Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Ernesto Dufrechou"'
Autor:
Manuel Freire, Raul Marichal, Agustin Martinez, Daniel Padron, Ernesto Dufrechou, Pablo Ezzatti
Publikováno v:
Journal of Computer Science and Technology, Vol 24, Iss 1 (2024)
The significant presence that many-core devices like GPUs have these days, and their enormous computational power, motivates the study of sparse matrix operations in this hardware. The essential sparse kernels in scientific computing, such as the spa
Externí odkaz:
https://doaj.org/article/347217610fd54d38b8e9ff415451e42c
Publikováno v:
Micromachines, Vol 14, Iss 11, p 2030 (2023)
The widespread adoption of massively parallel processors over the past decade has fundamentally transformed the landscape of high-performance computing hardware. This revolution has recently driven the advancement of FPGAs, which are emerging as an a
Externí odkaz:
https://doaj.org/article/99974489c87742d298122b1205f97dbf
Publikováno v:
Journal of Computer Science and Technology, Vol 21, Iss 2, Pp e09-e09 (2021)
The dissemination of multi-core architectures and the later irruption of massively parallel devices, led to a revolution in High-Performance Computing (HPC) platforms in the last decades. As a result, Field-Programmable Gate Arrays (FPGAs) are re-eme
Externí odkaz:
https://doaj.org/article/159301d2831a42a0b90d6847d35a3dce
Autor:
Ernesto Dufrechou
Publikováno v:
CLEI Electronic Journal, Vol 24, Iss 1 (2021)
Many problems, in diverse areas of science and engineering, involve the solution of largescale sparse systems of linear equations. In most of these scenarios, they are also a computational bottleneck, and therefore their efficient solution on paralle
Externí odkaz:
https://doaj.org/article/cf900516b6334e27afbe4102fa203079
Autor:
Juan P. Silva, Ernesto Dufrechou, Pabl Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón, Peter Benner
Publikováno v:
CLEI Electronic Journal, Vol 19, Iss 1 (2016)
The high performance computing community has traditionally focused uniquely on the reduction of execution time, though in the last years, the optimization of energy consumption has become a main issue. A reduction of energy usage without a degradatio
Externí odkaz:
https://doaj.org/article/74b90c59bd384fc69822bc86d1420137
Publikováno v:
The Journal of Supercomputing.
Publikováno v:
2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI).
Publikováno v:
Concurrency and Computation: Practice and Experience.
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
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[EN] More than 10 years of research related to the development of efficient GPU routines for the sparse matrix-vector product (SpMV) have led to several realizations, each with its own strengths and weaknesses. In this work, we review some of the mos
Publikováno v:
COLIBRI
Universidad de la República
instacron:Universidad de la República
Communications in Computer and Information Science ISBN: 9783031238208
Universidad de la República
instacron:Universidad de la República
Communications in Computer and Information Science ISBN: 9783031238208
Conference proceedings 2022 High Performance Computing. 9th Latin American Conference, CARLA 2022, Porto Alegre, Brazil, 26-30 sep 2022, Revised Selected Papers. Numerical Linear Algebra (NLA) is a research field that in the last decades has been cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3443ad762469c8fd9989f3e7fe652fe3
https://link.springer.com/chapter/10.1007/978-3-031-23821-5_6
https://link.springer.com/chapter/10.1007/978-3-031-23821-5_6