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

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

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

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

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