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425 results on '"Ammendola, P."'

1. Artificial Intelligence for the Electron Ion Collider (AI4EIC)

Author

Allaire, C, Ammendola, R, Aschenauer, E-C, Balandat, M, Battaglieri, M, Bernauer, J, Bondì, M, Branson, N, Britton, T, Butter, A, Chahrour, I, Chatagnon, P, Cisbani, E, Cline, EW, Dash, S, Dean, C, Deconinck, W, Deshpande, A, Diefenthaler, M, Ent, R, Fanelli, C, Finger, M, Fol, E, Furletov, S, Gao, Y, Giroux, J, Waduge, NC Gunawardhana, Hassan, O, Hegde, PL, Hernández-Pinto, RJ, Blin, A Hiller, Horn, T, Huang, J, Jalotra, A, Jayakodige, D, Joo, B, Junaid, M, Kalantarians, N, Karande, P, Kriesten, B, Elayavalli, R Kunnawalkam, Li, Y, Lin, M, Liu, F, Liuti, S, Matousek, G, McEneaney, M, McSpadden, D, Menzo, T, Miceli, T, Mikuni, V, Montgomery, R, Nachman, B, Nair, RR, Niestroy, J, Oregon, SA Ochoa, Oleniacz, J, Osborn, JD, Paudel, C, Pecar, C, Peng, C, Perdue, GN, Phelps, W, Purschke, ML, Rajendran, H, Rajput, K, Ren, Y, Renteria-Estrada, DF, Richford, D, Roy, BJ, Roy, D, Saini, A, Sato, N, Satogata, T, Sborlini, G, Schram, M, Shih, D, Singh, J, Singh, R, Siodmok, A, Stevens, J, Stone, P, Suarez, L, Suresh, K, Tawfik, A-N, Acosta, F Torales, Tran, N, Trotta, R, Twagirayezu, FJ, Tyson, R, Volkova, S, Vossen, A, Walter, E, Whiteson, D, Williams, M, Wu, S, Zachariou, N, and Zurita, P

Subjects
Information and Computing Sciences, Human-Centred Computing
Abstract

The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.

Published
2024

2. Large-scale spin-orbit photonic circuits in two dimensions

Author

Ammendola, Maria Gorizia, Di Colandrea, Francesco, Marrucci, Lorenzo, and Cardano, Filippo

Subjects
Physics - Optics, Quantum Physics
Abstract

Photonic circuits, optical platforms that connect input and output modes according to a specific map, serve as effective optical processors for both classical and quantum states of light. The number of optical elements typically scales with that of processed modes, leading to a direct correlation between system size, circuit complexity, and optical losses. Here we present a photonic circuit technology implementing large-scale unitary maps, linking a single input to hundreds of output modes in a two-dimensional compact layout. The map corresponds to the outcome of a quantum walk of structured photons, realized experimentally through light propagation in three liquid-crystal metasurfaces, having the local orientation of optic axes artificially engineered in a complex pattern. Theoretically, the walk length and the number of connected modes can be arbitrary, keeping optical losses constant. The patterns can be designed to accurately replicate multiple unitary maps. We also discuss limited reconfigurability by adjusting the overall birefringence and the relative displacement of the three optical elements. These results lay the basis for the design of low-loss photonic circuits that target a broader range of unitary maps, primarily for manipulating multi-photon states in genuinely quantum regimes.

Published
2024

4. Gamma-Ray Burst observations by the high-energy charged particle detector on board the CSES-01 satellite between 2019 and 2021

Author

Palma, Francesco, Martucci, Matteo, Neubüser, Coralie, Sotgiu, Alessandro, Follega, Francesco Maria, Ubertini, Pietro, Bazzano, Angela, Rodi, James, Ammendola, Roberto, Badoni, Davide, Bartocci, Simona, Battiston, Roberto, Beolè, Stefania, Bertello, Igor, Burger, William Jerome, Campana, Donatella, Cicone, Antonio, Cipollone, Piero, Coli, Silvia, Conti, Livio, Contin, Andrea, Cristoforetti, Marco, D'Angelo, Giulia, De Angelis, Fabrizio, De Donato, Cinzia, De Santis, Cristian, Diego, Piero, Di Luca, Andrea, Fiorenza, Emiliano, Gebbia, Giuseppe, Iuppa, Roberto, Lega, Alessandro, Lolli, Mauro, Martino, Bruno, Masciantonio, Giuseppe, Mergè, Matteo, Mese, Marco, Morbidini, Alfredo, Nozzoli, Francesco, Nuccilli, Fabrizio, Oliva, Alberto, Osteria, Giuseppe, Palmonari, Federico, Panico, Beatrice, Papini, Emanuele, Parmentier, Alexandra, Perciballi, Stefania, Perfetto, Francesco, Perinelli, Alessio, Picozza, Piergiorgio, Piersanti, Mirko, Pozzato, Michele, Rebustini, Gianmaria, Recchiuti, Dario, Ricci, Ester, Ricci, Marco, Ricciarini, Sergio Bruno, Russi, Andrea, Sahnoun, Zouleikha, Savino, Umberto, Scotti, Valentina, Shen, Xuhui, Sparvoli, Roberta, Tofani, Silvia, Vertolli, Nello, Vilona, Veronica, Vitale, Vincenzo, Zannoni, Ugo, Zeren, Zhima, Zoffoli, Simona, and Zuccon, Paolo

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

In this paper we report the detection of five strong Gamma-Ray Bursts (GRBs) by the High-Energy Particle Detector (HEPD-01) mounted on board the China Seismo-Electromagnetic Satellite (CSES-01), operational since 2018 on a Sun-synchronous polar orbit at a $\sim$ 507 km altitude and 97$^\circ$ inclination. HEPD-01 was designed to detect high-energy electrons in the energy range 3 - 100 MeV, protons in the range 30 - 300 MeV, and light nuclei in the range 30 - 300 MeV/n. Nonetheless, Monte Carlo simulations have shown HEPD-01 is sensitive to gamma-ray photons in the energy range 300 keV - 50 MeV, even if with a moderate effective area above $\sim$ 5 MeV. A dedicated time correlation analysis between GRBs reported in literature and signals from a set of HEPD-01 trigger configuration masks has confirmed the anticipated detector sensitivity to high-energy photons. A comparison between the simultaneous time profiles of HEPD-01 electron fluxes and photons from GRB190114C, GRB190305A, GRB190928A, GRB200826B and GRB211211A has shown a remarkable similarity, in spite of the different energy ranges. The high-energy response, with peak sensitivity at about 2 MeV, and moderate effective area of the detector in the actual flight configuration explain why these five GRBs, characterised by a fluence above $\sim$ 3 $\times$ 10$^{-5}$ erg cm$^{-2}$ in the energy interval 300 keV - 50 MeV, have been detected., Comment: Accepted for publication in The Astrophysical Journal (ApJ)

Published
2023

6. Artificial Intelligence for the Electron Ion Collider (AI4EIC)

Author

Allaire, C., Ammendola, R., Aschenauer, E. -C., Balandat, M., Battaglieri, M., Bernauer, J., Bondì, M., Branson, N., Britton, T., Butter, A., Chahrour, I., Chatagnon, P., Cisbani, E., Cline, E. W., Dash, S., Dean, C., Deconinck, W., Deshpande, A., Diefenthaler, M., Ent, R., Fanelli, C., Finger, M., Finger, Jr., M., Fol, E., Furletov, S., Gao, Y., Giroux, J., Waduge, N. C. Gunawardhana, Harish, R., Hassan, O., Hegde, P. L., Hernández-Pinto, R. J., Blin, A. Hiller, Horn, T., Huang, J., Jayakodige, D., Joo, B., Junaid, M., Karande, P., Kriesten, B., Elayavalli, R. Kunnawalkam, Lin, M., Liu, F., Liuti, S., Matousek, G., McEneaney, M., McSpadden, D., Menzo, T., Miceli, T., Mikuni, V., Montgomery, R., Nachman, B., Nair, R. R., Niestroy, J., Oregon, S. A. Ochoa, Oleniacz, J., Osborn, J. D., Paudel, C., Pecar, C., Peng, C., Perdue, G. N., Phelps, W., Purschke, M. L., Rajput, K., Ren, Y., Renteria-Estrada, D. F., Richford, D., Roy, B. J., Roy, D., Sato, N., Satogata, T., Sborlini, G., Schram, M., Shih, D., Singh, J., Singh, R., Siodmok, A., Stone, P., Stevens, J., Suarez, L., Suresh, K., Tawfik, A. -N., Acosta, F. Torales, Tran, N., Trotta, R., Twagirayezu, F. J., Tyson, R., Volkova, S., Vossen, A., Walter, E., Whiteson, D., Williams, M., Wu, S., Zachariou, N., and Zurita, P.

Subjects
Physics - Accelerator Physics, Computer Science - Machine Learning, High Energy Physics - Experiment, Nuclear Experiment, Nuclear Theory
Abstract

The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments., Comment: 27 pages, 11 figures, AI4EIC workshop, tutorials and hackathon

Published
2023

7. APEIRON: composing smart TDAQ systems for high energy physics experiments

Author

Ammendola, Roberto, Biagioni, Andrea, Chiarini, Carlotta, Ciardiello, Andrea, Cretaro, Paolo, Frezza, Ottorino, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Paolucci, Pier Stanislao, Rossi, Cristian, Simula, Francesco, Turisini, Matteo, and Vicini, Piero

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Physics - Instrumentation and Detectors
Abstract

APEIRON is a framework encompassing the general architecture of a distributed heterogeneous processing platform and the corresponding software stack, from the low level device drivers up to the high level programming model. The framework is designed to be efficiently used for studying, prototyping and deploying smart trigger and data acquisition (TDAQ) systems for high energy physics experiments., Comment: Under review in Journal of Physics: Conference Series (ACAT 2022)

Published
2023

8. HIKE, High Intensity Kaon Experiments at the CERN SPS

Author

Gil, E. Cortina, Jerhot, J., Lurkin, N., Numao, T., Velghe, B., Wong, V. W. S., Bryman, D., Bician, L., Hives, Z., Husek, T., Kampf, K., Koval, M., Akmete, A. T., Aliberti, R., Büscher, V., Di Lella, L., Doble, N., Peruzzo, L., Schott, M., Wahl, H., Wanke, R., Döbrich, B., Montalto, L., Rinaldi, D., Dettori, F., Cardini, A., Lai, A., Bomben, L., Carsi, S., Prest, M., Selmi, A., Lezzani, G., Monti-Guarnieri, P., Perna, L., Dalpiaz, P., Guidi, V., Mazzolari, A., Neri, I., Petrucci, F., Soldani, M., Bandiera, L., Ramusino, A. Cotta, Gianoli, A., Romagnoni, M., Sytov, A., Lenti, M., Panichi, I., Ruggiero, G., Bizzeti, A., Bucci, F., Antonelli, A., Di Meco, E., Lanfranchi, G., Martellotti, S., Martini, M., Moulson, M., Paesani, D., Sarra, I., Spadaro, T., Tinti, G., Vallazza, E., Ambrosino, F., Giordano, R., Massarotti, P., Napolitano, M., Saracino, G., Di Donato, C., D'Ambrosio, G., D'Errico, M., Mirra, M., Neshatpour, S., Fiorenza, R., Rosa, I., De Salvador, D., Sgarbossa, F., Anzivino, G., Germani, S., Volpe, R., Cenci, P., Cutini, S., Duk, V., Lubrano, P., Pepe, M., Piccini, M., Costantini, F., Donati, S., Giorgi, M., Giudici, S., Lamanna, G., Pedreschi, E., Pinzino, J., Sozzi, M., Fantechi, R., Giusti, V., Spinella, F., Mannelli, I., Raggi, M., Biagioni, A., Cretaro, P., Frezza, O., Cicero, F. Lo, Lonardo, A., Turisini, M., Vicini, P., Ammendola, R., Bonaiuto, V., Fucci, A., Salamon, A., Sargeni, F., Arcidiacono, R., Bloch-Devaux, B., Menichetti, E., Migliore, E., Biino, C., Marchetto, F., Baigarashev, D., Kambar, Y., Kereibay, D., Mukhamejanov, Y., Sakhiyev, S., Olvera, A. Briano, Engelfried, J., Estrada-Tristan, N., Piandani, R., Santos, M. A. Reyes, Rivera, K. A. Rodriguez, Boboc, P. C., Bragadireanu, A. M., Ghinescu, S. A., Hutanu, O. E., Blazek, T., Cerny, V., Kleimenova, A., Kucerova, Z., Santos, D. Martinez, Prouve, C., Boretto, M., Brizioli, F., Ceccucci, A., Corvino, M., Danielsson, H., Duval, F., Gamberini, E., Guida, R., Holzer, E. B., Jenninger, B., Miotto, G. Lehmann, Lichard, P., Massri, K., Minucci, E., Perrin-Terrin, M., Ryjov, V., Swallow, J., Van Dijk, M., Zamkovsky, M., Marchevski, R., Gerbershagen, A., Fry, J. R., Gonnella, F., Goudzovski, E., Henshaw, J., Kenworthy, C., Lazzeroni, C., Parkinson, C., Romano, A., Sanders, J., Shaikhiev, A., Tomczak, A., Heath, H., Britton, D., Norton, A., Protopopescu, D., Dainton, J. B., Jones, R. W. L., De Santo, A., Salvatore, F., Cooper, P., Coward, D., and Rubin, P.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

A timely and long-term programme of kaon decay measurements at a new level of precision is presented, leveraging the capabilities of the CERN Super Proton Synchrotron (SPS). The proposed programme is firmly anchored on the experience built up studying kaon decays at the SPS over the past four decades, and includes rare processes, CP violation, dark sectors, symmetry tests and other tests of the Standard Model. The experimental programme is based on a staged approach involving experiments with charged and neutral kaon beams, as well as operation in beam-dump mode. The various phases will rely on a common infrastructure and set of detectors., Comment: Letter of Intent submitted to CERN SPSC. Address all correspondence to hike-eb@cern.ch

Published
2022

9. A Multi-FPGA High Performance Computing System for 3D FFT-based Numerical Simulations

Author

Ammendola, Roberto

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Physics - Computational Physics
Abstract

In the field of High Performance Computing, communications among processes represent a typical bottleneck for massively parallel scientific applications. Object of this research is the development of a network interface card with specific offloading capabilities that could help large scale simulations in terms of communication latency and scalability with the number of computing elements. In particular this work deals with the development of a double precision floating point complex arithmetic unit with a parallel-pipelined architecture, in order to implement a massively parallel computing system tailored for three dimensional Fast Fourier Transform., Comment: PhD Thesis at Department of Electrical Engineering, University of Roma Tor Vergata, year 2019

Published
2022

11. Progress report on the online processing upgrade at the NA62 experiment

Author

Turisini, M., Ammendola, R., Biagioni, A., Ciardiello, A., Cretaro, P., Frezza, O., Lamanna, G., Cicero, F. Lo, Lonardo, A., Martinelli, M., Piandani, R., Soldi, D., and Vicini, P.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

A new FPGA-based low-level trigger processor has been installed at the NA62 experiment. It is intended to extend the features of its predecessor due to a faster interconnection technology and additional logic resources available on the new platform. With the aim of improving trigger selectivity and exploring new architectures for complex trigger computation, a GPU system has been developed and a neural network on FPGA is in progress. They both process data streams from the Ring Imaging Cherenkov detector of the experiment to extract in real time high level features for the trigger logic. Description of the systems, latest developments and design flows are reported in this paper., Comment: 5 pages, 3 figures, 1 table. Submitted to JINST as part of the TWEPP2021 conference proceeding (Topical Workshop on Electronics for Particle Physics, 20 - 24 September, 2021, online)

Published
2022

12. Architectural improvements and technological enhancements for the APEnet+ interconnect system

Author

Ammendola, R., Biagioni, A., Frezza, O., Lonardo, A., Cicero, F. Lo, Martinelli, M., Paolucci, P. S., Pastorelli, E., Rossetti, D., Simula, F., Tosoratto, L., and Vicini, P.

