Javier Prades

32 papers B 5C 2Journal 17Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing the performance of GPU acceleration in virtual environments: Thoroughly benchmarking the rigidity of mediated device passthrough.
Future Gener. Comput. Syst.
Javier Prades, Carlos Reaño, Federico Silla
2025 J jnl
Edge-enabled GNSS-IR for efficient water level monitoring in harsh environments.
Internet Things
Erika Rosas, Benjamín Arratia, Angel Martín Furones, Javier Prades, Pietro Manzoni, José M. Cecilia
2025 J jnl
Towards efficient stream monitoring: A systematic approach for model selection and continuous improvement in Tiny Machine Learning applications.
Eng. Appl. Artif. Intell.
Benjamín Arratia, Erika Rosas, Javier Prades, Salvador Peña-Haro, José M. Cecilia, Pietro Manzoni
2024 J jnl
NGS: A network GPGPU system for orchestrating remote and virtual accelerators.
J. Syst. Archit.
Javier Prades, Carlos Reaño, Federico Silla
2023 B conf
BODOQUE: An Energy-Efficient Flow Monitoring System for Ephemeral Streams.
MobiHoc
Benjamín Arratia, Javier Prades, Salvador Peña-Haro, José Maria Cecilia, Pietro Manzoni
2023 — conf
On the Acceleration of FaaS Using Remote GPU Virtualization.
ICPE (Companion)
Diana M. Naranjo Delgado, Manuel Contreras, Germán Moltó, Sebastián Risco, Ignacio Blanquer, Javier Prades, Federico Silla
2023 J jnl
Using remote GPU virtualization techniques to enhance edge computing devices.
Future Gener. Comput. Syst.
José M. Cecilia, Juan Morales-García, Baldomero Imbernón, Javier Prades, Juan-Carlos Cano, Federico Silla
2021 J jnl
Improving the management efficiency of GPU workloads in data centers through GPU virtualization.
Concurr. Comput. Pract. Exp.
Sergio Iserte, Javier Prades, Carlos Reaño, Federico Silla
2020 J jnl
Improving the performance of physics applications in atom-based clusters with rCUDA.
J. Parallel Distributed Comput.
Federico Silla, Javier Prades, Elvira Baydal, Carlos Reaño
2020 J jnl
Maximizing resource usage in multifold molecular dynamics with rCUDA.
Int. J. High Perform. Comput. Appl.
Javier Prades, Baldomero Imbernón, Carlos Reaño, Jorge Peña-García, José Pedro Cerón-Carrasco, Federico Silla, Horacio Pérez Sánchez
2019 J jnl
Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems.
J. Parallel Distributed Comput.
Carlos Reaño, Javier Prades, Federico Silla
2019 J jnl
GPU-Job Migration: The rCUDA Case.
IEEE Trans. Parallel Distributed Syst.
Javier Prades, Federico Silla
2019 J jnl
On the effect of using rCUDA to provide CUDA acceleration to Xen virtual machines.
Clust. Comput.
Javier Prades, Carlos Reaño, Federico Silla
2018 J jnl
Enhancing large-scale docking simulation on heterogeneous systems: An MPI vs rCUDA study.
Future Gener. Comput. Syst.
Baldomero Imbernón, Javier Prades, Domingo Giménez, José M. Cecilia, Federico Silla
2018 — conf
Exploring the Use of Remote GPU Virtualization in Low-Power Systems for Bioinformatics Applications.
ICPP Workshops
Carlos Reaño, Javier Prades, Federico Silla
2018 — conf
Improving the Efficiency of Future Exascale Systems with rCUDA.
HiPINEB@HPCA
Carlos Reaño, Javier Prades, Federico Silla
2018 — conf
Increasing Molecular Dynamics Simulations Throughput by Virtualizing Remote GPUs with rCUDA.
ICPP Workshops
Javier Prades, Carlos Reaño, Federico Silla, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia
2018 — conf
Leveraging rCUDA for Enhancing Low-Power Deployments in the Physics Domain.
ICPP Workshops
Federico Silla, Javier Prades, Carlos Reaño
2018 — conf
Made-to-Measure GPUs on Virtual Machines with rCUDA.
ICPP Workshops
Javier Prades, Federico Silla
2017 B conf
A Live Demo for Showing the Benefits of Applying the Remote GPU Virtualization Technique to Cloud Computing.
CCGrid
Javier Prades, Federico Silla
2017 J jnl
Multi-tenant virtual GPUs for optimising performance of a financial risk application.
J. Parallel Distributed Comput.
Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla
2017 J jnl
On the benefits of the remote GPU virtualization mechanism: The rCUDA case.
Concurr. Comput. Pract. Exp.
Federico Silla, Sergio Iserte, Carlos Reaño, Javier Prades
2017 — conf
Turning GPUs into Floating Devices over the Cluster: The Beauty of GPU Migration.
ICPP Workshops
Javier Prades, Federico Silla
2016 B conf
CUDA acceleration for Xen virtual machines in infiniband clusters with rCUDA.
PPoPP
Javier Prades, Carlos Reaño, Federico Silla
2016 B conf
Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm.
CCGrid
Sergio Iserte, Javier Prades, Carlos Reaño, Federico Silla
2016 J jnl
Multi-Tenant Virtual GPUs for Optimising Performance of a Financial Risk Application.
CoRR
Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla
2016 — conf
Remote GPU Virtualization: Is It Useful?
HiPINEB@HPCA
Federico Silla, Javier Prades, Sergio Iserte, Carlos Reaño
2015 B conf
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application.
e-Science
Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla
2015 J jnl
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application.
CoRR
Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla
2015 J jnl
On the design of a new dynamic credit-based end-to-end flow control mechanism for HPC clusters.
Parallel Comput.
Javier Prades, Federico Silla, Holger Fröning, Mondrian Nüssle, José Duato
2014 C conf
SLURM Support for Remote GPU Virtualization: Implementation and Performance Study.
SBAC-PAD
Sergio Iserte, Adrián Castelló, Rafael Mayo, Enrique S. Quintana-Ortí, Federico Silla, José Duato, Carlos Reaño, Javier Prades
2012 C conf
A New End-to-End Flow-Control Mechanism for High Performance Computing Clusters.
CLUSTER
Javier Prades, Federico Silla, José Duato, Holger Fröning, Mondrian Nüssle