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2. Systematic Needs Analysis of Advanced Digital Skills for Postgraduate Computing Education: The DIGITAL4Business Case

Author

Somers, Carmel, Feenan, Dave, Fitzgerald, David, Henriques, Roberto, Martignoni, Matteo, Parletta, Daniela Angela, Cibin, Eva, Chis, Adriana E., González–Vélez, Horacio, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Olney, Andrew M., editor, Chounta, Irene-Angelica, editor, Liu, Zitao, editor, Santos, Olga C., editor, and Bittencourt, Ig Ibert, editor

Published
2024
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6. Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era

Author

Zamuda, Aleš, Crescimanna, Vincenzo, Burguillo, Juan C., Matos Dias, Joana, Wegrzyn-Wolska, Katarzyna, Rached, Imen, González-Vélez, Horacio, Senkerik, Roman, Pop, Claudia, Cioara, Tudor, Salomie, Ioan, Bracciali, Andrea, 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, Kołodziej, Joanna, editor, and González-Vélez, Horacio, editor

Published
2019
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7. Big Data Processing, Analysis and Applications in Mobile Cellular Networks

Author

Brdar, Sanja, Novović, Olivera, Grujić, Nastasija, González–Vélez, Horacio, Truică, Ciprian-Octavian, Benkner, Siegfried, Bajrovic, Enes, Papadopoulos, Apostolos, 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, Kołodziej, Joanna, editor, and González-Vélez, Horacio, editor

Published
2019
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9. Trust and Reputation Smart Contracts for Explainable Recommendations

Author

Leal, Fátima, Veloso, Bruno, Malheiro, Benedita, González-Vélez, Horacio, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Rocha, Álvaro, editor, Adeli, Hojjat, editor, Reis, Luís Paulo, editor, Costanzo, Sandra, editor, Orovic, Irena, editor, and Moreira, Fernando, editor

Published
2020
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10. Smart Pharmaceutical Manufacturing: Ensuring End-to-End Traceability and Data Integrity in Medicine Production

Author

Leal, Fátima, Chis, Adriana E., Caton, Simon, González–Vélez, Horacio, García–Gómez, Juan M., Durá, Marta, Sánchez–García, Angel, Sáez, Carlos, Karageorgos, Anthony, Gerogiannis, Vassilis C., Xenakis, Apostolos, Lallas, Efthymios, Ntounas, Theodoros, Vasileiou, Eleni, Mountzouris, Georgios, Otti, Barbara, Pucci, Penelope, Papini, Rossano, Cerrai, David, and Mier, Mariola

Published
2021
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15. Semantic Profiling and Destination Recommendation based on Crowd-sourced Tourist Reviews

Author

Leal, Fátima, González–Vélez, Horacio, Malheiro, Benedita, Burguillo, Juan Carlos, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Omatu, Sigeru, editor, Rodríguez, Sara, editor, Villarrubia, Gabriel, editor, Faria, Pedro, editor, Sitek, Paweł, editor, and Prieto, Javier, editor

Published
2018
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19. Adaptive structured parallelism

Author

González Vélez, Horacio

Subjects
005.3
Abstract

Algorithmic skeletons abstract commonly-used patterns of parallel computation, communication, and interaction. Parallel programs are expressed by interweaving parameterised skeletons analogously to the way in which structured sequential programs are developed, using well-defined constructs. Skeletons provide top-down design composition and control inheritance throughout the program structure. Based on the algorithmic skeleton concept, structured parallelism provides a high-level parallel programming technique which allows the conceptual description of parallel programs whilst fostering platform independence and algorithm abstraction. By decoupling the algorithm specification from machine-dependent structural considerations, structured parallelism allows programmers to code programs regardless of how the computation and communications will be executed in the system platform. Meanwhile, large non-dedicated multiprocessing systems have long posed a challenge to known distributed systems programming techniques as a result of the inherent heterogeneity and dynamism of their resources. Scant research has been devoted to the use of structural information provided by skeletons in adaptively improving program performance, based on resource utilisation. This thesis presents a methodology to improve skeletal parallel programming in heterogeneous distributed systems by introducing adaptivity through resource awareness. As we hypothesise that a skeletal program should be able to adapt to the dynamic resource conditions over time using its structural forecasting information, we have developed ASPara: Adaptive Structured Parallelism. ASPara is a generic methodology to incorporate structural information at compilation into a parallel program, which will help it to adapt at execution. By means of the skeleton API, ASPara instruments a skeletal program with a series of pragmatic rules, which depend on particular performance thresholds based on the nature of the skeleton, the computation/communication ratio of the program, and the availability of resources in the system. Every rule essentially determines the scheduling for the given skeleton. ASpara is comprised of four phases: programming, compilation, calibration, and execution. We illustrate the feasibility of this approach and its associated performance improvements using independent case studies based on two algorithmic skeletons, the task farm and the pipeline, programmed in C and MPI and executed in a non-dedicated heterogeneous bi-cluster system.