Subjects
Physics - Computational Physics, Computer Science - Hardware Architecture
Abstract

The APEnet+ board delivers a point-to-point, low-latency, 3D torus network interface card. In this paper we describe the latest generation of APEnet NIC, APEnet v5, integrated in a PCIe Gen3 board based on a state-of-the-art, 28 nm Altera Stratix V FPGA. The NIC features a network architecture designed following the Remote DMA paradigm and tailored to tightly bind the computing power of modern GPUs to the communication fabric. For the APEnet v5 board we show characterizing figures as achieved bandwidth and BER obtained by exploiting new high performance ALTERA transceivers and PCIe Gen3 compliancy.

Published
2022
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15. Author Correction: Evidence of an upper ionospheric electric field perturbation correlated with a gamma ray burst

Author

Piersanti, Mirko, Ubertini, Pietro, Battiston, Roberto, Bazzano, Angela, D’Angelo, Giulia, Rodi, James G., Diego, Piero, Zeren, Zhima, Ammendola, Roberto, Badoni, Davide, Bartocci, Simona, Beolè, Stefania, Bertello, Igor, Burger, William J., Campana, Donatella, Cicone, Antonio, Cipollone, Piero, Coli, Silvia, Conti, Livio, Contin, Andrea, Cristoforetti, Marco, De Angelis, Fabrizio, De Donato, Cinzia, De Santis, Cristian, Di Luca, Andrea, Fiorenza, Emiliano, Follega, Francesco Maria, Gebbia, Giuseppe, Iuppa, Roberto, Lega, Alessandro, Lolli, Mauro, Martino, Bruno, Martucci, Matteo, Masciantonio, Giuseppe, Mergè, Matteo, Mese, Marco, Morbidini, Alfredo, Neubüser, Coralie, Nozzoli, Francesco, Nuccilli, Fabrizio, Oliva, Alberto, Osteria, Giuseppe, Palma, Francesco, Palmonari, Federico, Panico, Beatrice, Papini, Emanuele, Parmentier, Alexandra, Perciballi, Stefania, Perfetto, Francesco, Perinelli, Alessio, Picozza, Piergiorgio, Pozzato, Michele, Rebustini, Gianmaria, Recchiuti, Dario, Ricci, Ester, Ricci, Marco, Ricciarini, Sergio B., Russi, Andrea, Sahnoun, Zuleika, Savino, Umberto, Scotti, Valentina, Shen, Xuhui, Sotgiu, Alessandro, Sparvoli, Roberta, Tofani, Silvia, Vertolli, Nello, Vilona, Veronica, Vitale, Vincenzo, Zannoni, Ugo, Zoffoli, Simona, and Zuccon, Paolo

Published
2023
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16. Group brief cognitive behavioral therapy for suicide prevention compared to dialectal behavior therapy skills group for military service members: a study protocol of a randomized controlled trial

Author

Baker, Justin C., Grover, Shawna, Gunn, Laura H., Charles, Cindy, Rikli, Heather, Franks, Michael J., Khazem, Lauren R., Williams, Sean, Ammendola, Ennio, Washington, Cherita, Bennette, Marquita, Starkey, Austin, Schnecke, Kelly, Cain, Shannon, Bryan, Craig J., and Cramer, Robert J.

Published
2023
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17. 2023 WSES guidelines for the prevention, detection, and management of iatrogenic urinary tract injuries (IUTIs) during emergency digestive surgery

Author

de’Angelis, Nicola, Schena, Carlo Alberto, Marchegiani, Francesco, Reitano, Elisa, De Simone, Belinda, Wong, Geoffrey Yuet Mun, Martínez-Pérez, Aleix, Abu-Zidan, Fikri M., Agnoletti, Vanni, Aisoni, Filippo, Ammendola, Michele, Ansaloni, Luca, Bala, Miklosh, Biffl, Walter, Ceccarelli, Graziano, Ceresoli, Marco, Chiara, Osvaldo, Chiarugi, Massimo, Cimbanassi, Stefania, Coccolini, Federico, Coimbra, Raul, Di Saverio, Salomone, Diana, Michele, Dioguardi Burgio, Marco, Fraga, Gustavo, Gavriilidis, Paschalis, Gurrado, Angela, Inchingolo, Riccardo, Ingels, Alexandre, Ivatury, Rao, Kashuk, Jeffry L., Khan, Jim, Kirkpatrick, Andrew W., Kim, Fernando J., Kluger, Yoram, Lakkis, Zaher, Leppäniemi, Ari, Maier, Ronald V., Memeo, Riccardo, Moore, Ernest E., Ordoñez, Carlos A., Peitzman, Andrew B., Pellino, Gianluca, Picetti, Edoardo, Pikoulis, Manos, Pisano, Michele, Podda, Mauro, Romeo, Oreste, Rosa, Fausto, Tan, Edward, Ten Broek, Richard P., Testini, Mario, Tian Wei Cheng, Brian Anthony, Weber, Dieter, Sacco, Emilio, Sartelli, Massimo, Tonsi, Alfredo, Dal Moro, Fabrizio, and Catena, Fausto

Published
2023
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18. Evidence of an upper ionospheric electric field perturbation correlated with a gamma ray burst

Author

Piersanti, Mirko, Ubertini, Pietro, Battiston, Roberto, Bazzano, Angela, D’Angelo, Giulia, Rodi, James G., Diego, Piero, Zeren, Zhima, Ammendola, Roberto, Badoni, Davide, Bartocci, Simona, Beolè, Stefania, Bertello, Igor, Burger, William J., Campana, Donatella, Cicone, Antonio, Cipollone, Piero, Coli, Silvia, Conti, Livio, Contin, Andrea, Cristoforetti, Marco, De Angelis, Fabrizio, De Donato, Cinzia, De Santis, Cristian, Di Luca, Andrea, Fiorenza, Emiliano, Follega, Francesco Maria, Gebbia, Giuseppe, Iuppa, Roberto, Lega, Alessandro, Lolli, Mauro, Martino, Bruno, Martucci, Matteo, Masciantonio, Giuseppe, Mergè, Matteo, Mese, Marco, Morbidini, Alfredo, Neubüser, Coralie, Nozzoli, Francesco, Nuccilli, Fabrizio, Oliva, Alberto, Osteria, Giuseppe, Palma, Francesco, Palmonari, Federico, Panico, Beatrice, Papini, Emanuele, Parmentier, Alexandra, Perciballi, Stefania, Perfetto, Francesco, Perinelli, Alessio, Picozza, Piergiorgio, Pozzato, Michele, Rebustini, Gianmaria, Recchiuti, Dario, Ricci, Ester, Ricci, Marco, Ricciarini, Sergio B., Russi, Andrea, Sahnoun, Zuleika, Savino, Umberto, Scotti, Valentina, Shen, Xuhui, Sotgiu, Alessandro, Sparvoli, Roberta, Tofani, Silvia, Vertolli, Nello, Vilona, Veronica, Vitale, Vincenzo, Zannoni, Ugo, Zoffoli, Simona, and Zuccon, Paolo

Published
2023
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19. Training curriculum in minimally invasive emergency digestive surgery: 2022 WSES position paper

Author

de’Angelis, Nicola, Marchegiani, Francesco, Schena, Carlo Alberto, Khan, Jim, Agnoletti, Vanni, Ansaloni, Luca, Barría Rodríguez, Ana Gabriela, Bianchi, Paolo Pietro, Biffl, Walter, Bravi, Francesca, Ceccarelli, Graziano, Ceresoli, Marco, Chiara, Osvaldo, Chirica, Mircea, Cobianchi, Lorenzo, Coccolini, Federico, Coimbra, Raul, Cotsoglou, Christian, D’Hondt, Mathieu, Damaskos, Dimitris, De Simone, Belinda, Di Saverio, Salomone, Diana, Michele, Espin‐Basany, Eloy, Fichtner‐Feigl, Stefan, Fugazzola, Paola, Gavriilidis, Paschalis, Gronnier, Caroline, Kashuk, Jeffry, Kirkpatrick, Andrew W., Ammendola, Michele, Kouwenhoven, Ewout A., Laurent, Alexis, Leppaniemi, Ari, Lesurtel, Mickaël, Memeo, Riccardo, Milone, Marco, Moore, Ernest, Pararas, Nikolaos, Peitzmann, Andrew, Pessaux, Patrick, Picetti, Edoardo, Pikoulis, Manos, Pisano, Michele, Ris, Frederic, Robison, Tyler, Sartelli, Massimo, Shelat, Vishal G., Spinoglio, Giuseppe, Sugrue, Michael, Tan, Edward, Van Eetvelde, Ellen, Kluger, Yoram, Weber, Dieter, and Catena, Fausto

Published
2023
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20. The integrated low-level trigger and readout system of the CERN NA62 experiment

Author

Ammendola, R., Angelucci, B., Barbanera, M., Biagioni, A., Cerny, V., Checcucci, B., Fantechi, R., Gonnella, F., Koval, M., Krivda, M., Lamanna, G., Lupi, M., Lonardo, A., Papi, A., Parkinson, C., Pedreschi, E., Petrov, P., Piandani, R., Pinzino, J., Pontisso, L., Raggi, M., Soldi, D., Sozzi, M. S., Spinella, F., Venditti, S., and Vicini, P.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The integrated low-level trigger and data acquisition (TDAQ) system of the NA62 experiment at CERN is described. The requirements of a large and fast data reduction in a high-rate environment for a medium-scale, distributed ensemble of many different sub-detectors led to the concept of a fully digital integrated system with good scaling capabilities. The NA62 TDAQ system is rather unique in allowing full flexibility on this scale, allowing in principle any information available from the detector to be used for triggering. The design concept, implementation and performances from the first years of running are illustrated., Comment: 32 pages, 23 figures

Published
2019
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21. Improved calorimetric particle identification in NA62 using machine learning techniques

Author

Cortina Gil, E., Kleimenova, A., Minucci, E., Padolski, S., Petrov, P., Shaikhiev, A., Volpe, R., Fedorko, W., Numao, T., Petrov, Y., Velghe, B., Wong, V. W. S., Yu, M., Bryman, D., Fu, J., Hives, Z., Husek, T., Jerhot, J., Kampf, K., Zamkovsky, M., De Martino, B., Perrin-Terrin, M., Akmete, A. T., Aliberti, R., Khoriauli, G., Kunze, J., Lomidze, D., Peruzzo, L., Vormstein, M., Wanke, R., Dalpiaz, P., Fiorini, M., Mazzolari, A., Neri, I., Norton, A., Petrucci, F., Soldani, M., Wahl, H., Bandiera, L., Cotta Ramusino, A., Gianoli, A., Romagnoni, M., Sytov, A., Iacopini, E., Latino, G., Lenti, M., Lo Chiatto, P., Panichi, I., Parenti, A., Bizzeti, A., Bucci, F., Antonelli, A., Georgiev, G., Kozhuharov, V., Lanfranchi, G., Martellotti, S., Moulson, M., Spadaro, T., Tinti, G., Ambrosino, F., Capussela, T., Corvino, M., D’Errico, M., Di Filippo, D., Fiorenza, R., Giordano, R., Massarotti, P., Mirra, M., Napolitano, M., Rosa, I., Saracino, G., Anzivino, G., Brizioli, F., Imbergamo, E., Lollini, R., Piandani, R., Santoni, C., Barbanera, M., Cenci, P., Checcucci, B., Lubrano, P., Lupi, M., Pepe, M., Piccini, M., Costantini, F., Di Lella, L., Doble, N., Giorgi, M., Giudici, S., Lamanna, G., Lari, E., Pedreschi, E., Sozzi, M., Cerri, C., Fantechi, R., Pontisso, L., Spinella, F., Mannelli, I., D’Agostini, G., Raggi, M., Biagioni, A., Cretaro, P., Frezza, O., Leonardi, E., Lonardo, A., Turisini, M., Valente, P., Vicini, P., Ammendola, R., Bonaiuto, V., Fucci, A., Salamon, A., Sargeni, F., Arcidiacono, R., Bloch-Devaux, B., Boretto, M., Menichetti, E., Migliore, E., Soldi, D., Biino, C., Filippi, A., Marchetto, F., Briano Olvera, A., Engelfried, J., Estrada-Tristan, N., Reyes Santos, M. A., Boboc, P., Bragadireanu, A. M., Ghinescu, S. A., Hutanu, O. E., Bician, L., Blazek, T., Cerny, V., Kucerova, Z., Bernhard, J., Ceccucci, A., Ceoletta, M., Danielsson, H., De Simone, N., Duval, F., Döbrich, B., Federici, L., Gamberini, E., Gatignon, L., Guida, R., Hahn, F., Holzer, E. B., Jenninger, B., Koval, M., Laycock, P., Lehmann Miotto, G., Lichard, P., Mapelli, A., Marchevski, R., Massri, K., Noy, M., Palladino, V., Pinzino, J., Ryjov, V., Schuchmann, S., Venditti, S., Bache, T., Brunetti, M. B., Duk, V., Fascianelli, V., Fry, J. R., Gonnella, F., Goudzovski, E., Henshaw, J., Iacobuzio, L., Kenworthy, C., Lazzeroni, C., Lurkin, N., Newson, F., Parkinson, C., Romano, A., Sanders, J., Sergi, A., Sturgess, A., Swallow, J., Tomczak, A., Heath, H., Page, R., Trilov, S., Angelucci, B., Britton, D., Graham, C., Protopopescu, D., Carmignani, J., Dainton, J. B., Jones, R. W. L., Ruggiero, G., Fulton, L., Hutchcroft, D., Maurice, E., Wrona, B., Conovaloff, A., Cooper, P., Coward, D., Rubin, P., Baeva, A., Baigarashev, D., Emelyanov, D., Enik, T., Falaleev, V., Fedotov, S., Gorshanov, K., Gushchin, E., Kekelidze, V., Kereibay, D., Kholodenko, S., Khotyantsev, A., Korotkova, A., Kudenko, Y., Kurochka, V., Kurshetsov, V., Litov, L., Madigozhin, D., Medvedeva, M., Mefodev, A., Misheva, M., Molokanova, N., Movchan, S., Obraztsov, V., Okhotnikov, A., Ostankov, A., Polenkevich, I., Potrebenikov, Yu., Sadovskiy, A., Semenov, V., Shkarovskiy, S., Sugonyaev, V., Yushchenko, O., and Zinchenko, A.

