Zobrazeno 1 - 10 of 28 pro vyhledávání: '"Marta Garcia-Gasulla"'
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Akademický článek
Performance Comparison of CFD Microbenchmarks on Diverse HPC Architectures
Autor: Flavio C. C. Galeazzo, Marta Garcia-Gasulla, Elisabetta Boella, Josep Pocurull, Sergey Lesnik, Henrik Rusche, Simone Bnà, Matteo Cerminara, Federico Brogi, Filippo Marchetti, Daniele Gregori, R. Gregor Weiß, Andreas Ruopp
Publikováno v: Computers, Vol 13, Iss 5, p 115 (2024)
OpenFOAM is a CFD software widely used in both industry and academia. The exaFOAM project aims at enhancing the HPC scalability of OpenFOAM, while identifying its current bottlenecks and proposing ways to overcome them. For the assessment of the soft
Externí odkaz: https://doaj.org/article/7db566b5ac56428bbff8db0aa44afd9d
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2
Akademický článek
Top-Down Models across CPU Architectures: Applicability and Comparison in a High-Performance Computing Environment
Autor: Fabio Banchelli, Marta Garcia-Gasulla, Filippo Mantovani
Publikováno v: Information, Vol 14, Iss 10, p 554 (2023)
Top-Down models are defined by hardware architects to provide information on the utilization of different hardware components. The target is to isolate the users from the complexity of the hardware architecture while giving them insight into how effi
Externí odkaz: https://doaj.org/article/55f41feb566043159e01811bb2f9a33b
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3
Hybrid parallelization of molecular dynamics simulations to reduce load imbalance
Autor: Julian Morillo, Maxime Vassaux, Peter V. Coveney, Marta Garcia-Gasulla
Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The most widely used technique to allow for parallel simulations in molecular dynamics is spatial domain decomposition, where the physical geometry is divided into boxes, one per processor. This technique can inherently produce computational load imb
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::294f4f4f0ef54a48ef77bf344ee7a7cb
https://doi.org/10.1007/s11227-021-04214-4
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4
Parallel Multiphysics Coupling: Algorithmic and Computational Performances
Autor: Marta Garcia-Gasulla, R. Borrell, J.C. Cajas, Mariano Vázquez, Alfonso Santiago, Charles Moulinec, Guillaume Houzeaux
Publikováno v: International Journal of Computational Fluid Dynamics. 34:486-507
Multiphysics problems involve the couplings of different sets of partial differential equations. Partitioned methods consider the individual solutions of each set, which upon iterating, converge to...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::faed6f0176ff2567b8655e422d635e7d
https://doi.org/10.1080/10618562.2020.1783440
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6
knowlEdge Project –Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0
Autor: Claudio Pastrone, Sergio Alvarez-Napagao, Alexander Grass, Dimosthenis Ioannidis, Alexandros Nizamis, Fabian Berns, Nicola Ciulli, Natalia Jakubiak, Ilaria Bosi, Pedro Megias, Marta Garcia-Gasulla, Marta Barroso, Boki Ashmore, Ville Lamsa, Christian Beecks, Sisay Adugna Chala, Miquel Sànchez-Marrè, Cristian Barrue, Luca Ziliotti, Rosaria Rossini, Karl Kopke
Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
INDIN
Alvarez-Napagao, S, Ashmore, B, Barroso, M, Barrué, C, Beecks, C, Berns, F, Bosi, I, Chala, S A, Ciulli, N, Garcia-Gasulla, M, Grass, A, Ioannidis, D, Jakubiak, N, Köpke, K, Lämsä, V, Megias, P, Nizamis, A, Pastrone, C, Rossini, R, Sànchez-Marrè, M & Ziliotti, L 2021, knowlEdge Project –Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0 . in Proceedings-2021 IEEE 19th International Conference on Industrial Informatics, INDIN 2021 ., 9557410, Wiley-IEEE Press, 2021 IEEE 19th International Conference on Industrial Informatics, INDIN 2021, 21/07/21 . https://doi.org/10.1109/INDIN45523.2021.9557410
AI is one of the biggest megatrends towards the 4th industrial revolution. Although these technologies promise business sustainability as well as product and process quality, it seems that the ever-changing market demands, the complexity of technolog
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::167d9f54b3a8621054127ea823887863
https://doi.org/10.1109/INDIN45523.2021.9557410
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7
An OpenMP free agent threads implementation
Autor: Xavier Teruel, Marta Garcia-Gasulla, Victor Lopez, Roger Ferrer, Raul Peñacoba, Joel Criado
Publikováno v: IWOMP 2021: OpenMP: Enabling Massive Node-Level Parallelism
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
OpenMP: Enabling Massive Node-Level Parallelism ISBN: 9783030852610
IWOMP
Lecture Notes in Computer Science
Lecture Notes in Computer Science-OpenMP: Enabling Massive Node-Level Parallelism
In this paper, we introduce a design and implementation of the free agent threads for OpenMP. These threads increase the malleability of the OpenMP programming model, offering resource managers and runtime systems flexibility to manage threads and re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc1a6c107d068836607f10acdf79c42f
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8
TALP - A Lightweight Tool to Unveil Parallel Efficiency of Large-scale Executions
Autor: Marta Garcia-Gasulla, Victor Lopez, Guillem Ramirez Miranda
Publikováno v: Proceedings of the 2021 on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn STrategy
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
This paper presents the design, implementation, and application of TALP, a lightweight, portable, extensible, and scalable tool for online parallel performance measurement. The efficiency metrics reported by TALP allow HPC users to evaluate the paral
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecb169a7e558835cea0d81d8833f6845
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9
Cluster of emerging technology: evaluation of a production HPC system based on A64FX
Autor: David Vicente, Joan Vinyals, Guillem Ramirez-Gargallo, Filippo Mantovani, Fabio Banchelli, Marta Garcia-Gasulla, Kilian Peiro
Publikováno v: 2021 IEEE International Conference on Cluster Computing (CLUSTER)
CLUSTER
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Clusters of emerging technologies are appearing with more and more frequency in HPC. After years of skepticism, data-centers are adopting them as production systems thanks to several geopolitical and technological factors. The most honorable example
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a07e25d9d23d5ade329d74a4ac93921
https://hdl.handle.net/2117/357083
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10
Size & shape matters: The need of HPC benchmarks of high resolution image training for deep learning
Autor: Marta Garcia-Gasulla, Jesús Labarta, Ferran Parés Pont, Pedro Megias, Dario Garcia-Gasulla, Eduard Ayguadé
Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
One of the purposes of HPC benchmarks is to identify limitations and bottlenecks in hardware. This functionality is particularly influential when assessing performance on emerging tasks, the nature and requirements of which may not yet be fully under
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a7a0937a436955b2467d8622e567510
http://hdl.handle.net/2117/349274
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