Published
2008

22. Next Generation HPC Clouds: A View for Large-Scale Scientific and Data-Intensive Applications

Author

Petcu, Dana, González–Vélez, Horacio, Nicolae, Bogdan, García–Gómez, Juan Miguel, Fuster–Garcia, Elies, Sheridan, Craig, 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, Jesús, editor, Breitbart, Jens, editor, and Alexander, Michael, editor

Published
2014
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27. GPU Acceleration for Hermitian Eigensystems

Author

Garba, Michael T., González–Vélez, Horacio, Roach, Daniel L., 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, Nguyen, Ngoc-Thanh, editor, Kołodziej, Joanna, editor, Burczyński, Tadeusz, editor, and Biba, Marenglen, editor

Published
2013
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28. The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

Author

Hammond, Kevin, Aldinucci, Marco, Brown, Christopher, Cesarini, Francesco, Danelutto, Marco, González-Vélez, Horacio, Kilpatrick, Peter, Keller, Rainer, Rossbory, Michael, Shainer, Gilad, 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, Beckert, Bernhard, editor, Damiani, Ferruccio, editor, de Boer, Frank S., editor, and Bonsangue, Marcello M., editor

Published
2013
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29. Automatic Versioning of Time Series Datasets: a FAIR Algorithmic Approach

Author

González-Cebrián, Alba, McGuinness, Luke, Rafii, Fadoua, Bradford, Michael, E. Chis, Adriana, and González-Vélez, Horacio

Subjects
paper-presentation
Abstract

As one of the fundamental concepts underpinning the FAIR (Findability, Accessibility, Interoperability, and Reusability) guiding principles, data provenance entails keeping track of each version for a given dataset from its original to its latest version. However, standard terms to determine and include versioning information in the metadata of a given dataset are still ambiguous and do not explicitly define how to assess the overlap of information between items along a versioning stream. In this work, we propose a novel approach for automatic versioning of time series datasets, based on the use of parameters from two dimensionality reduction approaches, namely Principal Component Analysis and Autoencoders. That is to say, we systematically detect and measure similarities (information distances)in datasets via dimensionality reduction, encode them as different versions, and then automatically generate provenance metadata via a FAIRversioning service using the W3C DCAT 3.0 nomenclature. We illustrate this approach with two time series datasets and demonstrate how the proposed parameters effectively assess the similarity between different data versions. Our results have shown that the proposed version similarity metrics are robust (\(s^{(0,1)} = 1\)) to the alteration of up to 60% of cells, the removal of up to 60% of rows, and the log-scale transformation of variables. In contrast, row-wise transformations (e.g. converting absolute values to a percentage of a second variable) yield minimal similarity values (\(s^{(0,1)} < 0.75\)). Our code and datasets are openly available to enable reproducibility.&nbsp

Published
2022
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31. On the Implementation of HealthAgents: Agent-Based Brain Tumour Diagnosis

Author

Lluch-Ariet, Magí, Estanyol, Francesc, Mier, Mariola, Delgado, Carla, González-Vélez, Horacio, Dalmas, Tiphaine, Robles, Montserrat, Sáez, Carlos, Vicente, Javier, Van Huffel, Sabine, Luts, Jan, Arús, Carles, Silveira, Ana Paula Candiota, Julià-Sapé, Margarida, Peet, Andrew, Gibb, Alex, Sun, Yu, Celda, Bernardo, Bisbal, Maria Carmen Martínez, Valsecchi, Giulia, Dupplaw, David, Hu, Bo, Lewis, Paul, Walliser, Marius, editor, Brantschen, Stefan, editor, Calisti, Monique, editor, Schinkinger, Stefan, editor, Annicchiarico, Roberta, editor, Cortés, Ulises, editor, and Urdiales, Cristina, editor

