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212 results on '"Jalby, William"'

1. MLKAPS: Machine Learning and Adaptive Sampling for HPC Kernel Auto-tuning

Author

Jam, Mathys, Petit, Eric, Castro, Pablo de Oliveira, Defour, David, Henry, Greg, and Jalby, William

Subjects
Computer Science - Performance, Computer Science - Software Engineering
Abstract

Many High-Performance Computing (HPC) libraries rely on decision trees to select the best kernel hyperparameters at runtime,depending on the input and environment. However, finding optimized configurations for each input and environment is challengingand requires significant manual effort and computational resources. This paper presents MLKAPS, a tool that automates this task usingmachine learning and adaptive sampling techniques. MLKAPS generates decision trees that tune HPC kernels' design parameters toachieve efficient performance for any user input. MLKAPS scales to large input and design spaces, outperforming similar state-of-the-artauto-tuning tools in tuning time and mean speedup. We demonstrate the benefits of MLKAPS on the highly optimized Intel MKLdgetrf LU kernel and show that MLKAPS finds blindspots in the manual tuning of HPC experts. It improves over 85% of the inputswith a geomean speedup of x1.30. On the Intel MKL dgeqrf QR kernel, MLKAPS improves performance on 85% of the inputs with ageomean speedup of x1.18.

Published
2025

2. Exascale Quantum Mechanical Simulations: Navigating the Shifting Sands of Hardware and Software

Author

Shinde, Ravindra, Filippi, Claudia, Scemama, Anthony, and Jalby, William

Subjects
Physics - Computational Physics, Physics - Chemical Physics
Abstract

The era of exascale computing presents both exciting opportunities and unique challenges for quantum mechanical simulations. While the transition from petaflops to exascale computing has been marked by a steady increase in computational power, the shift towards heterogeneous architectures, particularly the dominant role of graphical processing units (GPUs), demands a fundamental shift in software development strategies. This review examines the changing landscape of hardware and software for exascale computing, highlighting the limitations of traditional algorithms and software implementations in light of the increasing use of heterogeneous architectures in high-end systems. We discuss the challenges of adapting quantum chemistry software to these new architectures, including the fragmentation of the software stack, the need for more efficient algorithms (including reduced precision versions) tailored for GPUs, and the importance of developing standardized libraries and programming models., Comment: 20 pages, 4 figures; Submitted to Nature Reviews Physics

Published
2024

3. TREXIO: A File Format and Library for Quantum Chemistry

Author

Posenitskiy, Evgeny, Chilkuri, Vijay Gopal, Ammar, Abdallah, Hapka, Michał, Pernal, Katarzyna, Shinde, Ravindra, Borda, Edgar Josué Landinez, Filippi, Claudia, Nakano, Kosuke, Kohulák, Otto, Sorella, Sandro, Castro, Pablo de Oliveira, Jalby, William, Rıós, Pablo López, Alavi, Ali, and Scemama, Anthony

Subjects
Physics - Chemical Physics
Abstract

TREXIO is an open-source file format and library developed for the storage and manipulation of data produced by quantum chemistry calculations. It is designed with the goal of providing a reliable and efficient method of storing and exchanging wave function parameters and matrix elements, making it an important tool for researchers in the field of quantum chemistry. In this work, we present an overview of the TREXIO file format and library. The library consists of a front-end implemented in the C programming language and two different back-ends: a text back-end and a binary back-end utilizing the HDF5 library which enables fast read and write operations. It is compatible with a variety of platforms and has interfaces for the Fortran, Python, and OCaml programming languages. In addition, a suite of tools has been developed to facilitate the use of the TREXIO format and library, including converters for popular quantum chemistry codes and utilities for validating and manipulating data stored in TREXIO files. The simplicity, versatility, and ease of use of TREXIO make it a valuable resource for researchers working with quantum chemistry data., Comment: 13 pages, 2 figures

Published
2023
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5. Minimizing Energy Consumption of MPI Programs in Realistic Environment