Published
2023
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22. A study of the K+→ π0e+νγ decay

Author

Cortina Gil, E., Kleimenova, A., Minucci, E., Padolski, S., Petrov, P., Shaikhiev, A., Volpe, R., Numao, T., Petrov, Y., Velghe, B., Wong, V. W. S., Bryman, D., Fu, J., Hives, Z., Husek, T., Jerhot, J., Kampf, K., Zamkovsky, M., De Martino, B., Perrin-Terrin, M., Akmete, A. T., Aliberti, R., Khoriauli, G., Kunze, J., Lomidze, D., Peruzzo, L., Vormstein, M., Wanke, R., Dalpiaz, P., Fiorini, M., Mazzolari, A., Neri, I., Norton, A., Petrucci, F., Soldani, M., Wahl, H., Bandiera, L., Cotta Ramusino, A., Gianoli, A., Romagnoni, M., Sytov, A., Iacopini, E., Latino, G., Lenti, M., Lo Chiatto, P., Panichi, I., Parenti, A., Bizzeti, A., Bucci, F., Antonelli, A., Georgiev, G., Kozhuharov, V., Lanfranchi, G., Martellotti, S., Moulson, M., Spadaro, T., Tinti, G., Ambrosino, F., Capussela, T., Corvino, M., D’Errico, M., Di Filippo, D., Fiorenza, R., Giordano, R., Massarotti, P., Mirra, M., Napolitano, M., Rosa, I., Saracino, G., Anzivino, G., Brizioli, F., Imbergamo, E., Lollini, R., Piandani, R., Santoni, C., Barbanera, M., Cenci, P., Checcucci, B., Lubrano, P., Lupi, M., Pepe, M., Piccini, M., Costantini, F., Di Lella, L., Doble, N., Giorgi, M., Giudici, S., Lamanna, G., Lari, E., Pedreschi, E., Sozzi, M., Cerri, C., Fantechi, R., Pontisso, L., Spinella, F., Mannelli, I., D’Agostini, G., Raggi, M., Biagioni, A., Cretaro, P., Frezza, O., Leonardi, E., Lonardo, A., Turisini, M., Valente, P., Vicini, P., Ammendola, R., Bonaiuto, V., Fucci, A., Salamon, A., Sargeni, F., Arcidiacono, R., Bloch-Devaux, B., Boretto, M., Menichetti, E., Migliore, E., Soldi, D., Biino, C., Filippi, A., Marchetto, F., Briano Olvera, A., Engelfried, J., Estrada-Tristan, N., Reyes Santos, M. A., Boboc, P., Bragadireanu, A. M., Ghinescu, S. A., Hutanu, O. E., Bician, L., Blazek, T., Cerny, V., Kucerova, Z., Bernhard, J., Ceccucci, A., Ceoletta, M., Danielsson, H., De Simone, N., Duval, F., Döbrich, B., Federici, L., Gamberini, E., Gatignon, L., Guida, R., Hahn, F., Holzer, E. B., Jenninger, B., Koval, M., Laycock, P., Lehmann Miotto, G., Lichard, P., Mapelli, A., Marchevski, R., Massri, K., Noy, M., Palladino, V., Pinzino, J., Ryjov, V., Schuchmann, S., Venditti, S., Bache, T., Brunetti, M. B., Duk, V., Fascianelli, V., Fry, J. R., Gonnella, F., Goudzovski, E., Henshaw, J., Iacobuzio, L., Kenworthy, C., Lazzeroni, C., Lurkin, N., Newson, F., Parkinson, C., Romano, A., Sanders, J., Sergi, A., Sturgess, A., Swallow, J., Tomczak, A., Heath, H., Page, R., Trilov, S., Angelucci, B., Britton, D., Graham, C., Protopopescu, D., Carmignani, J., Dainton, J. B., Jones, R. W. L., Ruggiero, G., Fulton, L., Hutchcroft, D., Maurice, E., Wrona, B., Conovaloff, A., Cooper, P., Coward, D., Rubin, P., Baeva, A., Baigarashev, D., Emelyanov, D., Enik, T., Falaleev, V., Fedotov, S., Gorshanov, K., Gushchin, E., Kekelidze, V., Kereibay, D., Kholodenko, S., Khotyantsev, A., Korotkova, A., Kudenko, Y., Kurochka, V., Kurshetsov, V., Litov, L., Madigozhin, D., Medvedeva, M., Mefodev, A., Misheva, M., Molokanova, N., Movchan, S., Obraztsov, V., Okhotnikov, A., Ostankov, A., Polenkevich, I., Potrebenikov, Yu., Sadovskiy, A., Semenov, V., Shkarovskiy, S., Sugonyaev, V., Yushchenko, O., and Zinchenko, A.

Published
2023
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23. Search for dark photon decays to μ+μ− at NA62

Author

Cortina Gil, E., Jerhot, J., Kleimenova, A., Lurkin, N., Zamkovsky, M., Numao, T., Velghe, B., Wong, V. W. S., Bryman, D., Hives, Z., Husek, T., Kampf, K., Koval, M., De Martino, B., Perrin-Terrin, M., Akmete, A. T., Aliberti, R., Di Lella, L., Doble, N., Peruzzo, L., Schuchmann, S., Wahl, H., Wanke, R., Dalpiaz, P., Mazzolari, A., Neri, I., Petrucci, F., Soldani, M., Bandiera, L., Cotta Ramusino, A., Gianoli, A., Romagnoni, M., Sytov, A., Lenti, M., Lo Chiatto, P., Marchevski, R., Panichi, I., Ruggiero, G., Bizzeti, A., Bucci, F., Antonelli, A., Kozhuharov, V., Lanfranchi, G., Martellotti, S., Moulson, M., Spadaro, T., Tinti, G., Ambrosino, F., D’Errico, M., Fiorenza, R., Giordano, R., Massarotti, P., Mirra, M., Napolitano, M., Rosa, I., Saracino, G., Anzivino, G., Brizioli, F., Cenci, P., Duk, V., Lollini, R., Lubrano, P., Pepe, M., Piccini, M., Costantini, F., Giorgi, M., Giudici, S., Lamanna, G., Lari, E., Pedreschi, E., Pinzino, J., Sozzi, M., Fantechi, R., Spinella, F., Mannelli, I., Raggi, M., Biagioni, A., Cretaro, P., Frezza, O., Lonardo, A., Turisini, M., Vicini, P., Ammendola, R., Bonaiuto, V., Fucci, A., Salamon, A., Sargeni, F., Arcidiacono, R., Bloch-Devaux, B., Menichetti, E., Migliore, E., Biino, C., Filippi, A., Marchetto, F., Soldi, D., Briano Olvera, A., Engelfried, J., Estrada-Tristan, N., Piandani, R., Reyes Santos, M. A., Boboc, P., Bragadireanu, A. M., Ghinescu, S. A., Hutanu, O. E., Blazek, T., Cerny, V., Kucerova, Z., Volpe, R., Bernhard, J., Bician, L., Boretto, M., Ceccucci, A., Ceoletta, M., Corvino, M., Danielsson, H., Duval, F., Döbrich, B., Federici, L., Gamberini, E., Guida, R., Holzer, E. B., Jenninger, B., Lehmann Miotto, G., Lichard, P., Massri, K., Minucci, E., Noy, M., Ryjov, V., Swallow, J., Fry, J. R., Gonnella, F., Goudzovski, E., Henshaw, J., Kenworthy, C., Lazzeroni, C., Parkinson, C., Romano, A., Sanders, J., Sergi, A., Shaikhiev, A., Tomczak, A., Heath, H., Britton, D., Norton, A., Protopopescu, D., Dainton, J. B., Gatignon, L., Jones, R. W. L., Cooper, P., Coward, D., Rubin, P., Baeva, A., Baigarashev, D., Emelyanov, D., Enik, T., Falaleev, V., Fedotov, S., Gorshanov, K., Gushchin, E., Kekelidze, V., Kereibay, D., Kholodenko, S., Khotyantsev, A., Korotkova, A., Kudenko, Y., Kurochka, V., Kurshetsov, V., Litov, L., Madigozhin, D., Mefodev, A., Misheva, M., Molokanova, N., Obraztsov, V., Okhotnikov, A., Polenkevich, I., Potrebenikov, Yu., Sadovskiy, A., Shkarovskiy, S., Sugonyaev, V., and Yushchenko, O.

Published
2023
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24. Addendum to: A measurement of the K+→ π+μ+μ− decay

Author

Cortina Gil, E., Kleimenova, A., Minucci, E., Padolski, S., Petrov, P., Shaikhiev, A., Volpe, R., Numao, T., Petrov, Y., Velghe, B., Wong, V. W. S., Bryman, D., Fu, J., Husek, T., Jerhot, J., Kampf, K., Zamkovsky, M., Aliberti, R., Khoriauli, G., Kunze, J., Lomidze, D., Peruzzo, L., Vormstein, M., Wanke, R., Dalpiaz, P., Fiorini, M., Neri, I., Norton, A., Petrucci, F., Wahl, H., Cotta Ramusino, A., Gianoli, A., Iacopini, E., Latino, G., Lenti, M., Parenti, A., Bizzeti, A., Bucci, F., Antonelli, A., Georgiev, G., Kozhuharov, V., Lanfranchi, G., Martellotti, S., Moulson, M., Spadaro, T., Tinti, G., Ambrosino, F., Capussela, T., Corvino, M., Di Filippo, D., Fiorenza, R., Massarotti, P., Mirra, M., Napolitano, M., Saracino, G., Anzivino, G., Brizioli, F., Imbergamo, E., Lollini, R., Piandani, R., Santoni, C., Barbanera, M., Cenci, P., Checcucci, B., Lubrano, P., Lupi, M., Pepe, M., Piccini, M., Costantini, F., Di Lella, L., Doble, N., Giorgi, M., Giudici, S., Lamanna, G., Lari, E., Pedreschi, E., Sozzi, M., Cerri, C., Fantechi, R., Pontisso, L., Spinella, F., Mannelli, I., D’Agostini, G., Raggi, M., Biagioni, A., Cretaro, P., Frezza, O., Leonardi, E., Lonardo, A., Turisini, M., Valente, P., Vicini, P., Ammendola, R., Bonaiuto, V., Fucci, A., Salamon, A., Sargeni, F., Arcidiacono, R., Bloch-Devaux, B., Boretto, M., Menichetti, E., Migliore, E., Soldi, D., Biino, C., Filippi, A., Marchetto, F., Engelfried, J., Estrada-Tristan, N., Bragadireanu, A. M., Ghinescu, S. A., Hutanu, O. E., Baeva, A., Baigarashev, D., Emelyanov, D., Enik, T., Falaleev, V., Kekelidze, V., Korotkova, A., Litov, L., Madigozhin, D., Misheva, M., Molokanova, N., Movchan, S., Polenkevich, I., Potrebenikov, Yu., Shkarovskiy, S., Zinchenko, A., Fedotov, S., Gushchin, E., Khotyantsev, A., Kudenko, Y., Kurochka, V., Medvedeva, M., Mefodev, A., Kholodenko, S., Kurshetsov, V., Obraztsov, V., Ostankov, A., Semenov, V., Sugonyaev, V., Yushchenko, O., Bician, L., Blazek, T., Cerny, V., Kucerova, Z., Bernhard, J., Ceccucci, A., Danielsson, H., De Simone, N., Duval, F., Döbrich, B., Federici, L., Gamberini, E., Gatignon, L., Guida, R., Hahn, F., Holzer, E. B., Jenninger, B., Koval, M., Laycock, P., Lehmann Miotto, G., Lichard, P., Mapelli, A., Marchevski, R., Massri, K., Noy, M., Palladino, V., Perrin-Terrin, M., Pinzino, J., Ryjov, V., Schuchmann, S., Venditti, S., Bache, T., Brunetti, M. B., Duk, V., Fascianelli, V., Fry, J. R., Gonnella, F., Goudzovski, E., Henshaw, J., Iacobuzio, L., Lazzeroni, C., Lurkin, N., Newson, F., Parkinson, C., Romano, A., Sergi, A., Sturgess, A., Swallow, J., Tomczak, A., Heath, H., Page, R., Trilov, S., Angelucci, B., Britton, D., Graham, C., Protopopescu, D., Carmignani, J., Dainton, J. B., Jones, R. W. L., Ruggiero, G., Fulton, L., Hutchcroft, D., Maurice, E., Wrona, B., Conovaloff, A., Cooper, P., Coward, D., and Rubin, P.

Published
2023
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25. KLEVER: An experiment to measure BR($K_L\to\pi^0\nu\bar{\nu}$) at the CERN SPS

Author

Ambrosino, F., Ammendola, R., Antonelli, A., Ayers, K., Badoni, D., Ballerini, G., Bandiera, L., Bernhard, J., Biino, C., Bomben, L., Bonaiuto, V., Bradley, A., Brunetti, M. B., Bucci, F., Cassese, A., Camattari, R., Corvino, M., De Salvador, D., Di Filippo, D., van Dijk, M., Doble, N., Fantechi, R., Fedotov, S., Filippi, A., Fontana, F., Gatignon, L., Georgiev, G., Gerbershagen, A., Gianoli, A., Imbergamo, E., Kampf, K., Khabibullin, M., Kholodenko, S., Khotjantsev, A., Kozhuharov, V., Kudenko, Y., Kurochka, V., Lamanna, G., Lenti, M., Litov, L., Lutsenko, E., Maiolino, T., Mannelli, I., Martellotti, S., Martini, M., Mascagna, V., Maslenkina, A., Massarotti, P., Mazzolari, A., Menichetti, E., Mineev, O., Mirra, M., Moulson, M., Neri, I., Napolitano, M., Obraztsov, V., Ostankov, A., Paoluzzi, G., Petrucci, F., Prest, M., Romagnoni, M., Rosenthal, M., Rubin, P., Salamon, A., Salina, G., Sargeni, F., Semenov, V., Shaykhiev, A., Smirnov, A., Soldani, M., Soldi, D., Sozzi, M., Sugoniaev, V., Sytov, A., Vallazza, E., Volpe, R., Wanke, R., and Yershov, N.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

