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Improving the performance of physics applications in atom-based clusters with rCUDA

Autor: E. Baydal, Javier Prades, Federico Silla, Carlos Reaño

Publikováno v: Silla, F, Prades, J, Baydal, E & Reaño, C 2020, ' Improving the performance of physics applications in atom-based clusters with rCUDA ', Journal of Parallel and Distributed Computing, vol. 137, pp. 160-178 . https://doi.org/10.1016/j.jpdc.2019.11.007
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] Traditionally, High-Performance Computing (HPC) has been associated with large power requirements. The reason was that chip makers of the processors typically employed in HPC deployments have always focused on getting the highest performance fro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::358bfa1d48770b53736590a55e2a748c
https://doi.org/10.1016/j.jpdc.2019.11.007

Improving the management efficiency of GPU workloads in data centers through GPU virtualization

Autor: Javier Prades, Sergio Iserte, Carlos Reaño, Federico Silla

Publikováno v: Iserte, S, Prades, J, Reaño, C & Silla, F 2019, ' Improving the management efficiency of GPU workloads in data centers through GPU virtualization ', Concurrency Computation, pp. 1-16 . https://doi.org/10.1002/cpe.5275
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Repositori Universitat Jaume I
Universitat Jaume I

[EN] Graphics processing units (GPUs) are currently used in data centers to reduce the execution time of compute-intensive applications. However, the use of GPUs presents several side effects, such as increased acquisition costs and larger space requ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e74dd4032ebd1cea07960465b1701d6f
https://pure.qub.ac.uk/en/publications/improving-the-management-efficiency-of-gpu-workloads-in-data-centers-through-gpu-virtualization(1533df08-3e38-4505-ae2d-b9c26dcc178d).html

Multi-tenant virtual GPUs for optimising performance of a financial risk application

Autor: Federico Silla, Carlos Reaño, Javier Prades, Blesson Varghese

Publikováno v: Prades, J, Varghese, B, Reano, C & Silla, F 2017, ' Multi-tenant virtual GPUs for optimising performance of a financial risk application ', Journal of Parallel and Distributed Computing, vol. 108, pp. 28-44 . https://doi.org/10.1016/j.jpdc.2016.06.002
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

Graphics Processing Units (GPUs) are becoming popular accelerators in modern High-Performance Computing (HPC) clusters. Installing GPUs on each node of the cluster is not efficient resulting in high costs and power consumption as well as underutilisa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7d4b8cd979cbfe815323eb876c363b0
https://doi.org/10.1016/j.jpdc.2016.06.002

Evaluación del uso de GPUs virtualizadas en sistemas de bajo consumo

Autor: Palop Campos, Javier

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[ES] El trabajo que a continuación se presenta, estudia el rendimiento y las prestaciones de ejecutar ciertas aplicaciones en distintos equipos, entre ellos uno de bajo consumo, utilizando su hardware local, así como su ejecución utilizando una GP

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3c08c3a5c6f4a7e838b1d5b0dd210be4
https://hdl.handle.net/10251/110187