Author

Guermouche, Amina, Triquenaux, Nicolas, Pradelle, Benoit, and Jalby, William

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

Dynamic voltage and frequency scaling proves to be an efficient way of reducing energy consumption of servers. Energy savings are typically achieved by setting a well-chosen frequency during some program phases. However, determining suitable program phases and their associated optimal frequencies is a complex problem. Moreover, hardware is constrained by non negligible frequency transition latencies. Thus, various heuristics were proposed to determine and apply frequencies, but evaluating their efficiency remains an issue. In this paper, we translate the energy minimization problem into a mixed integer program that specifically models most current hardware limitations. The problem solution then estimates the minimal energy consumption and the associated frequency schedule. The paper provides two different formulations and a discussion on the feasibility of each of them on realistic applications.

Published
2015

6. Scalable Fast Multipole Method for Electromagnetic Simulations

Author

Möller, Nathalie, Petit, Eric, Carayol, Quentin, Dinh, Quang, Jalby, William, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Rodrigues, João M. F., editor, Cardoso, Pedro J. S., editor, Monteiro, Jânio, editor, Lam, Roberto, editor, Krzhizhanovskaya, Valeria V., editor, Lees, Michael H., editor, Dongarra, Jack J., editor, and Sloot, Peter M.A., editor

Published
2019
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8. Quantum Monte Carlo for large chemical systems: Implementing efficient strategies for petascale platforms and beyond

Author

Scemama, Anthony, Caffarel, Michel, Oseret, Emmanuel, and Jalby, William

Subjects
Computer Science - Performance, Computer Science - Computational Engineering, Finance, and Science, Physics - Computational Physics
Abstract

Various strategies to implement efficiently QMC simulations for large chemical systems are presented. These include: i.) the introduction of an efficient algorithm to calculate the computationally expensive Slater matrices. This novel scheme is based on the use of the highly localized character of atomic Gaussian basis functions (not the molecular orbitals as usually done), ii.) the possibility of keeping the memory footprint minimal, iii.) the important enhancement of single-core performance when efficient optimization tools are employed, and iv.) the definition of a universal, dynamic, fault-tolerant, and load-balanced computational framework adapted to all kinds of computational platforms (massively parallel machines, clusters, or distributed grids). These strategies have been implemented in the QMC=Chem code developed at Toulouse and illustrated with numerical applications on small peptides of increasing sizes (158, 434, 1056 and 1731 electrons). Using 10k-80k computing cores of the Curie machine (GENCI-TGCC-CEA, France) QMC=Chem has been shown to be capable of running at the petascale level, thus demonstrating that for this machine a large part of the peak performance can be achieved. Implementation of large-scale QMC simulations for future exascale platforms with a comparable level of efficiency is expected to be feasible.

Published
2012
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9. Piecewise Holistic Autotuning of Compiler and Runtime Parameters

Author

Popov, Mihail, Akel, Chadi, Jalby, William, de Oliveira Castro, Pablo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Dutot, Pierre-François, editor, and Trystram, Denis, editor

Published
2016
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11. TREX Workshop: Code Tuning for the Exascale

Author

Jalby, William, Valensi, Cédric, Blaas-Schenner, Claudia, Vialov, Ivan, Vysocký, Ondřej, Tomáš PANOC, and Vavrik, Radim

Abstract

The TREX project, in collaboration with the Austrian, Czech, and Slovak National Competence Centres for HPC, is hosting the "Code Tuning for the Exascale" workshop in Bratislava, Slovakia, from June 5th to 7th. This workshop is specifically designed for code developers and focuses on code optimisation. Participants will have the opportunity to engage in tutorials and training activities that emphasize performance, power consumption, and energy efficiency in HPC systems. The workshop also featured hands-on sessions showcasing the TREX CHAMP code and other valuable tools. The main objectives of the workshop are to enhance the practical experience in optimising HPC systems, help participants align their code implementation with HPC objectives, and provide valuable hands-on experience with practical QMC simulations using the CHAMP code. See the official event page for more details at TREX Events. &nbsp