Precise measurements of the branching ratios for the flavor-changing neutral current decays $K\to\pi\nu\bar{\nu}$ can provide unique constraints on CKM unitarity and, potentially, evidence for new physics. It is important to measure both decay modes, $K^+\to\pi^+\nu\bar{\nu}$ and $K_L\to\pi^0\nu\bar{\nu}$, since different new physics models affect the rates for each channel differently. The goal of the NA62 experiment at the CERN SPS is to measure the BR for the charged channel to within 10%. For the neutral channel, the BR has never been measured. We are designing the KLEVER experiment to measure BR($K_L\to\pi^0\nu\bar{\nu}$) to $\sim$20% using a high-energy neutral beam at the CERN SPS starting in LHC Run 4. The boost from the high-energy beam facilitates the rejection of background channels such as $K_L\to\pi^0\pi^0$ by detection of the additional photons in the final state. On the other hand, the layout poses particular challenges for the design of the small-angle vetoes, which must reject photons from $K_L$ decays escaping through the beam exit amidst an intense background from soft photons and neutrons in the beam. Background from $\Lambda \to n\pi^0$ decays in the beam must also be kept under control. We present findings from our design studies for the beamline and experiment, with an emphasis on the challenges faced and the potential sensitivity for the measurement of BR($K_L\to\pi^0\nu\bar{\nu}$)., Comment: 13 pages, 4 figures. Submitted as input to the 2020 update of the European Strategy for Particle Physics. v2: Included authors unintentionally omitted in v1

Published
2019

26. Real-time cortical simulations: energy and interconnect scaling on distributed systems

Author

Simula, Francesco, Pastorelli, Elena, Paolucci, Pier Stanislao, Martinelli, Michele, Lonardo, Alessandro, Biagioni, Andrea, Capone, Cristiano, Capuani, Fabrizio, Cretaro, Paolo, De Bonis, Giulia, Cicero, Francesca Lo, Pontisso, Luca, Vicini, Piero, and Ammendola, Roberto

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Neural and Evolutionary Computing, Quantitative Biology - Neurons and Cognition
Abstract

We profile the impact of computation and inter-processor communication on the energy consumption and on the scaling of cortical simulations approaching the real-time regime on distributed computing platforms. Also, the speed and energy consumption of processor architectures typical of standard HPC and embedded platforms are compared. We demonstrate the importance of the design of low-latency interconnect for speed and energy consumption. The cost of cortical simulations is quantified using the Joule per synaptic event metric on both architectures. Reaching efficient real-time on large scale cortical simulations is of increasing relevance for both future bio-inspired artificial intelligence applications and for understanding the cognitive functions of the brain, a scientific quest that will require to embed large scale simulations into highly complex virtual or real worlds. This work stands at the crossroads between the WaveScalES experiment in the Human Brain Project (HBP), which includes the objective of large scale thalamo-cortical simulations of brain states and their transitions, and the ExaNeSt and EuroExa projects, that investigate the design of an ARM-based, low-power High Performance Computing (HPC) architecture with a dedicated interconnect scalable to million of cores; simulation of deep sleep Slow Wave Activity (SWA) and Asynchronous aWake (AW) regimes expressed by thalamo-cortical models are among their benchmarks., Comment: 8 pages, 8 figures, 4 tables, submitted after final publication on PDP2019 proceedings, corrected final DOI. arXiv admin note: text overlap with arXiv:1812.04974, arXiv:1804.03441

Published
2018
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27. Search for $K^{+}\rightarrow\pi^{+}\nu\overline{\nu}$ at NA62

Author

NA62 Collaboration, Rinella, G. Aglieri, Aliberti, R., Ambrosino, F., Ammendola, R., Angelucci, B., Antonelli, A., Anzivino, G., Arcidiacono, R., Azhinenko, I., Balev, S., Barbanera, M., Bendotti, J., Biagioni, A., Bician, L., Biino, C., Bizzeti, A., Blazek, T., Blik, A., Bloch-Devaux, B., Bolotov, V., Bonaiuto, V., Boretto, M., Bragadireanu, M., Britton, D., Britvich, G., Brunetti, M. B., Bryman, D., Bucci, F., Butin, F., Calvo, J., Capitolo, E., Capoccia, C., Capussela, T., Cassese, A., Catinaccio, A., Cecchetti, A., Ceccucci, A., Cenci, P., Cerny, V., Cerri, C., Checcucci, B., Chikilev, O., Chiozzi, S., Ciaranfi, R., Collazuol, G., Conovaloff, A., Cooke, P., Cooper, P., Corradi, G., Gil, E. Cortina, Costantini, F., Cotorobai, F., Ramusino, A. Cotta, Coward, D., D'Agostini, G., Dainton, J., Dalpiaz, P., Danielsson, H., Degrange, J., De Simone, N., Di Filippo, D., Di Lella, L., Di Lorenzo, S., Dixon, N., Doble, N., Dobrich, B., Duk, V., Elsha, V., Engelfried, J., Enik, T., Estrada, N., Falaleev, V., Fantechi, R., Fascianelli, V., Federici, L., Fedotov, S., Filippi, A., Fiorini, M., Fry, J., Fu, J., Fucci, A., Fulton, L., Gallorini, S., Galeotti, S., Gamberini, E., Gatignon, L., Georgiev, G., Ghinescu, S., Gianoli, A., Giorgi, M., Giudici, S., Glonti, L., Martins, A. Goncalves, Gonnella, F., Goudzovski, E., Guida, R., Gushchin, E., Hahn, F., Hallgren, B., Heath, H., Herman, F., Husek, T., Hutanu, O., Hutchcroft, D., Iacobuzio, L., Iacopini, E., Imbergamo, E., Jamet, O., Jarron, P., Jones, E., Kampf, T. Jones K., Kaplon, J., Kekelidze, V., Kholodenko, S., Khoriauli, G., Khotyantsev, A., Khudyakov, A., Kiryushin, Yu., Kleimenova, A., Kleinknecht, K., Kluge, A., Koval, M., Kozhuharov, V., Krivda, M., Kucerova, Z., Kudenko, Yu., Kunze, J., Lamanna, G., Latino, G., Lazzeroni, C., Lehmann-Miotto, G., Lenci, R., Lenti, M., Leonardi, E., Lichard, P., Lietava, R., Likhacheva, V., Litov, L., Lollini, R., Lomidze, D., Lonardo, A., Lupi, M., Lurkin, N., McCormick, K., Madigozhin, D., Maire, G., Mandeiro, C., Mannelli, I., Mannocchi, G., Mapelli, A., Marchetto, F., Marchevski, R., Martellotti, S., Massarotti, P., Massri, K., Matak, P., Maurice, E., Medvedeva, M., Mefodev, A., Menichetti, E., Migliore, E., Minucci, E., Mirra, M., Misheva, M., Molokanova, N., Morant, J., Morel, M., Moulson, M., Movchan, S., Munday, D., Napolitano, M., Neri, I., Newson, F., Noël, J., Norton, A., Noy, M., Nuessle, G., Numao, T., Obraztsov, V., Ostankov, A., Padolski, S., Page, R., Palladino, V., Paoluzzi, G., Parkinson, C., Pedreschi, E., Pepe, M., Gomez, F. Perez, Perrin-Terrin, M., Peruzzo, L., Petrov, P., Petrucci, F., Piandani, R., Piccini, M., Pietreanu, D., Pinzino, J., Polenkevich, I., Pontisso, L., Potrebenikov, Yu., Protopopescu, D., Raffaelli, F., Raggi, M., Riedler, P., Romano, A., Rubin, P., Ruggiero, G., Russo, V., Ryjov, V., Salamon, A., Salina, G., Samsonov, V., Santoni, C., Saracino, G., Sargeni, F., Semenov, V., Sergi, A., Serra, M., Shaikhiev, A., Shkarovskiy, S., Skillicorn, I., Soldi, D., Sotnikov, A., Sugonyaev, V., Sozzi, M., Spadaro, T., Spinella, F., Staley, R., Sturgess, A., Sutcliffe, P., Szilasi, N., Tagnani, D., Trilov, S., Valdata-Nappi, M., Valente, P., Vasile, M., Vassilieva, T., Velghe, B., Veltri, M., Venditti, S., Vicini, P., Volpe, R., Vormstein, M., Wahl, H., Wanke, R., Wertelaers, P., Winhart, A., Winston, R., Wrona, B., Yushchenko, O., Zamkovsky, M., and Zinchenko, A.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

$K^{+}\rightarrow\pi^{+}\nu\overline{\nu}$ is one of the theoretically cleanest meson decay where to look for indirect effects of new physics complementary to LHC searches. The NA62 experiment at CERN SPS is designed to measure the branching ratio of this decay with 10\% precision. NA62 took data in pilot runs in 2014 and 2015 reaching the final designed beam intensity. The quality of 2015 data acquired, in view of the final measurement, will be presented., Comment: proceeding of the conference New Trends in High-Energy Physics 2016

Published
2018

28. Large Scale Low Power Computing System - Status of Network Design in ExaNeSt and EuroExa Projects

Author

Ammendola, Roberto, Biagioni, Andrea, Capuani, Fabrizio, Cretaro, Paolo, De Bonis, Giulia, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Paolucci, Pier Stanislao, Pastorelli, Elena, Pontisso, Luca, Simula, Francesco, and Vicini, Piero

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Hardware Architecture, Computer Science - Networking and Internet Architecture
Abstract

The deployment of the next generation computing platform at ExaFlops scale requires to solve new technological challenges mainly related to the impressive number (up to 10^6) of compute elements required. This impacts on system power consumption, in terms of feasibility and costs, and on system scalability and computing efficiency. In this perspective analysis, exploration and evaluation of technologies characterized by low power, high efficiency and high degree of customization is strongly needed. Among the various European initiative targeting the design of ExaFlops system, ExaNeSt and EuroExa are EU-H2020 funded initiatives leveraging on high end MPSoC FPGAs. Last generation MPSoC FPGAs can be seen as non-mainstream but powerful HPC Exascale enabling components thanks to the integration of embedded multi-core, ARM-based low power CPUs and a huge number of hardware resources usable to co-design application oriented accelerators and to develop a low latency high bandwidth network architecture. In this paper we introduce ExaNet the FPGA-based, scalable, direct network architecture of ExaNeSt system. ExaNet allow us to explore different interconnection topologies, to evaluate advanced routing functions for congestion control and fault tolerance and to design specific hardware components for acceleration of collective operations. After a brief introduction of the motivations and goals of ExaNeSt and EuroExa projects, we will report on the status of network architecture design and its hardware/software testbed adding preliminary bandwidth and latency achievements.

Published
2018
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29. The Brain on Low Power Architectures - Efficient Simulation of Cortical Slow Waves and Asynchronous States

Author

Ammendola, Roberto, Biagioni, Andrea, Capuani, Fabrizio, Cretaro, Paolo, De Bonis, Giulia, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Paolucci, Pier Stanislao, Pastorelli, Elena, Pontisso, Luca, Simula, Francesco, and Vicini, Piero

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Neural and Evolutionary Computing, Quantitative Biology - Neurons and Cognition
Abstract

Efficient brain simulation is a scientific grand challenge, a parallel/distributed coding challenge and a source of requirements and suggestions for future computing architectures. Indeed, the human brain includes about 10^15 synapses and 10^11 neurons activated at a mean rate of several Hz. Full brain simulation poses Exascale challenges even if simulated at the highest abstraction level. The WaveScalES experiment in the Human Brain Project (HBP) has the goal of matching experimental measures and simulations of slow waves during deep-sleep and anesthesia and the transition to other brain states. The focus is the development of dedicated large-scale parallel/distributed simulation technologies. The ExaNeSt project designs an ARM-based, low-power HPC architecture scalable to million of cores, developing a dedicated scalable interconnect system, and SWA/AW simulations are included among the driving benchmarks. At the joint between both projects is the INFN proprietary Distributed and Plastic Spiking Neural Networks (DPSNN) simulation engine. DPSNN can be configured to stress either the networking or the computation features available on the execution platforms. The simulation stresses the networking component when the neural net - composed by a relatively low number of neurons, each one projecting thousands of synapses - is distributed over a large number of hardware cores. When growing the number of neurons per core, the computation starts to be the dominating component for short range connections. This paper reports about preliminary performance results obtained on an ARM-based HPC prototype developed in the framework of the ExaNeSt project. Furthermore, a comparison is given of instantaneous power, total energy consumption, execution time and energetic cost per synaptic event of SWA/AW DPSNN simulations when executed on either ARM- or Intel-based server platforms.

Published
2018
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30. Gaussian and exponential lateral connectivity on distributed spiking neural network simulation

Author

Pastorelli, Elena, Paolucci, Pier Stanislao, Simula, Francesco, Biagioni, Andrea, Capuani, Fabrizio, Cretaro, Paolo, De Bonis, Giulia, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Pontisso, Luca, Vicini, Piero, and Ammendola, Roberto

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Neural and Evolutionary Computing, Quantitative Biology - Neurons and Cognition
Abstract

We measured the impact of long-range exponentially decaying intra-areal lateral connectivity on the scaling and memory occupation of a distributed spiking neural network simulator compared to that of short-range Gaussian decays. While previous studies adopted short-range connectivity, recent experimental neurosciences studies are pointing out the role of longer-range intra-areal connectivity with implications on neural simulation platforms. Two-dimensional grids of cortical columns composed by up to 11 M point-like spiking neurons with spike frequency adaption were connected by up to 30 G synapses using short- and long-range connectivity models. The MPI processes composing the distributed simulator were run on up to 1024 hardware cores, hosted on a 64 nodes server platform. The hardware platform was a cluster of IBM NX360 M5 16-core compute nodes, each one containing two Intel Xeon Haswell 8-core E5-2630 v3 processors, with a clock of 2.40 G Hz, interconnected through an InfiniBand network, equipped with 4x QDR switches., Comment: 9 pages, 9 figures, added reference to final peer reviewed version on conference paper and DOI

Published
2018
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31. A mobile app for improving the compliance with remote management of patients with cardiac implantable devices: a multicenter evaluation in clinical practice

Author

Lavalle, Carlo, Magnocavallo, Michele, Bernardini, Alessia, Vetta, Giampaolo, Bianchi, Valter, Mattera, Agostino, Mariani, Marco Valerio, Ammendola, Ernesto, Busacca, Giuseppe, Piro, Agostino, Adduci, Carmen, Calò, Leonardo, Panchetti, Luca, Viani, Stefano, Rapacciuolo, Antonio, Sanna, Giampaolo, Molon, Giulio, Quartieri, Fabio, Di Rosa, Rita, Campari, Monica, Valsecchi, Sergio, and D’Onofrio, Antonio

Published
2022
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32. Performance of the NA62 trigger system

