E-LIB Suche - Ergebnisse für: Prades, Javier

1

NGS: A network GPGPU system for orchestrating remote and vi..:

Prades, Javier ; Reaño, Carlos ; Silla, Federico
Journal of Systems Architecture. 151 (2024) - p. 103138 , 2024

2

BODOQUE: An Energy-Efficient Flow Monitoring System for Eph..:

, In: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing,

Arratia, Benjamín ; Prades, Javier ; Peña-Haro, Salvador.. - p. 358-363 , 2023

Link: https://dl.acm.org/doi/1..

3

Using remote GPU virtualization techniques to enhance edge ..:

Cecilia, José M. ; Morales-García, Juan ; Imbernón, Baldomero...
Future Generation Computer Systems. 142 (2023) - p. 14-24 , 2023

Link: https://doi.org/10.1016/..

4

On the Acceleration of FaaS Using Remote GPU Virtualization:

, In: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering,

Naranjo Delgado, Diana M. ; Contreras, Manuel ; Moltó, Germán... - p. 157-164 , 2023

Link: https://dl.acm.org/doi/1..

5

Improving the performance of physics applications in atom-b..:

Silla, Federico ; Prades, Javier ; Baydal, Elvira.
Journal of Parallel and Distributed Computing. 137 (2020) - p. 160-178 , 2020

Link: https://doi.org/10.1016/..

6

GPU-Job Migration: The rCUDA Case:

Prades, Javier ; Silla, Federico
IEEE Transactions on Parallel and Distributed Systems. 30 (2019) 12 - p. 2718-2729 , 2019

Link: https://doi.org/10.1109/..

7

Analyzing the performance/power tradeoff of the rCUDA middl..:

Reaño, Carlos ; Prades, Javier ; Silla, Federico
Journal of Parallel and Distributed Computing. 132 (2019) - p. 344-362 , 2019

Link: https://doi.org/10.1016/..

8

Improving the management efficiency of GPU workloads in dat..:

Iserte, Sergio ; Prades, Javier ; Reaño, Carlos.
Concurrency and Computation: Practice and Experience. 33 (2019) 2 - p. , 2019

Link: https://doi.org/10.1002/..

9

Maximizing resource usage in multifold molecular dynamics w..:

Prades, Javier ; Imbernón, Baldomero ; Reaño, Carlos...
The International Journal of High Performance Computing Applications. 34 (2019) 1 - p. 5-19 , 2019

Link: https://doi.org/10.1177/..

10

Enhancing large-scale docking simulation on heterogeneous s..:

Imbernón, Baldomero ; Prades, Javier ; Giménez, Domingo..
Future Generation Computer Systems. 79 (2018) - p. 26-37 , 2018

Link: https://doi.org/10.1016/..

11

On the effect of using rCUDA to provide CUDA acceleration t..:

Prades, Javier ; Reaño, Carlos ; Silla, Federico
Cluster Computing. 22 (2018) 1 - p. 185-204 , 2018

Link: https://doi.org/10.1007/..

12

Increasing Molecular Dynamics Simulations Throughput by Vir..:

, In: Proceedings of the 47th International Conference on Parallel Processing Companion,

Prades, Javier ; Reaño, Carlos ; Silla, Federico... - p. 1-8 , 2018

Link: https://dl.acm.org/doi/1..

13

Leveraging rCUDA for Enhancing Low-Power Deployments in the..:

, In: Proceedings of the 47th International Conference on Parallel Processing Companion,

Silla, Federico ; Prades, Javier ; Reaño, Carlos - p. 1-8 , 2018

Link: https://dl.acm.org/doi/1..

14

Exploring the Use of Remote GPU Virtualization in Low-Power..:

, In: Proceedings of the 47th International Conference on Parallel Processing Companion,

Reaño, Carlos ; Prades, Javier ; Silla, Federico - p. 1-8 , 2018

Link: https://dl.acm.org/doi/1..

15

Made-to-Measure GPUs on Virtual Machines with rCUDA:

, In: Proceedings of the 47th International Conference on Parallel Processing Companion,

Prades, Javier ; Silla, Federico - p. 1-8 , 2018

Link: https://dl.acm.org/doi/1..