Published
2023
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12. TREX at TERATEC FORUM 2023: Enabling the community codes for stochatic quantum chemical simulations at the exascale

Author

Casula, Michele, Jalby, William, Auweter, Axel, and Pittonet, Sara

Abstract

We are excited to share that TREX participated in the prestigious 18th edition of the Teratec Forum, held on 31 May and 1 June 2023, at the Parc Floral in Paris. At the event, our team showcased our latest cutting-edge research and advancements in the Europa Village, an exclusive area dedicated to research projects. Europa Village serves as a vibrant hub of innovation, bringing together esteemed organisations such as Centres of Excellence, Competence Centres, research projects, infrastructure and service platforms, associations, and institutional bodies. Together, we are driving advancements and contributing to the success of economic and industrial players. We sincerely thank all those who visited the TREX booth at Stand #12 at the Teratec Forum. If you missed the chance to visit us, we invite you to explore our work and innovations by visiting the TREX website at https://trex-coe.eu/.

Published
2023
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13. TREXIO: A file format and library for quantum chemistry

Author

Posenitskiy, Evgeny, primary, Chilkuri, Vijay Gopal, additional, Ammar, Abdallah, additional, Hapka, Michał, additional, Pernal, Katarzyna, additional, Shinde, Ravindra, additional, Landinez Borda, Edgar Josué, additional, Filippi, Claudia, additional, Nakano, Kosuke, additional, Kohulák, Otto, additional, Sorella, Sandro, additional, de Oliveira Castro, Pablo, additional, Jalby, William, additional, Ríos, Pablo López, additional, Alavi, Ali, additional, and Scemama, Anthony, additional

Published
2023
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14. Leveraging stochastic electronic structure methods at the exascale

Author

Coppens, François, Jalby, William, and Scemama, Anthony

Abstract

TREX is taking part in the EuroHPC Summit 2023 in Göteborg, Sweden,during the poster session on day 1 (20 March). We present here the software development strategy and the current achievements of the European Centre of Excellence “Targeting Real chemical accuracy at the EXascale” (TREX). The main objective of TREX is the development of a user-friendly and open-source software suite in the domain of stochastic electronic structure simulations, which integrates a set of flagship quantum Monte Carlo codes within an interoperable, high-performance platform. The core of our software efforts is the creation of two libraries, the TREXIO and the quantum Monte Carlo kernel library (QMCkl).

Published
2023
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15. Statistical Validation Methodology of CPU Power Probes

Author

Mazouz, Abdelhafid, Pradelle, Benoît, Jalby, William, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Lopes, Luís, editor, Žilinskas, Julius, editor, Costan, Alexandru, editor, Cascella, Roberto G., editor, Kecskemeti, Gabor, editor, Jeannot, Emmanuel, editor, Cannataro, Mario, editor, Ricci, Laura, editor, Benkner, Siegfried, editor, Petit, Salvador, editor, Scarano, Vittorio, editor, Gracia, José, editor, Hunold, Sascha, editor, Scott, Stephen L., editor, Lankes, Stefan, editor, Lengauer, Christian, editor, Carretero, Jesus, editor, Breitbart, Jens, editor, and Alexander, Michael, editor

Published
2014
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17. QMC=Chem: A Quantum Monte Carlo Program for Large-Scale Simulations in Chemistry at the Petascale Level and beyond

Author

Scemama, Anthony, Caffarel, Michel, Oseret, Emmanuel, Jalby, William, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Daydé, Michel, editor, Marques, Osni, editor, and Nakajima, Kengo, editor

Published
2013
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18. Compiler Optimizations: Machine Learning versus O3

Author

Kashnikov, Yuriy, Beyler, Jean Christophe, Jalby, William, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kasahara, Hironori, editor, and Kimura, Keiji, editor