Author

Cortina Gil, E., Kleimenova, A., Minucci, E., Padolski, S., Petrov, P., Shaikhiev, A., Volpe, R., Numao, T., Petrov, Y., Velghe, B., Wong, V. W. S., Bryman, D., Fu, J., Husek, T., Jerhot, J., Kampf, K., Zamkovsky, M., Aliberti, R., Khoriauli, G., Kunze, J., Lomidze, D., Peruzzo, L., Vormstein, M., Wanke, R., Dalpiaz, P., Fiorini, M., Neri, I., Norton, A., Petrucci, F., Wahl, H., Cotta Ramusino, A., Gianoli, A., Iacopini, E., Latino, G., Lenti, M., Parenti, A., Bizzeti, A., Bucci, F., Antonelli, A., Georgiev, G., Kozhuharov, V., Lanfranchi, G., Martellotti, S., Moulson, M., Spadaro, T., Tinti, G., Ambrosino, F., Capussela, T., Corvino, M., Di Filippo, D., Fiorenza, R., Massarotti, P., Mirra, M., Napolitano, M., Saracino, G., Anzivino, G., Brizioli, F., Imbergamo, E., Lollini, R., Piandani, R., Santoni, C., Barbanera, M., Cenci, P., Checcucci, B., Lubrano, P., Lupi, M., Pepe, M., Piccini, M., Costantini, F., Di Lella, L., Doble, N., Giorgi, M., Giudici, S., Lamanna, G., Lari, E., Pedreschi, E., Sozzi, M., Cerri, C., Fantechi, R., Pontisso, L., Spinella, F., Mannelli, I., D’Agostini, G., Raggi, M., Biagioni, A., Cretaro, P., Frezza, O., Leonardi, E., Lonardo, A., Turisini, M., Valente, P., Vicini, P., Ammendola, R., Bonaiuto, V., Fucci, A., Salamon, A., Sargeni, F., Arcidiacono, R., Bloch-Devaux, B., Boretto, M., Menichetti, E., Migliore, E., Soldi, D., Biino, C., Filippi, A., Marchetto, F., Engelfried, J., Estrada-Tristan, N., Bragadireanu, A. M., Ghinescu, S. A., Hutanu, O. E., Baeva, A., Baigarashev, D., Emelyanov, D., Enik, T., Falaleev, V., Kekelidze, V., Korotkova, A., Litov, L., Madigozhin, D., Misheva, M., Molokanova, N., Movchan, S., Polenkevich, I., Potrebenikov, Yu., Shkarovskiy, S., Zinchenko, A., Fedotov, S., Gushchin, E., Khotyantsev, A., Kudenko, Y., Kurochka, V., Medvedeva, M., Mefodev, A., Kholodenko, S., Kurshetsov, V., Obraztsov, V., Ostankov, A., Semenov, V., Sugonyaev, V., Yushchenko, O., Bician, L., Blazek, T., Cerny, V., Kucerova, Z., Bernhard, J., Ceccucci, A., Danielsson, H., De Simone, N., Duval, F., Döbrich, B., Federici, L., Gamberini, E., Gatignon, L., Guida, R., Hahn, F., Holzer, E. B., Jenninger, B., Koval, M., Laycock, P., Lehmann Miotto, G., Lichard, P., Mapelli, A., Marchevski, R., Massri, K., Noy, M., Palladino, V., Perrin-Terrin, M., Pinzino, J., Ryjov, V., Schuchmann, S., Venditti, S., Bache, T., Brunetti, M. B., Duk, V., Fascianelli, V., Fry, J. R., Gonnella, F., Goudzovski, E., Henshaw, J., Iacobuzio, L., Lazzeroni, C., Lurkin, N., Newson, F., Parkinson, C., Romano, A., Sergi, A., Sturgess, A., Swallow, J., Tomczak, A., Heath, H., Page, R., Trilov, S., Angelucci, B., Britton, D., Graham, C., Protopopescu, D., Carmignani, J., Dainton, J. B., Jones, R. W. L., Ruggiero, G., Fulton, L., Hutchcroft, D., Maurice, E., Wrona, B., Conovaloff, A., Cooper, P., Coward, D., and Rubin, P.

Published
2023
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34. The ChoCO-W prospective observational global study: Does COVID-19 increase gangrenous cholecystitis?

Author

De Simone, Belinda, Abu-Zidan, Fikri M., Chouillard, Elie, Di Saverio, Salomone, Sartelli, Massimo, Podda, Mauro, Gomes, Carlos Augusto, Moore, Ernest E., Moug, Susan J., Ansaloni, Luca, Kluger, Yoram, Coccolini, Federico, Landaluce-Olavarria, Aitor, Estraviz-Mateos, Begoña, Uriguen-Etxeberria, Ana, Giordano, Alessio, Luna, Alfonso Palmieri, Amín, Luz Adriana Hernández, Hernández, Adriana María Palmieri, Shabana, Amanda, Dzulkarnaen, Zakaria Andee, Othman, Muhammad Asyraf, Sani, Mohamad Ikhwan, Balla, Andrea, Scaramuzzo, Rosa, Lepiane, Pasquale, Bottari, Andrea, Staderini, Fabio, Cianchi, Fabio, Cavallaro, Andrea, Zanghì, Antonio, Cappellani, Alessandro, Campagnacci, Roberto, Maurizi, Angela, Martinotti, Mario, Ruggieri, Annamaria, Jusoh, Asri Che, Rahman, Karim Abdul, Zulkifli, Anis Suraya M., Petronio, Barbara, Matías-García, Belén, Quiroga-Valcárcel, Ana, Mendoza-Moreno, Fernando, Atanasov, Boyko, Campanile, Fabio Cesare, Vecchioni, Ilaria, Cardinali, Luca, Travaglini, Grazia, Sebastiani, Elisa, Chooklin, Serge, Chuklin, Serhii, Cianci, Pasquale, Restini, Enrico, Capuzzolo, Sabino, Currò, Giuseppe, Filippo, Rosalinda, Rispoli, Michele, Aparicio-Sánchez, Daniel, Muñóz-Cruzado, Virginia Durán, Barbeito, Sandra Dios, Delibegovic, Samir, Kesetovic, Amar, Sasia, Diego, Borghi, Felice, Giraudo, Giorgio, Visconti, Diego, Doria, Emanuele, Santarelli, Mauro, Luppi, Davide, Bonilauri, Stefano, Grossi, Ugo, Zanus, Giacomo, Sartori, Alberto, Piatto, Giacomo, De Luca, Maurizio, Vita, Domenico, Conti, Luigi, Capelli, Patrizio, Cattaneo, Gaetano Maria, Marinis, Athanasios, Vederaki, Styliani-Aikaterini, Bayrak, Mehmet, Altıntas, Yasemin, Uzunoglu, Mustafa Yener, Demirbas, Iskender Eren, Altinel, Yuksel, Meric, Serhat, Aktimur, Yunus Emre, Uymaz, Derya Salim, Omarov, Nail, Azamat, Ibrahim, Lostoridis, Eftychios, Nagorni, Eleni-Aikaterini, Pujante, Antonio, Anania, Gabriele, Bombardini, Cristina, Bagolini, Francesco, Gonullu, Emre, Mantoglu, Baris, Capoglu, Recayi, Cappato, Stefano, Muzio, Elena, Colak, Elif, Polat, Suleyman, Koylu, Zehra Alan, Altintoprak, Fatih, Bayhan, Zülfü, Akin, Emrah, Andolfi, Enrico, Rezart, Sulce, Kim, Jae Il, Jung, Sung Won, Shin, Yong Chan, Enciu, Octavian, Toma, Elena Adelina, Medas, Fabio, Canu, Gian Luigi, Cappellacci, Federico, D’Acapito, Fabrizio, Ercolani, Giorgio, Solaini, Leonardo, Roscio, Francesco, Clerici, Federico, Gelmini, Roberta, Serra, Francesco, Rossi, Elena Giulia, Fleres, Francesco, Clarizia, Guglielmo, Spolini, Alessandro, Ferrara, Francesco, Nita, Gabriela, Sarnari, Jlenia, Gachabayov, Mahir, Abdullaev, Abakar, Poillucci, Gaetano, Palini, Gian Marco, Veneroni, Simone, Garulli, Gianluca, Piccoli, Micaela, Pattacini, Gianmaria Casoni, Pecchini, Francesca, Argenio, Giulio, Armellino, Mariano Fortunato, Brisinda, Giuseppe, Tedesco, Silvia, Fransvea, Pietro, Ietto, Giuseppe, Franchi, Caterina, Carcano, Giulio, Martines, Gennaro, Trigiante, Giuseppe, Negro, Giulia, Vega, Gustavo Machain, González, Agustín Rodríguez, Ojeda, Leonardo, Piccolo, Gaetano, Bondurri, Andrea, Maffioli, Anna, Guerci, Claudio, Sin, Boo Han, Zuhdi, Zamri, Azman, Azlanudin, Mousa, Hussam, al Bahri, Shadi, Augustin, Goran, Romic, Ivan, Moric, Trpimir, Nikolopoulos, Ioannis, Andreuccetti, Jacopo, Pignata, Giusto, D’Alessio, Rossella, Kenig, Jakub, Skorus, Urszula, Fraga, Gustavo Pereira, Hirano, Elcio Shiyoiti, de Lima Bertuol, Jackson Vinícius, Isik, Arda, Kurnaz, Eray, Asghar, Mohammad Sohail, Afzal, Ameer, Akbar, Ali, Nikolouzakis, Taxiarchis Konstantinos, Lasithiotakis, Konstantinos, Chrysos, Emmanuel, Das, Koray, Özer, Nazmi, Seker, Ahmet, Ibrahim, Mohamed, Hamid, Hytham K. S., Babiker, Ahmed, Bouliaris, Konstantinos, Koukoulis, George, Kolla, Chrysoula-Christina, Lucchi, Andrea, Agostinelli, Laura, Taddei, Antonio, Fortuna, Laura, Agostini, Carlotta, Licari, Leo, Viola, Simona, Callari, Cosimo, Laface, Letizia, Abate, Emmanuele, Casati, Massimiliano, Anastasi, Alessandro, Canonico, Giuseppe, Gabellini, Linda, Tosi, Lorenzo, Guariniello, Anna, Zanzi, Federico, Bains, Lovenish, Sydorchuk, Larysa, Iftoda, Oksana, Sydorchuk, Andrii, Malerba, Michele, Costanzo, Federico, Galleano, Raffaele, Monteleone, Michela, Costanzi, Andrea, Riva, Carlo, Walędziak, Maciej, Kwiatkowski, Andrzej, Czyżykowski, Łukasz, Major, Piotr, Strzałka, Marcin, Matyja, Maciej, Natkaniec, Michal, Valenti, Maria Rosaria, Di Vita, Maria Domenica Pia, Sotiropoulou, Maria, Kapiris, Stylianos, Massalou, Damien, Veroux, Massimiliano, Volpicelli, Alessio, Gioco, Rossella, Uccelli, Matteo, Bonaldi, Marta, Olmi, Stefano, Nardi, Matteo, Livadoti, Giada, Mesina, Cristian, Dumitrescu, Theodor Viorel, Ciorbagiu, Mihai Calin, Ammendola, Michele, Ammerata, Giorgio, Romano, Roberto, Slavchev, Mihail, Misiakos, Evangelos P., Pikoulis, Emmanouil, Papaconstantinou, Dimitrios, Elbahnasawy, Mohamed, Abdel-elsalam, Sherief, Felsenreich, Daniel M., Jedamzik, Julia, Michalopoulos, Nikolaos V., Sidiropoulos, Theodoros A., Papadoliopoulou, Maria, Cillara, Nicola, Deserra, Antonello, Cannavera, Alessandro, Negoi, Ionuţ, Schizas, Dimitrios, Syllaios, Athanasios, Vagios, Ilias, Gourgiotis, Stavros, Dai, Nick, Gurung, Rekha, Norrey, Marcus, Pesce, Antonio, Feo, Carlo Vittorio, Fabbri, Nicolo’, Machairas, Nikolaos, Dorovinis, Panagiotis, Keramida, Myrto D., Mulita, Francesk, Verras, Georgios Ioannis, Vailas, Michail, Yalkin, Omer, Iflazoglu, Nidal, Yigit, Direnc, Baraket, Oussama, Ayed, Karim, Ghalloussi, Mohamed hedi, Patias, Parmenion, Ntokos, Georgios, Rahim, Razrim, Bala, Miklosh, Kedar, Asaf, Sawyer, Robert G., Trinh, Anna, Miller, Kelsey, Sydorchuk, Ruslan, Knut, Ruslan, Plehutsa, Oleksandr, Liman, Rumeysa Kevser, Ozkan, Zeynep, Kader, Saleh Abdel, Gupta, Sanjay, Gureh, Monika, Saeidi, Sara, Aliakbarian, Mohsen, Dalili, Amin, Shoko, Tomohisa, Kojima, Mitsuaki, Nakamoto, Raira, Atici, Semra Demirli, Tuncer, Gizem Kilinc, Kaya, Tayfun, Delis, Spiros G., Rossi, Stefano, Picardi, Biagio, del Monte, Simone Rossi, Triantafyllou, Tania, Theodorou, Dimitrios, Pintar, Tadeja, Salobir, Jure, Manatakis, Dimitrios K., Tasis, Nikolaos, Acheimastos, Vasileios, Ioannidis, Orestis, Loutzidou, Lydia, Symeonidis, Savvas, de Sá, Tiago Correia, Rocha, Mónica, Guagni, Tommaso, Pantalone, Desiré, Maltinti, Gherardo, Khokha, Vladimir, Abdel-elsalam, Wafaa, Ghoneim, Basma, López-Ruiz, José Antonio, Kara, Yasin, Zainudin, Syaza, Hayati, Firdaus, Azizan, Nornazirah, Khei, Victoria Tan Phooi, Yi, Rebecca Choy Xin, Sellappan, Harivinthan, Demetrashvili, Zaza, Lekiashvili, Nika, Tvaladze, Ana, Froiio, Caterina, Bernardi, Daniele, Bonavina, Luigi, Gil-Olarte, Angeles, Grassia, Sebastiano, Romero-Vargas, Estela, Bianco, Francesco, Gumbs, Andrew A., Dogjani, Agron, Agresta, Ferdinando, Litvin, Andrey, Balogh, Zsolt J., Gendrikson, George, Martino, Costanza, Damaskos, Dimitrios, Pararas, Nikolaos, Kirkpatrick, Andrew, Kurtenkov, Mikhail, Gomes, Felipe Couto, Pisanu, Adolfo, Nardello, Oreste, Gambarini, Fabrizio, Aref, Hager, Angelis, Nicola de’, Agnoletti, Vanni, Biondi, Antonio, Vacante, Marco, Griggio, Giulia, Tutino, Roberta, Massani, Marco, Bisetto, Giovanni, Occhionorelli, Savino, Andreotti, Dario, Lacavalla, Domenico, Biffl, Walter L., and Catena, Fausto

Published
2022
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36. Effect of SAcubitril/Valsartan on left vEntricular ejection fraction and on the potential indication for Implantable Cardioverter Defibrillator in primary prevention: the SAVE-ICD study

Author

Guerra, Federico, Ammendola, Ernesto, Ziacchi, Matteo, Aspromonte, Vittorio, Pellegrino, Pier Luigi, Del Giorno, Giuseppe, Dell’Era, Gabriele, Pimpini, Lorenzo, Santoro, Francesco, Floris, Roberto, Stronati, Giulia, Nigro, Gerardo, Paolisso, Pasquale, Guido, Alessandro, Maglia, Giampiero, Brunetti, Natale Daniele, Carbone, Angelo, Gravellone, Miriam, Antonicelli, Roberto, Cannone, Michele, Accogli, Michele, Dello Russo, Antonio, and Palmisano, Pietro

Published
2021
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37. GPU-based Real-time Triggering in the NA62 Experiment

Author

Ammendola, R., Biagioni, A., Cretaro, P., Di Lorenzo, S., Fantechi, R., Fiorini, M., Frezza, O., Lamanna, G., Cicero, F. Lo, Lonardo, A., Martinelli, M., Neri, I., Paolucci, P. S., Pastorelli, E., Piandani, R., Pontisso, L., Rossetti, D., Simula, F., Sozzi, M., and Vicini, P.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

Over the last few years the GPGPU (General-Purpose computing on Graphics Processing Units) paradigm represented a remarkable development in the world of computing. Computing for High-Energy Physics is no exception: several works have demonstrated the effectiveness of the integration of GPU-based systems in high level trigger of different experiments. On the other hand the use of GPUs in the low level trigger systems, characterized by stringent real-time constraints, such as tight time budget and high throughput, poses several challenges. In this paper we focus on the low level trigger in the CERN NA62 experiment, investigating the use of real-time computing on GPUs in this synchronous system. Our approach aimed at harvesting the GPU computing power to build in real-time refined physics-related trigger primitives for the RICH detector, as the the knowledge of Cerenkov rings parameters allows to build stringent conditions for data selection at trigger level. Latencies of all components of the trigger chain have been analyzed, pointing out that networking is the most critical one. To keep the latency of data transfer task under control, we devised NaNet, an FPGA-based PCIe Network Interface Card (NIC) with GPUDirect capabilities. For the processing task, we developed specific multiple ring trigger algorithms to leverage the parallel architecture of GPUs and increase the processing throughput to keep up with the high event rate. Results obtained during the first months of 2016 NA62 run are presented and discussed.

