Javier Prades

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 27

Top Topics

Molecular Dynamics

Virtual Machine

Top Venues

J. Parallel Distributed Comput.

Future Gener. Comput. Syst.

Publications

Javier Prades, Carlos Reaño, Federico Silla
NGS: A network GPGPU system for orchestrating remote and virtual accelerators. J. Syst. Archit. 151 (2024)
Diana M. Naranjo Delgado, Manuel Contreras, Germán Moltó, Sebastián Risco, Ignacio Blanquer, Javier Prades, Federico Silla
On the Acceleration of FaaS Using Remote GPU Virtualization. ICPE (Companion) (2023)
José M. Cecilia, Juan Morales-García, Baldomero Imbernón, Javier Prades, Juan-Carlos Cano, Federico Silla
Using remote GPU virtualization techniques to enhance edge computing devices. Future Gener. Comput. Syst. 142 (2023)
Benjamín Arratia, Javier Prades, Salvador Peña-Haro, José Maria Cecilia, Pietro Manzoni
BODOQUE: An Energy-Efficient Flow Monitoring System for Ephemeral Streams. MobiHoc (2023)
Sergio Iserte, Javier Prades, Carlos Reaño, Federico Silla
Improving the management efficiency of GPU workloads in data centers through GPU virtualization. Concurr. Comput. Pract. Exp. 33 (2) (2021)
Javier Prades, Baldomero Imbernón, Carlos Reaño, Jorge Peña-García, José Pedro Cerón-Carrasco, Federico Silla, Horacio Pérez Sánchez
Maximizing resource usage in multifold molecular dynamics with rCUDA. Int. J. High Perform. Comput. Appl. 34 (1) (2020)
Federico Silla, Javier Prades, Elvira Baydal, Carlos Reaño
Improving the performance of physics applications in atom-based clusters with rCUDA. J. Parallel Distributed Comput. 137 (2020)
Carlos Reaño, Javier Prades, Federico Silla
Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems. J. Parallel Distributed Comput. 132 (2019)
Javier Prades, Federico Silla
GPU-Job Migration: The rCUDA Case. IEEE Trans. Parallel Distributed Syst. 30 (12) (2019)
Javier Prades, Carlos Reaño, Federico Silla
On the effect of using rCUDA to provide CUDA acceleration to Xen virtual machines. Clust. Comput. 22 (1) (2019)
Federico Silla, Javier Prades, Carlos Reaño
Leveraging rCUDA for Enhancing Low-Power Deployments in the Physics Domain. ICPP Workshops (2018)
Javier Prades, Carlos Reaño, Federico Silla, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia
Increasing Molecular Dynamics Simulations Throughput by Virtualizing Remote GPUs with rCUDA. ICPP Workshops (2018)
Javier Prades, Federico Silla
Made-to-Measure GPUs on Virtual Machines with rCUDA. ICPP Workshops (2018)
Baldomero Imbernón, Javier Prades, Domingo Giménez, José M. Cecilia, Federico Silla
Enhancing large-scale docking simulation on heterogeneous systems: An MPI vs rCUDA study. Future Gener. Comput. Syst. 79 (2018)
Carlos Reaño, Javier Prades, Federico Silla
Improving the Efficiency of Future Exascale Systems with rCUDA. HiPINEB@HPCA (2018)
Carlos Reaño, Javier Prades, Federico Silla
Exploring the Use of Remote GPU Virtualization in Low-Power Systems for Bioinformatics Applications. ICPP Workshops (2018)
Javier Prades, Federico Silla
A Live Demo for Showing the Benefits of Applying the Remote GPU Virtualization Technique to Cloud Computing. CCGrid (2017)
Federico Silla, Sergio Iserte, Carlos Reaño, Javier Prades
On the benefits of the remote GPU virtualization mechanism: The rCUDA case. Concurr. Comput. Pract. Exp. 29 (13) (2017)
Javier Prades, Federico Silla
Turning GPUs into Floating Devices over the Cluster: The Beauty of GPU Migration. ICPP Workshops (2017)
Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla
Multi-tenant virtual GPUs for optimising performance of a financial risk application. J. Parallel Distributed Comput. 108 (2017)
Sergio Iserte, Javier Prades, Carlos Reaño, Federico Silla
Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm. CCGrid (2016)
Javier Prades, Carlos Reaño, Federico Silla
CUDA acceleration for Xen virtual machines in infiniband clusters with rCUDA. PPOPP (2016)
Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla
Multi-Tenant Virtual GPUs for Optimising Performance of a Financial Risk Application. CoRR (2016)
Federico Silla, Javier Prades, Sergio Iserte, Carlos Reaño
Remote GPU Virtualization: Is It Useful? HiPINEB@HPCA (2016)
Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application. CoRR (2015)
Javier Prades, Federico Silla, Holger Fröning, Mondrian Nüssle, José Duato
On the design of a new dynamic credit-based end-to-end flow control mechanism for HPC clusters. Parallel Comput. 46 (2015)
Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application. e-Science (2015)
Sergio Iserte, Adrián Castelló, Rafael Mayo, Enrique S. Quintana-Ortí, Federico Silla, José Duato, Carlos Reaño, Javier Prades
SLURM Support for Remote GPU Virtualization: Implementation and Performance Study. SBAC-PAD (2014)
Javier Prades, Federico Silla, José Duato, Holger Fröning, Mondrian Nüssle
A New End-to-End Flow-Control Mechanism for High Performance Computing Clusters. CLUSTER (2012)