Published
2013
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19. Improving MPI Communication Overlap with Collaborative Polling

Author

Didelot, Sylvain, Carribault, Patrick, Pérache, Marc, Jalby, William, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Träff, Jesper Larsson, editor, Benkner, Siegfried, editor, and Dongarra, Jack J., editor

Published
2012
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20. ASK: Adaptive Sampling Kit for Performance Characterization

Author

de Oliveira Castro, Pablo, Petit, Eric, Beyler, Jean Christophe, Jalby, William, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kaklamanis, Christos, editor, Papatheodorou, Theodore, editor, and Spirakis, Paul G., editor

Published
2012
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21. Adaptive OpenMP for Large NUMA Nodes

Author

Mahéo, Aurèle, Koliaï, Souad, Carribault, Patrick, Pérache, Marc, Jalby, William, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chapman, Barbara M., editor, Massaioli, Federico, editor, Müller, Matthias S., editor, and Rorro, Marco, editor

Published
2012
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22. Measuring Computer Performance

Author

Jalby, William, Wong, David C., Kuck, David J., Acquaviva, Jean-Thomas, Beyler, Jean-Christophe, Berry, Michael W., editor, Gallivan, Kyle A., editor, Gallopoulos, Efstratios, editor, Grama, Ananth, editor, Philippe, Bernard, editor, Saad, Yousef, editor, and Saied, Faisal, editor

Published
2012
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23. Hardware Performance Monitoring for the Rest of Us: A Position and Survey

Author

Moseley, Tipp, Vachharajani, Neil, Jalby, William, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Altman, Erik, editor, and Shi, Weisong, editor

Published
2011
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24. Tackling Cache-Line Stealing Effects Using Run-Time Adaptation

Author

Zuckerman, Stéphane, Jalby, William, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Cooper, Keith, editor, Mellor-Crummey, John, editor, and Sarkar, Vivek, editor

Published
2011
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25. A Balanced Approach to Application Performance Tuning

Author

Koliai, Souad, Zuckerman, Stéphane, Oseret, Emmanuel, Ivascot, Mickaël, Moseley, Tipp, Quang, Dinh, Jalby, William, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Gao, Guang R., editor, Pollock, Lori L., editor, Cavazos, John, editor, and Li, Xiaoming, editor

Published
2010
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27. The Design and Architecture of MAQAOAdvisor: A Live Tuning Guide

Author

Djoudi, Lamia, Noudohouenou, Jose, Jalby, William, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Sadayappan, Ponnuswamy, editor, Parashar, Manish, editor, Badrinath, Ramamurthy, editor, and Prasanna, Viktor K., editor

Published
2008
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28. Fine Tuning Matrix Multiplications on Multicore

Author

Zuckerman, Stéphane, Pérache, Marc, Jalby, William, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Sadayappan, Ponnuswamy, editor, Parashar, Manish, editor, Badrinath, Ramamurthy, editor, and Prasanna, Viktor K., editor

Published
2008
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29. Leveraging stochastic electronic structure methods at the exascale

Author

Borda, Edgar Landinez, Abrusci, Gianfranco, Alavi, Ali, Chilkuri, Vijay Gopal, Coppens, François, Filippi, Claudia, A. Delval, Hapka, Michal, M. Hoffer, Jalby, William, Rios, Pablo Lopez, Nakano, Kosuke, De Oliveira Castro, Pablo, R. Panades, Pernal, Kasia, Posenitskiy, Evgeny, Ravindra Shinde, Sokół, Adam, Sorella, Sandro, and Scemama, Anthony

Subjects
Quantum Monte Carlo, TREXIO, TREX, QMCkl, exascale
Abstract

The poster was presented at the Psi-k 2022 conference, August 22-25. The poster presetns the software development strategy and the current achievements of the European Centre of Excellence “Targeting Real chemical accuracy at the EXascale” (TREX). The main objective of TREX is the development of a user-friendly and open-source software suite in the domain of stochastic electronic structure simulations, which integrates a set of flagship quantum Monte Carlo codes within an interoperable, high-performance platform. Core of our software efforts is the creation of two libraries, the TREXIO and the quantum Monte Carlo kernel library (QMCkl).