Published
2016

38. A measurement of the K+→ π+μ+μ− decay

Author

Cortina Gil, E., Kleimenova, A., Minucci, E., Padolski, S., Petrov, P., Shaikhiev, A., Volpe, R., Numao, T., Petrov, Y., Velghe, B., Wong, V. W. S., Bryman, D., Fu, J., Husek, T., Jerhot, J., Kampf, K., Zamkovsky, M., Aliberti, R., Khoriauli, G., Kunze, J., Lomidze, D., Peruzzo, L., Vormstein, M., Wanke, R., Dalpiaz, P., Fiorini, M., Neri, I., Norton, A., Petrucci, F., Wahl, H., Cotta Ramusino, A., Gianoli, A., Iacopini, E., Latino, G., Lenti, M., Parenti, A., Bizzeti, A., Bucci, F., Antonelli, A., Georgiev, G., Kozhuharov, V., Lanfranchi, G., Martellotti, S., Moulson, M., Spadaro, T., Tinti, G., Ambrosino, F., Capussela, T., Corvino, M., Di Filippo, D., Fiorenza, R., Massarotti, P., Mirra, M., Napolitano, M., Saracino, G., Anzivino, G., Brizioli, F., Imbergamo, E., Lollini, R., Piandani, R., Santoni, C., Barbanera, M., Cenci, P., Checcucci, B., Lubrano, P., Lupi, M., Pepe, M., Piccini, M., Costantini, F., Di Lella, L., Doble, N., Giorgi, M., Giudici, S., Lamanna, G., Lari, E., Pedreschi, E., Sozzi, M., Cerri, C., Fantechi, R., Pontisso, L., Spinella, F., Mannelli, I., D’Agostini, G., Raggi, M., Biagioni, A., Cretaro, P., Frezza, O., Leonardi, E., Lonardo, A., Turisini, M., Valente, P., Vicini, P., Ammendola, R., Bonaiuto, V., Fucci, A., Salamon, A., Sargeni, F., Arcidiacono, R., Bloch-Devaux, B., Boretto, M., Menichetti, E., Migliore, E., Soldi, D., Biino, C., Filippi, A., Marchetto, F., Engelfried, J., Estrada-Tristan, N., Bragadireanu, A. M., Ghinescu, S. A., Hutanu, O. E., Baeva, A., Baigarashev, D., Emelyanov, D., Enik, T., Falaleev, V., Kekelidze, V., Korotkova, A., Litov, L., Madigozhin, D., Misheva, M., Molokanova, N., Movchan, S., Polenkevich, I., Potrebenikov, Yu., Shkarovskiy, S., Zinchenko, A., Fedotov, S., Gushchin, E., Khotyantsev, A., Kudenko, Y., Kurochka, V., Medvedeva, M., Mefodev, A., Kholodenko, S., Kurshetsov, V., Obraztsov, V., Ostankov, A., Semenov, V., Sugonyaev, V., Yushchenko, O., Bician, L., Blazek, T., Cerny, V., Kucerova, Z., Bernhard, J., Ceccucci, A., Danielsson, H., De Simone, N., Duval, F., Döbrich, B., Federici, L., Gamberini, E., Gatignon, L., Guida, R., Hahn, F., Holzer, E. B., Jenninger, B., Koval, M., Laycock, P., Lehmann Miotto, G., Lichard, P., Mapelli, A., Marchevski, R., Massri, K., Noy, M., Palladino, V., Perrin-Terrin, M., Pinzino, J., Ryjov, V., Schuchmann, S., Venditti, S., Bache, T., Brunetti, M. B., Duk, V., Fascianelli, V., Fry, J. R., Gonnella, F., Goudzovski, E., Henshaw, J., Iacobuzio, L., Lazzeroni, C., Lurkin, N., Newson, F., Parkinson, C., Romano, A., Sergi, A., Sturgess, A., Swallow, J., Tomczak, A., Heath, H., Page, R., Trilov, S., Angelucci, B., Britton, D., Graham, C., Protopopescu, D., Carmignani, J., Dainton, J. B., Jones, R. W. L., Ruggiero, G., Fulton, L., Hutchcroft, D., Maurice, E., Wrona, B., Conovaloff, A., Cooper, P., Coward, D., and Rubin, P.

Published
2022
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39. 30-day Morbidity and Mortality After Cholecystectomy for Benign Gallbladder Disease (AMBROSE)

