Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Federico Silla"'
Publikováno v:
IEEE Access, Vol 12, Pp 32706-32723 (2024)
Compression algorithms are widely used to reduce data size and improve application performance. Nevertheless, data compression has a computational cost which can limit its use. GPUs could be leveraged to reduce compression time. However, existing GPU
Externí odkaz:
https://doaj.org/article/51060b635ac045e0aa8ff32abaf67eff
Publikováno v:
Sensors, Vol 24, Iss 14, p 4649 (2024)
GPUs are commonly used to accelerate the execution of applications in domains such as deep learning. Deep learning applications are applied to an increasing variety of scenarios, with edge computing being one of them. However, edge devices present se
Externí odkaz:
https://doaj.org/article/10fb7ec42746495a84d943fb1d108263
Autor:
José M. Cecilia, Juan Morales-García, Baldomero Imbernón, Javier Prades, Juan-Carlos Cano, Federico Silla
Publikováno v:
Future Generation Computer Systems. 142:14-24
Publikováno v:
IEEE Internet of Things Journal. 9:7286-7297
Climate change is one of the greatest challenges for modern societies. Its consequences, often associated with extreme events, have dramatic results worldwide. New synergies between different disciplines including Artificial Intelligence (AI), Intern
Autor:
Diana M. Naranjo Delgado, Manuel Contreras, Germán Moltó, Sebastián Risco, Ignacio Blanquer, Javier Prades, Federico Silla
Publikováno v:
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering.
Publikováno v:
Concurrency and Computation: Practice and Experience.
Publikováno v:
Workshop Proceedings of the 51st International Conference on Parallel Processing.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031154706
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eea0ee60445b691bbf2f4413ccf68f94
https://doi.org/10.1007/978-3-031-15471-3_21
https://doi.org/10.1007/978-3-031-15471-3_21
Publikováno v:
Concurrency and Computation: Practice and Experience.
Autor:
Carlos Reaño, Federico Silla
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Reaño, C & Silla, F 2019, ' Redesigning the rCUDA Communication Layer for a Better Adaptation to the Underlying Hardware ', Concurrency and Computation: Practice and Experience . https://doi.org/10.1002/cpe.5481
instname
Reaño, C & Silla, F 2019, ' Redesigning the rCUDA Communication Layer for a Better Adaptation to the Underlying Hardware ', Concurrency and Computation: Practice and Experience . https://doi.org/10.1002/cpe.5481
[EN] The use of Graphics Processing Units (GPUs) has become a very popular way to accelerate the execution of many applications. However, GPUs are not exempt from side effects. For instance, GPUs are expensive devices which additionally consume a non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2ca1dee1d48fb26896f77e7378538c0