Published
2022
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30. Collisions of SHA-0 and Reduced SHA-1

Author

Biham, Eli, Chen, Rafi, Joux, Antoine, Carribault, Patrick, Lemuet, Christophe, Jalby, William, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Cramer, Ronald, editor

Published
2005
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31. Branch Strategies to Optimize Decision Trees for Wide-Issue Architectures

Author

Carribault, Patrick, Lemuet, Christophe, Acquaviva, Jean-Thomas, Cohen, Albert, Jalby, William, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Eigenmann, Rudolf, editor, Li, Zhiyuan, editor, and Midkiff, Samuel P., editor

Published
2005
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32. TREX at TERATEC 2022: Enabling the community codes for stochastic quantum chemical simulations at he exascale

Author

Auweter, Axel, Casula, Michele, Jalby, William, Pittonet, Sara, Denis, Jean-Marc, Dolbeau, Romain, Marie-Ann Garigue, and Prunty, Craig

Subjects
stochastic quantum chemical simulations, HPC, exascale
Abstract

The poster was presented at Teratec 2022, June 14-15. Computers can perform extremely fast calculations which would take human beings years to accomplish, accelerating innovation to unprecedented levels. High-performance computing (HPC) and high-throughput computing (HTC) have enabled us to simulate large-scale complex processes and analyze tremendous amounts of data, benefitting applications ranging from climate research and drug discovery to material design. Emerging exascale computers will make the best even better, 50 times faster than today's most powerful supercomputers. The TREX Center of Excellence (CoE) federates European scientists, HPC stakeholders, and SMEs to develop and apply high-performance software solutions for high-accuracy quantum mechanical simulations at the exascale. In June 2022, TREX participated in the Teratec 2022 Forum as an exhibitor of the Europa Village. TREX also joined forces with SIPEARL and ATOS in the EMOPASS project, and use QMCKL and TREX applications to test SIPEARL processors, empowering the European microprocessors' industry. &nbsp

Published
2022
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33. Coherency Behavior on DSM: A Case Study

Author

Acquaviva, Jean-Thomas, Jalby, William, Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Bode, Arndt, editor, Ludwig, Thomas, editor, Karl, Wolfgang, editor, and Wismüller, Roland, editor

Published
2000
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34. OCEANS - Optimising Compilers for Embedded Applications⋆

Author

Barreteau, Michel, Bodin, François, Chamski, Zbigniew, Charles, Henri-Pierre, Eisenbeis, Christine, Gurd, John, Hoogerbrugge, Jan, Hu, Ping, Jalby, William, Kisuki, Toru, Knijnenburg, Peter M. W., van der Mark, Paul, Nisbet, Andy, O’Boyle, Michael F. P., Rohou, Erven, Seznec, André, Stöhr, Elena A., Treffers, Menno, Wijshoff, Harry A. G., Amestoy, Patrick, editor, Berger, Philippe, editor, Daydé, Michel, editor, Ruiz, Daniel, editor, Duff, Iain, editor, Frayssé, Valérie, editor, and Giraud, Luc, editor

Published
1999
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35. D3.2 – Initial public release of high-performance software components

Author

Jalby, William, Vijay Gopal Chilkuri, and Scemama, Anthony

Subjects
TREX codes, QMC
Abstract

In this first document, after a brief Introduction (Section 1), we are describing the rationale for QMCkl design guidelines (Section 2). In particular, objectives and general methodology will be highlighted. Then, more precise details on the methodology will be given by walking through a detailed DGEMM example (Section 3). Finally, some preliminary performance results on a key QMCkl routine (JASTROW computation will be given). This first document essentially covers work in progress. As such, first, many implementation choices presented in this first document are still preliminary and might evolve. Second, we first focused on multicore CPU: although we kept in mind GPU constraints and issues, most of the implementation efforts targeted multicore CPU (X86 and ARM) and the first performance results have been obtained on X86. More performance tests on X86 are underway, and tests on ARM will be carried out in the coming months as well as the first QMCkl extensions to cover GPU. All of these topics will be covered in detail in the second deliverable. &nbsp