Author

Wong, Geoffrey Yuet Mun, Wadhawan, Himanshu, Roth Cardoso, Victor, Bravo Merodio, Laura, Rajeev, Yashasvi, Maldonado, Ricardo David, Martinino, Alessandro, Balasubaramaniam, Vignesh, Ashraf, Aabid, Siddiqui, Adeela, Al-Shkirat, Ahmad Ghassan, Mohammed Abu-Elfatth, Ahmed, Gupta, Ajay, Alkaseek, Akram, Ouyahia, Amel, Said, Amira, Pandey, Anshuman, Kumar, Ashwani, Maqbool, Baila, Millán, Carlos Alberto, Singh, Cheena, Pantoja Pachajoa, Diana Alejandra, Adamovich, Dmitry Mikhailovich, Petracchi, Enrique, Ashraf, Fariha, Clementi, Marco, Mulita, Francesk, Marom, Gad Amram, Abdulaal, Gamaleldeen, Verras, Georgios-Ioannis, Calini, Giacomo, Moretto, Gianluigi, Elfeki, Hossam, Liang, Hui, Jalaawiy, Humam, Elzayat, Ibrahim, Das, Jayanta Kumar, Aceves-Ayala, Jose Miguel, Ahmed, Kazi T., Degrate, Luca, Aggarwal, Manisha, Omar, Mohammed Ahmed, Rais, Mounira, Elhadi, Muhammed, Sakran, Nasser, Bhojwani, Rajesh, Agarwalla, Ramesh, Kanaan, Samir, Erdene, Sarnai, Chooklin, Serge, Khuroo, Suhail, Dawani, Surrendar, Asghar, Syed Tanseer, Fung, Tak Kwan James, Omarov, Taryel, Grigorean, Valentin Titus, Boras, Zdenko, Gkoutos, Georgios V., Singhal, Rishi, Mahawar, Kamal, Group:, TUGSS Multinational Audit Steering, Madhok, Brij, Graham, Yitka, Donohoe, Claire, Reira, Manel, Wadhawan, Himanshu, Vish, YKS, Jain, Rajesh, Elhadi, Muhammed, Popat, Sunil, Boddy, Alex, Jain, Vikas, Singhal, Rishi, Mahawar, Kamal, Coordinators:, TUGSS Multinational Audit Study, Martinino, Alessandro, Said, Amira, Marques, Cláudia Neves, Wazir, Ishaan, Pereira, Juan Pablo Scarano, Abouelazayem, Mohamed, Viswanath, Nakul, Sarodaya, Varun, Bala, Vignesh, Coordinators:, TUGSS Multinational Audit National, Homayoon, Roshan, Dogjani, Agron, Tidjane, Anisse, Antozzi, Luciano, Hong, Joshua, Omarov, Taryel, Dash, Anuj Kanti, Chokshi, Aishwarya, Wietzycoski, Cacio Ricardo, Petkov, Plamen, Mbonicura, Jean Claude, Yang, Wah, Zuluaga, Mauricio, Kraljik, Darko, Lincango Naranjo, Eddy P., Elghadban, Hosam Mohamed, Diaz, Angel, Gerogiannis, Ioannis, Mohammed, Adnan, Lazaros, Lazarou, Mulita, Francesk, Bhasker, Aparna Govil, Kermansaravi, Mohammad, Mahdi, Ahmed Salah, Kayyal, Mohd Yasser, Sakran, Nasser, Frattini, Francesco, Alabdallah, Nadeem Bilal, Sylvester, Kimutai Ronoh, Abdelhamid, Ibrahim, EL Fawal, Mohamad Hayssam, Allawgalli, Aiman Nuri, Dulskas, Audrius, Voon, Kelvin, Caruana, Clifford, Ballesteros, Guillermo Ponce De Leon, Erdene, Sarnai, Ouadii, Mouaqit, Nashidengo, Pueya Abdulrashid, Hazebroek, Eric, Gunawardene, Ashok, Adeyeye, Ademola, Shariff, Amir H., Liakopulos, Nicolas Juan, Toro-Huamanchumo, Carlos J., Waledziak, Maciej, Borges, Nuno, Shabbir, Azhar, Negoi, Ionut, Neimark, Aleksandr, Abouleid, Ayman, Kim, Guowei, Košir, Jurij Aleš, Ruiz Úcar, Elena, Hamid, Hytham K. S., Masri, Ruqaya, Ozmen, Mahir, Taha, Safwan, Goodman, Elliot, AL-Naggar, Hamza, Authors:, AMBROSE Audit Collaborative, Ghouali, Amin Khayreddine, Wafa, Benbrahmin, Allel, Sahli, Elkacem, Bouzenita Mohamed, Ibagherache, Razika, Ouyahia, Amel, Rais, Mounira, Seddik, El Hachemi, Kouicem, Aya Tinhinane, Abdoun, Meriem, Bouaoud, Souad, Boucenak, Kamel, Khalfa, Safia, Brahim, Bouflih, Tidjane, Anisse, Tabeti, Benali, Meharzi, Sif-El-Islem, Larbi, Hakim, Derdous, Reda, Abderaouf, Bettahar, Bouregba, Nadjette, Boukaaabeche, Fouad, Djeroua, Kamel, Sabrin, Naît Ali, Khennaf, Leila, Mesli, Smain Nabil, Ghouali, Amin Khayreddine, Aissat, Abdelnour, Pantoja Pachajoa, Diana Alejandra, Alvarez, Fernando Andrés, Milagros, Nicole Benitez, Medrano Ortiz Palombarini, Valentina Cecilia, Petracchi, Enrique, Quesada, Matias, Canullan, Carlos, Varela, Jose, Posada, Hector, Du Plessis, Cristina, Valenzuela, José Ignacio, Zurita, Melissa Andrea Fernandez, Nasim, Sana, Bowles, Thomas Alexander, Yeboah, Edward, Nair, Roshan, Felsenreich, Daniel Moritz, Omarov, Taryel, Allahverdiyeva, Nigar, Abizade, Rashad, Adamovich, Dmitry Mikhailovich, Barreiro, Thiago Alvim, Cunha, Hercio Azevedo de Vasconcelos, Castilho, Michel Victor, Ferreira, Rafael Meneguzzi Alves, Legati Junior, Ronaldo, Dias, Lorenzo, Wietzycoski, Cacio, Jacobi, Everton Walter, Julianov, Alexander, Saroglu, Azize, Yuruk, Shaban, Dimov, Rosen, Ivanov, Valentin, Dardanov, Dragomir, Yang, Wah, Wei, Zhuoqi, Liang, Hui, Millán, Carlos A., Urbina, Mónica, Cubieros, Jorge, Acosta, Shary, Jiménez, Julián, Boras, Zdenko, Vlahović, Ivan, Koronakis, Nikolaos, González, Ricardo Andrés Buenaño, Ojeda, Cintya Anabel Llerena, Aspiazu-Briones, Cristhian Gonzalo, Martinez-Espinoza, Dario Javier, Rivas-Torres, Eduardo Antonio, Lincango Naranjo, Eddy P., Aldabash, Lama, Shaat, Iman, Alsayed, Mohamed Moneer Abulfotooh, Bali, Eslam, Ayoub, Mohamed Abdel Maksoud, Mohamed, Mohamed, AL Sayed, Mohamed, Elshinnawy, Azza Mohamed Gaber, Tayiawi, Mosaab, Abu-Elfatth, Ahmed Mohammed, Mohamed, Ahmed Emadelden, Elzayat, Ibrahim, Hassan, Ahmed Abdelmotaleb Mohamed, Madany, Mohie El-Din Mostafa, EL-Kassas, Mohamed, Omar, Wael, Tawheed, Ahmed, Elfeki, Hossam, Shalaby, Mostafa, Sakr, Ahmad, Elghrieb, Ahmed Ezzat, Warda, Hisham Hazem, Sadek, Mirna, Mostafa, Mohamed, Elghadban, Hosam, Awad, Selmy, Madany, Mohie El-Din Mostafa, Maghraby, Ahmed Mostafa, Saleem, Abd-El-Aal Ali, Mahmoud, Ahmed Gaber, Madany, Mohie El-Din Mostafa, Maghraby, Ahmed Mostafa, Saleem, Abd-El-Aal Ali, Mahmoud, Ahmed Gaber, Gebril, Mahmoud, Omar, Mohammed Ahmed, Safy, Ahmed Mohamed, Saada, Ahmed, Mohamed Ads, Alaa, Diaz, Angel, Gutiérrez, Emmanuel, Salinas, Hanton, Zimmermann, Perrine, Rhaiem, Rami, Kianmanesh, Reza, Efthymiou, Evripidis, Konstantinidis, Sergios, Drogouti, Maria, Katsourakis, Anastasios, Papadoliopoulou, Maria, Michalopoulos, Nikolaos V., Sidiropoulos, Theodoros A., Kokoropoulos, Panagiotis, Ioannidis, Argyrios, Konstantinidis, Michael, Charalampakis, Vasileios, Sotiropoulou, Maria, Pantelis, Athanasios G., Kapiris, Stylianos, Tsiampas, Ioannis, Tseliou, Vasiliki, Paspala, Anna, Nastos, Constantinos, Ioannidis, Orestis, Symeonidis, Savvas, Anestiadou, Elissavet, Zapsalis, Konstantinos, Machairas, Nikolaos, Keramida, Myrto D., Dorovinis, Panagiotis, Kyakalos, Stylianos, Stavratis, Fotios, Papadopoulos, Aristeidis, Manioti, Eleni, Mouzakis, Odysseas, Nikolaou, Vassiliki, Barkolias, Evangelos, Mulita, Francesk, Verras, Georgios-Ioannis, Vasileios, Mousafeiris, Triantafyllou, Alexandra, Triantafyllou, Tania, Matthaiou, Georgia, Frountzas, Maximos, Toutouzas, Konstantinos G., Tampaki, Ekaterini Christina, Bellou, Olga, Papazacharias, Christos, Moris, Dimitrios, Felekouras, Evangelos, Stamou, Konstantinos, Tsiotos, Gregory, Fanidou, Domna, Drakos, Panagiotis Alexandros, Schizas, Dimitrios, Syllaios, Athanasios, Vailas, Michail, Georgiadou, Despoina, Zampitis, Nikolaos, Marinis, Athanasios, Stefou, Fotini, Melachroinopoulos, Nikolaos, Papaconstantinou, Dimitrios, Dellaportas, Dionysios, Lykoudis, Panagis, Lasithiotakis, Konstantinos, Magouliotis, Dimitrios, Zacharoulis, Dimitris, Laliotis, Aggelos, Gkionis, Ioannis, Baksi, Aditya, Lodha, Mahendra, Kaur, Supreet, Guha, Shanto Shila, Gupta, Amit, Rajput, Deepak, Sharma, Oshin, Huda, Farhanul, Hassan, Mohsin, Singh, Sudhir Kumar, Basu, Somprakas, Kumar, Navin, Mallik, Dhiraj, David, Lena Elizabath, Agrawal, Aditi, Pillai, Vinod G., Muralee, Meera, Haque, Parvez David, Veetil, Sreejith Kannumal, Mahajan, Amit, Jain, Deepak, Annareddy, Dinakar Reddy, Bahadur, Akshay, Bisht, Shankar Dutt, Kashmira, Mayank, Shukla, Ashish, Pandey, Anshuman, Sarda, Hitesh, Agarwalla, Ramesh, Kumar, Ashwani, Aggarwal, Manisha, Sharma, Akanksha, Paras, Alagarsamy, Raghuraman, Chokkalingam, Gangalakshmi, Bhalla, Bhavneet Singh, Ahamad, Mohammad Nafees, Ahmad, Nabeel, Oommen, Ashok Ninan, Subbarayan, Shankar, Mohan, Karthikeyan, Ashraf, Aabid, Singh, Cheena, Jaswal, Kamaljeet S., Minhas, S. S., Bains, Lovenish, Lal, Pawanindra, Das, Jayanta K., Rangad, Gordon M., Lepcha, Alfred, Kynjing, Hampher, Islam, Md Samsul, Shangpliang, Virginia, Thota, Anuroop, Pinnamraju, Karthikeya, Surapaneni, Sushama, Gurram, Ram Prakash, Reddy, Mandapati Mallikarjuna, Inteti, Kamalesh, Srikanth, V., Reddy, V. Jayapala, Parikh, Chirag, Shah, Shakshi, Chaudhary, Priya, Bhojwani, Rajesh, Gupt, Pranoy, Srimal, Ankur, Sharma, Abadhesh, Tayal, Nikhil, Ramu, Gopi, Paul, Ratnadeep, Khuroo, Suhail, Wani, Ajaz, Gusani, Rajat, Gupta, Rahul, Khanduri, Archana, Singh, Arvind, Singh, Sudhir, Pokharia, Pradip, Sharma, Ankur, Venkatappa, Sunil Kumar, Soni, Vishal, Suprapto, Bambang, Tobroni, Ahmad, Kermansaravi, Mohammad, Mousavimaleki, Ali, Eghbali, Foolad, Eghbali, Foodlad, Mashkouri, Nazanin, Jasim, Ali, Kadhim, Nammer, Jalaawiy, Humam, Sakran, Nasser, Haj, Bassel, Asadi, Ahmad, Marom, Gad Amram, Szydlo, Gabriel Shein, Demma, Jonathan Abraham, Pikarasy, Alon J., Targa, Simone, Buzzi, Gianluca, Sanna, Andrea, Currò, Giuseppe, Ammendola, Michele, Palomba, Giuseppe, Aprea, Giovanni, Capuano, Marianna, Basile, Raffaele, Argenio, Giulio, Annecchiarico, Mario, Ferraro, Daniele, Cacciatore, Chiara, Vennarecci, Giovanni, Granieri, Stefano, Bonomi, Alessandro, Frontali, Alice, Cotsoglou, Christian, Centonze, Danilo, Licciardello, Alessio, Martines, Gennaro, Tomasicchio, Giovanni, Veroux, Massimiliano, Gioco, Rossella, Distefano, Costanza, calabrò, Marcello, Caputo, Damiano, LA Vaccara, Vincenzo, Cammarata, Roberto, Farolfi, Tommaso, Degrate, Luca, adjei antwi, Stella Konadu, Brisinda, Giuseppe, Fico, Valeria, Mirco, Paolo, Biondi, Alberto, Persiani, Roberto, Giovinazzo, Francesco, Frongillo, Francesco, Evola, Giuseppe, Ferrara, Francesco, Altomare, Michele, Benuzzi, Laura, Pezzoli, Isabella, Borghi, Alessandra, Cimbanassi, Stefania, Dapri, Giovanni, Nessi, Chiara, Bianco, Federica, Uccelli, Fara Margherita Letizia, Viganò, Luca, Cordaro, Giuseppe, Dionigi, Gianlorenzo, Pino, Antonella, Morezzi, Daniele, Rizzo, Roberta, Convertini, Girolamo, Vallicelli, Carlo, Catena, Fausto, Verdi, Daunia, Mondi, Isabella, Da Lio, Corrado, Loss, Greta, D'acapito, Fabrizio, Di Pietrantonio, Daniela, Tauceri, Francesca, Ercolani, Giorgio, Bottino, Vincenzo, Bosco, Alfonso, Canfora, Alfonso, Chiappetta, Sonja, Frattini, Francesco, Rizzi, Andrea, Breda, Marta, Quaglino, Francesco, Festa, Federico, Savasta, Francesca Maria Chiara, Fiore, Alessia, Soncini, Stefania, Giordano, Alessio, Carganico, Giacomo, Cocchi, Lorenzo, Epis, Lorenzo, Moretto, Gianluigi, Casaril, Andrea, Inama, Marco, Harmony, Impellizzeri, Michail, Creciun, Alessandro, Vitali, Piazza, Martina, Basile, Guido, Pinotti, Enrico, Lapolla, Pierfrancesco, Mingoli, Andrea, Brachini, Gioia, Cirillo, Bruno, Campanelli, Michela, Gentileschi, Paolo, Rossi, Stefano, Picardi, Biagio, Savia, Eleonora, Olmi, Stefano, Uccelli, Matteo, Balla, Andrea, Lepiane, Pasquale, Saraceno, Federica, Coppola, Alessandro, Clementi, Marco, Paniccia, Federico, Grasso, Antonella, Tartaglia, Nicola, Pavone, Giovanna, Ambrosi, Antonio, Angelico, Roberta, Manzia, Tommaso Maria, Materazzo, Marco, Tisone, Giuseppe, Calini, Giacomo, Bresadola, Vittorio, Morinelli, Vittoria, Matucci-Cerinic, Pietro, Michelutti, Luca, Luzzi, Andrea-Pierre, Romairone, Emanuele, Carrabetta, Salvatore, Marzorati, Sara, Khamees, Almu'atasim, Mohammad, Alyaman Meizer, Alananzeh, Samah, AL Momani, Salam, Hijazin, Nadeen, Tarawneh, Shahd Abdulhadi, Alheji, Hazim, Alhajji, Amer, AL-Shkirat, Ahmad Ghassan, Alzoubi, Mohammad N., AL Manasra, Abdel Rahman Abdullah, Elayyan, Rasheed, Jamous, Hussam, Dardour, Mohammad, Mahafdah, Mahmoud Rawhi, AL Hammoud, Amr Ahmad, AL Quran, Mahmoud, Bosire, Friday, Zakaria, Ramy Magdy, Abdullah, Hawraa Reda, Tarboush, Abdullah, Hasan, Wisam Abraheem, Kredan, Ali Abdulnasir, Zreeg, Dafer, Muftah, Aiman, Koshlaf, Abdulmajeed, Albadi, Doaa, Abunaaja, Hayat Omar, Otman, Rema, Ben Hamida, Bahaeddin, Amnaina, Mohamed Gamal, Alhaddad, Hayfa Faraj, Shuaip, Nouran Musbah, Buderbala, Yasmeen, Hamad, Ahmad Faraj, Shames, Haitam, Bakeer, Hiba Bileid, Alkaseek, Akram, Shalabi, Laila Esnoussi, Alhadi, Aliya Salih, Ahjaaz, Mabroukah A. A., Zgheel, Usama, Abdulmoula, Zenab, Younis, Hoda, Aboubeirah, Mohammed Khayri, Binnawara, Muhannud Hassan, Arebi, Jaber Abdusslam, Alboueishi, Asraa Ali, Mohammed Ammar, Sara, Abdedalmajed Rhuma, Heba, Alsori Alharari, Mohamed, Endisha, Salahaldin Emhemmed, Ng, Chin E'ng, Lee, Yu Wei, Tay, Yen Zhir, Abdul Manan, Nurhidayah, Tajul Arifin, Mohd Syazwan, Khairul Anuar, Ariff Solihin, Kumar, Neeraj, Maiyauen, Thanesh Kumar, Zakari, Andee Dzulkarnaen, Fathi, Mohd Azem, Izhar, Mas Izzati, Awang Dahlan, Dayang Azzyati, Mokhtar, Suryati, Samsudin, Syakirah, Jaktaram Singh, Balraj Singh, Arumugam, Mohanasundram Pillai, Theevashini, Krishnasamy, Manap, Shaiful Amir, Yong, Chon Woon, Mohamed Nabil, Mohamed Nazri, Lim, Jolene Sze Huey, Voon, Kelvin, Cheng, Shi Yu, Amanullah, Muhammad Mubarak, Ahmed, Nurzarina, Lim, I. Vern, Mazlan, Mohd Rashid, Sivananthan, Asokumar, Yussra, Yusoff, Puvisny, Shanmugam Nathan, Chua, Ian Bin, Sharman, Matthew, Siow, Sze Li, Axiak, Jessica, Dowling, Jessica, Portelli, Mark, Caruana, Clifford, Beristain-Hernandez, Jose-Luis, Vazquez-Romero, Odette-Desiree, Jaime-Silva, Jessica, Cadena-Guzman, Joaquin-Homar, Aceves-Ayala, Jose Miguel, Treviño -Meza, Jasmin Marielena, Erik, Efrain-Sosa-Duran, Guzman-Águilar, Rafael, María, Zuñiga, Jose Edusrdo, Pinto Angulo, Victor Manuel, Trejo-Avila, Mario, Bozada-Gutierrez, Katya, Carrion, Christian, Gómez-Herrera, María Norma, García-Gómez, Aurora, Pimentel Melendez, Samuel Arnulfo, Bautista Martinez, Abelardo Olaf, Nuñez DE LA Rosa, Sofia, Inchaustegui Tinajero, Jose, Sordo Lima, Diego Ervey, Pérez-Soto, Rafael Humberto, Hernández-Acevedo, Juan David, Domínguez-Rosado, Ismael, Mercado-Díaz, Miguel Ángel, Sierra-Salazar, Mauricio, Pimienta, Ana, Erdene, Sarnai, Sandag, Erdene, Orgoi, Sergelen, Ochir, Chimedsuren, Batmunkh, Munkhbat, Ouazzani, Et-tayab, EL Fdili, Mostafa, Hassani Ibn Majdoub, Karim, Mazaz, Khalid, Errachidy, Meriem, Mekondjo Nashidengo, Pueya, William Quayson, Francis, Tabiri Abebrese, John, Sushmita Seibes, Sharifa, Tjipetekera, Rejoice, Lim, Yukai, Haimona, Mairarangi, Mcclean, Sophie F., Rodriguez, Shaymar Eddylena Gutierrez Rodriguez, Lopez, Acris Arnoldo Arauz Lopez, Adetoyese Adeyeye, Ademola, Nwabuoku, Emeka Stanley, Mohammed Bello, Usman, Musa Umar, Bashir, Makama, Jerry Godfrey, Aminu, Bashir, Oriakhi, Steve-nation Nehiweze, Mosanya, Arinzechukwu Obi, Omon, Henry Ehidiamen, Wuraola, Funmilola Olanike, Ishola, Adegoke, Ulasi, Ikechukwu, Irowa, Omorodion O., Agbonrofo, Peter I., Irmiya, Solomon, Ammar, Ahmed Siddique, Khattak, Shehrbano, Qureshi, Sajid, Bashir, Nida Wahid, Jalal, Hira, Kamran, Ali, Sultan, Rizwan, Fatima, Mishal, Ali, Muhammad, Farooq, Omama, Khan, Muhammad Taha Junaid, Soomro, Umar, Saleem, Amna, Khawaja, Uzzam Ahmed, Martins, Russell Seth, Dawani, Surrendar, Siddiqui, Adeela, Khan, Madiha Masood, Jafferi, Salman, Faizi, Tashaba Qaiser, Talib, Vikash, Ali, Danish, Javed, Mahad Hassan, Rasheed, M. Ahsan, Mughal, Javeed, Ijaz, Nadeem, Rehman, Imtiaz ur, Aurangzeb, Mahmud, Ahmed, Nisar, Jan, Zaka Ullah, Khan, Shahzeb, Aziz, Sarmad Saeed, Shamim Afridi, Shehzadi Ghazala, Maroof, Syed Asad, Khan, Muhammad Imaran, Zarin, Muhammad, Naz, Farah, Jan, Zakaullah, Asghar, Syed Tanseer, Ali, Sana, Azam, Saim, Jalil, Hira, Naqvi, Hasham, Ashraf, Fariha, Siddiqui, Tayyab, Murataza, Ghulam, Bari, Hassaan, Ahmed, Hassan, Jayyab, Mustafa Abu, AL-Dahdouh, Mosheer, Echeverria, R. Rainer, Mendoza, Mario Ynoue, Kisielewski, Michal, Stefura, Tomasz, Richter, Karolina, Klos, Nikola, Walędziak, Maciej, Bartosiak, Katarzyna, Komorowska, Katarzyna, Silvestre, Miguel Trigo, Santos, Cláudia, Gil, Isabela, Cardoso, Vasco Silva, Melo, Miguel Rocha, Lima, Rita, Bolota, Joana, Cotovio, Manuel, Grigorean, Valentin Titus, Stoian, Alexandru Rares, Diana Andreea, Draghici, Toma, Elena A., Lunca, Sorinel, Zarnescu, Narcis, Costea, Radu Virgil, Litvin, Andrey, Aljohani, Emad, Zaid, AbdelNasser, Shaar, Khalid, Awaf, Khalid, Zakarneh, Eman, Alowayrdi, Tumadher, Alyami, Fatimah, Alamer, Adam, Taha, Mohamed Y., Chowdhury, Sharfuddin, Alshahrani, Salem, Panyko, Arpád, Košir, Jurij Aleš, Grosek, Jan, Tomažič, Aleš, Pintar, Tadeja, Ruiz Úcar, Elena, Castro, Ernest, Sambrano, David, Garcia-Dominguez, Rafael, Tusa, Claudio, Landaluce-Olavarria, Aitor, Estraviz-Mateos, Begoña, González, Jaime, Roca, Begoña, Jayarajah, Umesh, Subasinghe, Duminda, Sivaganesh, Sivasuriya, Hamid, Hytham K. S., Galal-Eldin, Sami, Eldirdiri, Sami, Elnour, Moheyaldien, Asaad, Nada, Mohammed, Musab, Hassan, Luden Saifaldawla, Mohamed, Khalid Osman, Abdelrahman, Salma Ahmed, Alsadeg, Hajer, Ali, Ahmed Altigani Elhadi, Elsiddig Musa, Reem Abdalla, Sarih, Monira, Ismail, Samir, Ahmed, Omer Albasher Almaki, Taj Eldeen, Samaher Taj Eldeen Hassan, Elsiddig, Kamal Elzaki, Elhasan, Mohamed Elghazali Ahmed Basheer, Karamelghani, Mohammed A. F., Mohammed, Ozaz, Adam, Albushra Altayeb, Barakat, Habab Osman, Elhadi, Rawan Elnoman, Alnaji, Abdallh Abdalmajid, Mohamed, Esraa Hamza Abdel Ghani, AL Houri, Hasan, Alhouri, Ahmad, Soliman, Alnour Khmeis, AL Ahmad, Mohamad, Kayali, Ahmad Amir, Nasani, Mohannad, Nerabani, Yaman, Ashkar, Eman, Sawas, Mohamad Nabhan, Aldirani, Alaa N., Zahreddin, Amnah, Alasmar, Ammar M., Hasan, Lilav, Alhosen, Mohammed Alahmed, Klib, Mohamad, Rahman Hammadieh, Abdul, Chikh Salem, Mhd Tarek, Ghandour, Munir, Sara, Samer, Kara Tahhan, Nour, Albani, Nour, Alsaid, Bayan, Ahmad, Basel, Almaydaani, Mohamad, Abbas, Morhaf, Nanaa, Mohamad, Aloulou, Mohammad, Kudra Danial, Aghyad, Khaled, Ahmad, Latouf, Rama, Saeed, Diyala, Ghazal, Ahmad, Masri, Ruqaya, Hamdan, Ola, Ayoub, Kusay, Kadoura, Lama, Atli, Abd Alazeez, Zayat, Hussein, Niazi, Ammar, Dabbit, Abdallah, Dahrouj, Wissam, Alhaj, Ahmad, Dabbagh, Ezeddin, Aldaher, Mohammad, Bsata, Adel, Shahrour, Mohamad Zaher, Khusruf, M. Akram, Wali, Tayssier, Aldroubi, Mohammad Tayeb, Almoshantaf, Mohammad Badr, Alahmad, Mohammad Abdullah, Leen, Jamil, AL-Nokta, Aya, Bakri, Ashraf, Arnaout, Ahmad Yamen, Ibrahim, Hamza, Nastah, Samer, Kanaan, Samir, Rasheed, Omeed, Mohammad, Alttaher, Bokal, Zied, Gafsi, Besma, Baccar, Marwen, AMMAR, Houssem, Ermis, Ilker, Tokocin, Merve, Kabuli, Hamit Ahmet, Tokocin, Onur, Ergenç, Muhammer, Gülşen, Taygun, Erginöz, Ergin, Uludağ, Server Sezgin, Bozkir, Haktan Övül, Zengin, Kağan, Özçelik, Mehmet Faik, Zarbaliyev, Elbrus, Çağlikülekçi, Mehmet, Böler, Deniz, Aktokmakyan, Talar Vartanoglu, Peksen, Caghan, Savas, Osman Anil, Sumer, Aziz, Guldogan, Cem Emir, Ozmen, Mahir, Kaplan, Mehmet, Colak, Elif, Şanli, Ahmet Necati, Kilani, Ayoub Ibrahim, Kamer, Erdinc, Namdaroglu, Ozan, Ahmed, Fuad, Marzouk, Ahmed, Harbinson, Daniel, Abdulrahman, Hassal, Ali, Heba, Abousamra, Mohamed, Di Maggio, Francesco, Abushawaly, Amr, Badawi, Marwa, Rahman, Atiqur, Jenner, Deborah, Said, Amira, Ahmed, Kazi, Watali, Yawar, Soggiu, Fiammetta, Sheth, Hemant, Drymousis, Panagiotis, Caterson, Jessica, Mehmood, Saqib, Wadhawan, Himanshu, Strachan, David, Mcelroy, Luke, Chauhan, Munish, Morgan, Richard, Mamun, Muhammad, Tora, Mir, Shamali, Awad, ML Williamson, James, Slim, Naim, Mark, Safiya, Huppler, Lucy, Crane, Sophie, Mcgrath, Polly, Fung, James Tak Kwan, Kok, Siu Yan, Bond-Smith, Giles, Dawani, Aruna, Shamardal, Aliaa, Ahmed, Mohammed M. Madi, Obasi, Chekwas, Gala, Tanzeela, Elshaer, Ahmed Mohammed, Warner, Sian, Nathadwarawala, Pooja, Askari, Alan, Pandanaboyana, Sanjay, Thakkar, Rohan, Barbour, Fraser, Finch, Jonathan Guy, Habib, Helai, Ansong, Eric, Attard, Joseph, Aujayeb, Avinash, Gupta, Ajay, Fale, Madeleine, Gupta, Anuj, Gajdhar, Aniq, Fareed, Khaleel, Elfeky, Mohamed Abdelfattah, Ashry, Mohamed, Kaur, Mandeep, Faycal Mirghani, Shaza, Tanveer, Yousaf, Albendary, Mohamed, Bhattacharya, Pratik, Abdulaal, Gamaleldeen, Ghufran, Muhammad Ali, Ghanem, Ahmed, Leong, Darren, Mamidanna, Ravikrishna, Aamery, Amaar, Tewari, Nilanjana, Williams, Greg, Tariq, Hamza, Klair, Anjeevan Kaur, Jones, Katie, Selvachandran, Haran, Day, Arthur, Ajmani, Adesh, Parmar, Chetan, Bosch, Karen, Young, Richard, Chan, Alvina, Silva, Yashodha, Kureci, Abdulrahman, Paranyak, Mykola, Shepetko-Dombrovskii, Oleksii, Chooklin, Serge, Chuklin, Serhii, Dutka, Yaromyr, Maqbool, Baila, Gill, Ali Abdullah, Jan, Azalea, Murali, Tharani, Alhajami, Faris, Atiah, Nora, Nadeesh, Areej, and Almaqdi, Sarah