Published
2008
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33. Towards Fully Adaptive Pipeline Parallelism for Heterogeneous Distributed Environments

Author

González-Vélez, Horacio, Cole, Murray, 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, Guo, Minyi, editor, Yang, Laurence T., editor, Di Martino, Beniamino, editor, Zima, Hans P., editor, Dongarra, Jack, editor, and Tang, Feilong, editor

Published
2006
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34. An Adaptive Skeletal Task Farm for Grids

Author

González-Vélez, Horacio, 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, Cunha, José C., editor, and Medeiros, Pedro D., editor

Published
2005
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35. On the Abstraction of Message-Passing Communications Using Algorithmic Skeletons : A Case Study

Author

González-Vélez, Horacio, 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, Ramos, Félix F., editor, Larios Rosillo, Victor, editor, and Unger, Herwig, editor

Published
2005
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36. Towards a computational approach for the assessment of compliance of ALCOA+ Principles in pharma industry

Author

Durá, Marta, Sánchez-García, Ángel, Sáez, Carlos, Leal, Fátima, Chis, Adriana E., González-Vélez, Horacio, and García-Gómez, Juan M.

Subjects
Data integrity, ComputingMilieux_LEGALASPECTSOFCOMPUTING, Pharma manufacturing industry, ALCOA+ compliance
Abstract

The pharmaceutical industry is a data-intensive environment and a heavily-regulated sector, where exhaustive audits and inspections are performed to ensure the safety of drugs. In this context, processing and evaluating the data generated in the manufacturing lines is a relevant challenge since it requires compliance with pharma regulations. This work combines data integrity metrics and blockchain technology to evaluate the compliance-degree of ALCOA+ principles among different levels of drug manufacturing data. We propose the DIALCOA tool, a software to assess the compliance-degree for each ALCOA+ principle, based on the assessment of data from manufacturing batch reports and its different levels of information.

Published
2022

38. Clinically-validated technologies for assisted living

Author

Spinsante, Susanna, primary, Poli, Angelica, additional, Mongay Batalla, Jordi, additional, Krawiec, Piotr, additional, Dobre, Ciprian, additional, Bǎjenaru, Lidia, additional, Mavromoustakis, Constandinos X., additional, Costantinou, Costas S., additional, Molan, Gregor, additional, Herghelegiu, Anna Marie, additional, Prada, Gabriel Ioan, additional, Drǎghici, Rozeta, additional, and González–Vélez, Horacio, additional

Published
2021
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46. On the Implementation of HealthAgents: Agent-Based Brain Tumour Diagnosis

Author

Lluch-Ariet, Magí, primary, Estanyol, Francesc, additional, Mier, Mariola, additional, Delgado, Carla, additional, González-Vélez, Horacio, additional, Dalmas, Tiphaine, additional, Robles, Montserrat, additional, Sáez, Carlos, additional, Vicente, Javier, additional, Van Huffel, Sabine, additional, Luts, Jan, additional, Arús, Carles, additional, Silveira, Ana Paula Candiota, additional, Julià-Sapé, Margarida, additional, Peet, Andrew, additional, Gibb, Alex, additional, Sun, Yu, additional, Celda, Bernardo, additional, Bisbal, Maria Carmen Martínez, additional, Valsecchi, Giulia, additional, Dupplaw, David, additional, Hu, Bo, additional, and Lewis, Paul, additional

Published
2007
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47. High-Performance Modelling and Simulation for Big Data Applications

Author

Kołodziej, Joanna and González-Vélez, Horacio

Subjects
Computer science, Computer system failures, Computer communication systems, Microprocessors, Application software, Logic design, Operating systems (Computers), thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware, thema EDItEUR::U Computing and Information Technology::UL Operating systems, thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval, thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design, thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design
Abstract

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.

Published
2019
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