Published
2022
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36. OCEANS: Optimising compilers for embedded applicatioNS

Author

Barreteau, Michel, Bodin, FranÇois, Brinkhaus, Peter, Chamski, Zbigniew, Charles, Henri-Pierre, Eisenbeis, Christine, Gurd, John, Hoogerbrugge, Jan, Hu, Ping, Jalby, William, Knijnenburg, Peter M. W., O’Boyle, Michael, Rohou, Erven, Sakellariou, Rizos, Seznec, André, Stöhr, Elena A., Treffers, Menno, Wijshoff, Harry A. G., Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Pritchard, David, editor, and Reeve, Jeff, editor

Published
1998
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37. OCEANS: Optimizing compilers for embedded applications

Author

Aarts, Bas, Barreteau, Michel, Bodin, François, Brinkhaus, Peter, Chamski, Zbigniew, Charles, Henri-Pierre, Eisenbeis, Christine, Gurd, John, Hoogerbrugge, Jan, Hu, Ping, Jalby, William, Knijnenburg, Peter M. W., O'Boyle, Michael F. P., Rohou, Erven, Sakellariou, Rizos, Schepers, Henk, Seznec, André, Stöhr, Elena, Verhoeven, Marco, Wijshofi, Harry A. G., Lengauer, Christian, editor, Griebl, Martin, editor, and Gorlatch, Sergei, editor

Published
1997
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44. TREX : an innovative view of HPC usage applied to Quantum Monte Carlo simulations

Author

Scemama, Anthony, de Oliveira Castro, Pablo, Valensi, Cedric, and Jalby, William

Abstract

TREX : an innovative view of HPC usage applied to Quantum Monte Carlo simulations The TREX[1] European Center of Excellence focuses on high accuracy quantum mechanical methods, essential in many different fields of application such as new material design or photochemistry. Among these methods, Quantum Monte Carlo (QMC) approaches are particularly well adapted to exascale architectures. Our ambition is to the help the community take advantage of exascale machines through the use of our HPC software. We will review in the presentation progress along the three following axes: * TREXIO[2]: A common I/O library and file format for easily exchanging data between applications, facilitating high-throughput computing workflows, * QMCkl[3]: A library of computational kernels specific to QMC applications written together by QMC and HPC experts, taking advantage of both CPUs and GPUs, * An integrated workflow including performance analysis (MAQAO[4]) and numerical accuracy measurements (Verificarlo[5]) to be used for the development of QMC kernels and more generally for improving the applications. In particular, we plan to identify the best performance usage of QMCkl and also to adjust the performance with numerical precision requirements. ------------------------------------ [1] https://trex-coe.eu [2] https://github.com/trex-coe/trexio [3] https://trex-coe.github.io/qmckl [4] https://www.maqao.org [5] https://github.com/verificarlo ------------------------------------ &nbsp

Published
2021
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45. Topic 11: Multicore and Manycore Programming : (Introduction)

Author

Derose, Luiz, Treibig, Jan, Jalby, William, de Melo, Alba Cristina M. A., Abramson, David, Donaldson, Alastair, Margalef, Tomàs, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wolf, Felix, editor, Mohr, Bernd, editor, and an Mey, Dieter, editor

Published
2013
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47. Topic 11: Multicore and Manycore Programming

Author

Derose, Luiz, primary, Treibig, Jan, additional, Jalby, William, additional, de Melo, Alba Cristina M. A., additional, Abramson, David, additional, Donaldson, Alastair, additional, and Margalef, Tomàs, additional

Published
2013
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