Published
2025
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41. Impact of exponential long range and Gaussian short range lateral connectivity on the distributed simulation of neural networks including up to 30 billion synapses

Author

Pastorelli, Elena, Paolucci, Pier Stanislao, Ammendola, Roberto, Biagioni, Andrea, Frezza, Ottorino, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Simula, Francesco, and Vicini, Piero

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Quantitative Biology - Neurons and Cognition, C.2.4, C.1.4
Abstract

Recent experimental neuroscience studies are pointing out the role of long-range intra-areal connectivity that can be modeled by a distance dependent exponential decay of the synaptic probability distribution. This short report provides a preliminary measure of the impact of exponentially decaying lateral connectivity compared to that of shorter-range Gaussian decays on the scaling behaviour and memory occupation of a distributed spiking neural network simulator (DPSNN). Two-dimensional grids of cortical columns composed by point-like spiking neurons have been connected by up to 30 billion synapses using exponential and Gaussian connectivity models. Up to 1024 hardware cores, hosted on a 64 nodes server platform, executed the MPI processes composing the distributed simulator. The hardware platform was a cluster of IBM NX360 M5 16-core compute nodes, each one containing two Intel Xeon Haswell 8-core E5-2630 v3 processors, with a clock of 2.40GHz, interconnected through an InfiniBand network. This study is conducted in the framework of the CORTICONIC FET project, also in view of the next -to-start activities foreseen as part of the Human Brain Project (HBP), SubProject 3 Cognitive and Systems Neuroscience, WaveScalES work-package., Comment: 6 pages, 4 figures, 1 table

Published
2015

42. Scaling to 1024 software processes and hardware cores of the distributed simulation of a spiking neural network including up to 20G synapses

Author

Pastorelli, Elena, Paolucci, Pier Stanislao, Ammendola, Roberto, Biagioni, Andrea, Frezza, Ottorino, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Simula, Francesco, and Vicini, Piero

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Quantitative Biology - Neurons and Cognition, C.2.4, C.1.4
Abstract

This short report describes the scaling, up to 1024 software processes and hardware cores, of a distributed simulator of plastic spiking neural networks. A previous report demonstrated good scalability of the simulator up to 128 processes. Herein we extend the speed-up measurements and strong and weak scaling analysis of the simulator to the range between 1 and 1024 software processes and hardware cores. We simulated two-dimensional grids of cortical columns including up to ~20G synapses connecting ~11M neurons. The neural network was distributed over a set of MPI processes and the simulations were run on a server platform composed of up to 64 dual-socket nodes, each socket equipped with Intel Haswell E5-2630 v3 processors (8 cores @ 2.4 GHz clock). All nodes are interconned through an InfiniBand network. The DPSNN simulator has been developed by INFN in the framework of EURETILE and CORTICONIC European FET Project and will be used by the WaveScalEW tem in the framework of the Human Brain Project (HBP), SubProject 2 - Cognitive and Systems Neuroscience. This report lays the groundwork for a more thorough comparison with the neural simulation tool NEST., Comment: 6 pages, 4 figures, 1 table

Published
2015

43. Power, Energy and Speed of Embedded and Server Multi-Cores applied to Distributed Simulation of Spiking Neural Networks: ARM in NVIDIA Tegra vs Intel Xeon quad-cores

Author

Paolucci, Pier Stanislao, Ammendola, Roberto, Biagioni, Andrea, Frezza, Ottorino, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Pastorelli, Elena, Simula, Francesco, and Vicini, Piero

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Quantitative Biology - Neurons and Cognition, C.2.4, C.1.4
Abstract

This short note regards a comparison of instantaneous power, total energy consumption, execution time and energetic cost per synaptic event of a spiking neural network simulator (DPSNN-STDP) distributed on MPI processes when executed either on an embedded platform (based on a dual socket quad-core ARM platform) or a server platform (INTEL-based quad-core dual socket platform). We also compare the measure with those reported by leading custom and semi-custom designs: TrueNorth and SpiNNaker. In summary, we observed that: 1- we spent 2.2 micro-Joule per simulated event on the "embedded platform", approx. 4.4 times lower than what was spent by the "server platform"; 2- the instantaneous power consumption of the "embedded platform" was 14.4 times better than the "server" one; 3- the server platform is a factor 3.3 faster. The "embedded platform" is made of NVIDIA Jetson TK1 boards, interconnected by Ethernet, each mounting a Tegra K1 chip including a quad-core ARM Cortex-A15 at 2.3GHz. The "server platform" is based on dual-socket quad-core Intel Xeon CPUs (E5620 at 2.4GHz). The measures were obtained with the DPSNN-STDP simulator (Distributed Simulator of Polychronous Spiking Neural Network with synaptic Spike Timing Dependent Plasticity) developed by INFN, that already proved its efficient scalability and execution speed-up on hundreds of similar "server" cores and MPI processes, applied to neural nets composed of several billions of synapses., Comment: 4 pages, 1 table

Published
2015

45. Das Pflichtexemplar in Nordrhein-Westfalen.

Author

Albrink, Veronica, Ammendola, Andrea, Herkenhoff, Michael, Metzner, Hannah, and Olliges-Wieczorek, Ute

Subjects
CULTURAL property, DIGITAL preservation, CULTURAL maintenance, LIBRARIES, INDEXING
Abstract

Copyright of Bibliotheksdienst is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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49. EURETILE D7.3 - Dynamic DAL benchmark coding, measurements on MPI version of DPSNN-STDP (distributed plastic spiking neural net) and improvements to other DAL codes

Author

Paolucci, Pier Stanislao, Bacivarov, Iuliana, Rai, Devendra, Schor, Lars, Thiele, Lothar, Yang, Hoeseok, Pastorelli, Elena, Ammendola, Roberto, Biagioni, Andrea, Frezza, Ottorino, Cicero, Francesca Lo, Lonardo, Alessandro, Simula, Francesco, Tosoratto, Laura, and Vicini, Piero

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Mathematical Software, Computer Science - Neural and Evolutionary Computing, Quantitative Biology - Neurons and Cognition
Abstract

The EURETILE project required the selection and coding of a set of dedicated benchmarks. The project is about the software and hardware architecture of future many-tile distributed fault-tolerant systems. We focus on dynamic workloads characterised by heavy numerical processing requirements. The ambition is to identify common techniques that could be applied to both the Embedded Systems and HPC domains. This document is the first public deliverable of Work Package 7: Challenging Tiled Applications., Comment: 34 pages. arXiv admin note: substantial text overlap with arXiv:1310.8478

Published
2014

50. NaNet: a Low-Latency, Real-Time, Multi-Standard Network Interface Card with GPUDirect Features

Author

Lonardo, A., Ameli, F., Ammendola, R., Biagioni, A., Frezza, O., Lamanna, G., Cicero, F. Lo, Martinelli, M., Paolucci, P. S., Pastorelli, E., Pontisso, L., Rossetti, D., Simeone, F., Simula, F., Sozzi, M., Tosoratto, L., and Vicini, P.

Subjects
Physics - Instrumentation and Detectors, Computer Science - Hardware Architecture
Abstract

While the GPGPU paradigm is widely recognized as an effective approach to high performance computing, its adoption in low-latency, real-time systems is still in its early stages. Although GPUs typically show deterministic behaviour in terms of latency in executing computational kernels as soon as data is available in their internal memories, assessment of real-time features of a standard GPGPU system needs careful characterization of all subsystems along data stream path. The networking subsystem results in being the most critical one in terms of absolute value and fluctuations of its response latency. Our envisioned solution to this issue is NaNet, a FPGA-based PCIe Network Interface Card (NIC) design featuring a configurable and extensible set of network channels with direct access through GPUDirect to NVIDIA Fermi/Kepler GPU memories. NaNet design currently supports both standard - GbE (1000BASE-T) and 10GbE (10Base-R) - and custom - 34~Gbps APElink and 2.5~Gbps deterministic latency KM3link - channels, but its modularity allows for a straightforward inclusion of other link technologies. To avoid host OS intervention on data stream and remove a possible source of jitter, the design includes a network/transport layer offload module with cycle-accurate, upper-bound latency, supporting UDP, KM3link Time Division Multiplexing and APElink protocols. After NaNet architecture description and its latency/bandwidth characterization for all supported links, two real world use cases will be presented: the GPU-based low level trigger for the RICH detector in the NA62 experiment at CERN and the on-/off-shore data link for KM3 underwater neutrino telescope.

Published
2014

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