Search Results - "Jorge Ejarque"

End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning

Authors: Donatello Elia Sonia Scardigno Jorge Ejarque et al.

Source: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis

Subject Terms: Supercomputadors, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, 13. Climate action, Machine learning, Scientific workflow management, High performance data analytics, Extreme climate events, Data-driven models, 14. Life underwater, 15. Life on land, Data flow computing, 7. Clean energy

File Description: application/pdf

PyCOMPSs as an Instrument for Translational Computer Science

Authors: Rosa M. Badia Javier Conejero Jorge Ejarque et al.

Contributors: Rosa M. Badia Javier Conejero Jorge Ejarque et al.

Source: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Computing in Science & Engineering
Authorea, Inc.

Subject Terms: Informàtica::Arquitectura de computadors::Arquitectures distribuïdes [Àrees temàtiques de la UPC], European funded projects, Linguistics, Language translation, 01 natural sciences, Distributed processing, Programming model, 0103 physical sciences, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes, Electronic data processing -- Distributed processing, Research instrument, Barcelona Supercomputing Center, TCS, PyCOMPSs project, Processament distribuït de dades

File Description: application/pdf

The impact of non-additive genetic associations on age-related complex diseases

Authors: Marta Guindo-Martínez Ramon Amela Silvia Bonàs-Guarch et al.

Source: Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)

Subject Terms: Science

File Description: electronic resource

Relation: https://doaj.org/toc/2041-1723

Access URL: https://doaj.org/article/c3da7a8a42bb4ca499fd3cc3c84e3a1a

Energy-Aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures

Authors: Richard Kavanagh Karim Djemame Jorge Ejarque et al.

Contributors: Richard Kavanagh Karim Djemame Jorge Ejarque et al.

Source: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Subject Terms: Parallel processing (Electronic computers), Quality of service (Computer networks), Càlcul intensiu (Informàtica) -- Consum d'energia, Processament en paral·lel (Ordinadors), 02 engineering and technology, Energy modelling, 7. Clean energy, High performance computing -- Energy consumption, Programming model, Heterogeneous hardware architectures, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Application deployment, 0202 electrical engineering, electronic engineering, information engineering, Self-adaptation, Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC]

File Description: application/pdf

Access URL: https://upcommons.upc.edu/bitstream/2117/186653/1/Kavanagh%20et%20al.pdf
https://eprints.whiterose.ac.uk/145092/1/structure.pdf
https://upcommons.upc.edu/handle/2117/186653
https://upcommons.upc.edu/bitstream/2117/186653/1/Kavanagh%20et%20al.pdf
https://ieeexplore.ieee.org/document/8693866/
https://dblp.uni-trier.de/db/journals/tsusc/tsusc5.html#KavanaghDEBG20
https://eprints.whiterose.ac.uk/145092/
https://hdl.handle.net/2117/186653
https://doi.org/10.1109/tsusc.2019.2912000

Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence

Authors: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental et al.

Index Terms: Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, High performance computing, Electronic data processing -- Distributed processing, Parallel programming (Computer science), Distributed computing, HPC-DA-AI convergence, Workflow development, Workflow orchestration, Càlcul intensiu (Informàtica), Processament distribuït de dades, Programació en paral·lel (Informàtica), Article

URL: https://arxiv.org/abs/2204.09287
http://hdl.handle.net/2117/367940
https://www.sciencedirect.com/science/article/abs/pii/S0167739X22001364
https://www.sciencedirect.com/science/article/abs/pii/S0167739X22001364
info:eu-repo/grantAgreement/EC/H2020/955558/EU/Enabling dynamic and Intelligent workflows in the future EuroHPCecosystem/eFlows4HPC

PyCOMPSs as an Instrument for Translational Computer Science.

Authors: Badia, Rosa M. Conejero, Javier Ejarque, Jorge et al.

Source: Computing in Science & Engineering; Mar/Apr2022, Vol. 24 Issue 2, p79-84, 6p

Subject Terms: COMPUTER science, DISTRIBUTED computing, TEAMS in the workplace, RESEARCH methodology

The impact of non-additive genetic associations on age-related complex diseases.

Authors: Guindo-Martínez, Marta Amela, Ramon Bonàs-Guarch, Silvia et al.

Source: Nature Communications; 4/23/2021, Vol. 12 Issue 1, p1-14, 14p

Subject Terms: X chromosome, CHROMOSOME analysis, PANEL analysis, RECESSIVE genes, ODDS ratio, SAMPLE size (Statistics)

Boosting HPC data analysis performance with the ParSoDA-Py library.

Authors: Belcastro, Loris Giampà, Salvatore Marozzo, Fabrizio et al.

Source: Journal of Supercomputing; May2024, Vol. 80 Issue 8, p11741-11761, 21p

Subject Terms: DATA analysis, PYTHON programming language, DATA mining, DATA libraries, LIBRARY technical services, HIGH performance computing, BIG data

Task Scheduling Techniques for Energy Efficiency in the Cloud.

Authors: Kak, Sanna Mehraj Agarwal, Parul Afshar Alam, M.

Source: EAI Endorsed Transactions on the Energy Web; 2022, Vol. 9 Issue 39, p1-6, 6p

Subject Terms: ENERGY consumption, CLOUD computing, PRODUCTION scheduling, MACHINE learning, GENETIC algorithms

Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications.

Authors: CASTRO, OSCAR BRUNEAU, PIERRICK SOTTET, JEAN-SÉBASTIEN et al.

Source: ACM Computing Surveys; Mar2024, Vol. 56 Issue 3, p1-30, 30p

Subject Terms: PROGRAMMING languages, COMPUTER programming, INFORMATION technology, ARTIFICIAL neural networks, DEEP reinforcement learning, PYTHON programming language, DEEP learning

Block size estimation for data partitioning in HPC applications using machine learning techniques.

Authors: Cantini, Riccardo Marozzo, Fabrizio Orsino, Alessio et al.

Source: Journal of Big Data; 1/16/2024, Vol. 11 Issue 1, p1-23, 23p

Subject Terms: MACHINE learning, SUPERVISED learning, HIGH performance computing, DISTRIBUTED computing

DAGWO based secure task scheduling in Multi-Cloud environment with risk probability.

Authors: Jawade, Prashant Balkrishna Ramachandram, S.

Source: Multimedia Tools & Applications; Jan2024, Vol. 83 Issue 1, p2527-2550, 24p

Automatizing the creation of specialized high-performance computing containers.

Authors: Ejarque, Jorge Badia, Rosa M

Source: International Journal of High Performance Computing Applications; Jul2023, Vol. 37 Issue 3/4, p272-287, 16p

Subject Terms: SYSTEM administrators, EXPERT systems, SUPERCOMPUTERS, CONTAINERS, CONTAINER terminals

Survey of web service composition.

Authors: Ben Messaoud, Wala Ghedira, Khaled Ben Halima, Youssef et al.

Source: 2015 5th International Conference on Information & Communication Technology & Accessibility (ICTA); 2015, p1-7, 7p

Interoperability and Portability Approaches in Inter-Connected Clouds: A Review.

Authors: KAUR, KIRANBIR SHARMA, SANDEEP KAHLON, KARANJEET SINGH

Source: ACM Computing Surveys; Jul2018, Vol. 50 Issue 4, p49:1-49:40, 40p

Accelerated execution via eager-release of dependencies in task-based workflows.

Authors: Elshazly, Hatem Lordan, Francesc Ejarque, Jorge et al.

Source: International Journal of High Performance Computing Applications; Jul2021, Vol. 35 Issue 4, p325-343, 19p

Subject Terms: WORKFLOW, PYTHON programming language, WORKFLOW management systems, DEFAULT (Finance), PARALLEL programming

AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python.

Authors: Ramon-Cortes, Cristian Amela, Ramon Ejarque, Jorge et al.

Source: International Journal of High Performance Computing Applications; Nov2020, Vol. 34 Issue 6, p659-675, 17p

Subject Terms: PYTHON programming language, DISTRIBUTED computing, PARALLEL programming, PROGRAMMING languages, ALGORITHMS

A Taxonomy and Future Directions for Sustainable Cloud Computing: 360 Degree View.

Authors: GILL, SUKHPAL SINGH BUYYA, RAJKUMAR

Source: ACM Computing Surveys; Sep2019, Vol. 51 Issue 5, p1-33, 33p, 13 Diagrams, 2 Charts

Subject Terms: CLOUD computing, WASTE heat, WASTE recycling, ENERGY management, ECOLOGICAL impact, TAXONOMY

A hierarchic task-based programming model for distributed heterogeneous computing.

Authors: Ejarque, Jorge Domínguez, Marc Badia, Rosa M et al.

Source: International Journal of High Performance Computing Applications; Sep2019, Vol. 33 Issue 5, p987-997, 11p

Subject Terms: HETEROGENEOUS distributed computing, HETEROGENEOUS computing, DISTRIBUTED computing, PARALLEL processing, COMPUTING platforms, COMPUTER storage devices

Transparent Orchestration of Task-based Parallel Applications in Containers Platforms.

Authors: Ramon-Cortes, Cristian Serven, Albert Ejarque, Jorge et al.

Source: Journal of Grid Computing; Mar2018, Vol. 16 Issue 1, p137-160, 24p