Remote gpu virtualization: Is it useful? F Silla, J Prades, S Iserte, C Reano 2016 2nd IEEE international workshop on high-performance interconnection …, 2016 | 43 | 2016 |
SLURM support for remote GPU virtualization: Implementation and performance study S Iserte, A Castelló, R Mayo, ES Quintana-Ortí, F Silla, J Duato, C Reaño, ... 2014 IEEE 26th International Symposium on Computer Architecture and High …, 2014 | 34 | 2014 |
DMRlib: easy-coding and efficient resource management for job malleability S Iserte, R Mayo, ES Quintana-Ortí, AJ Pena IEEE Transactions on Computers 70 (9), 1443-1457, 2020 | 32 | 2020 |
On the benefits of the remote GPU virtualization mechanism: The rCUDA case F Silla, S Iserte, C Reaño, J Prades Concurrency and Computation: Practice and Experience 29 (13), e4072, 2017 | 30 | 2017 |
Increasing the performance of data centers by combining remote GPU virtualization with Slurm S Iserte, J Prades, C Reaño, F Silla IEEE, 2016 | 30 | 2016 |
Efficient scalable computing through flexible applications and adaptive workloads S Iserte, R Mayo, ES Quintana-Ortí, V Beltran, AJ Peña 2017 46th International Conference on Parallel Processing Workshops (ICPPW …, 2017 | 27 | 2017 |
DMR API: Improving cluster productivity by turning applications into malleable S Iserte, R Mayo, ES Quintana-Ortí, V Beltran, AJ Peña Parallel Computing 78, 54-66, 2018 | 25 | 2018 |
A survey on malleability solutions for high-performance distributed computing JI Aliaga, M Castillo, S Iserte, I Martín-Álvarez, R Mayo Applied Sciences 12 (10), 5231, 2022 | 16 | 2022 |
Dynamic reconfiguration of noniterative scientific applications: A case study with HPG aligner S Iserte, H Martínez, S Barrachina, M Castillo, R Mayo, AJ Peña The International Journal of High Performance Computing Applications 33 (5 …, 2019 | 15 | 2019 |
EnergySaving Cluster experience in CETA-CIEMAT MF Dolz, JC Fernández, S Iserte, R Mayo, ES Quintana-Ortí, ME Cotallo, ... 5th Iberian Grid Infrastructure Conference, Santander, Spain, 39-50, 2011 | 14 | 2011 |
Enabling GPU Virtualization in Cloud Environments. S Iserte, FJ Clemente-Castelló, A Castelló, R Mayo, ES Quintana-Ortí CLOSER (2), 249-256, 2016 | 13 | 2016 |
An study of the effect of process malleability in the energy efficiency on GPU-based clusters S Iserte, K Rojek The Journal of Supercomputing 76, 255-274, 2020 | 12 | 2020 |
Improving the management efficiency of GPU workloads in data centers through GPU virtualization S Iserte, J Prades, C Reaño, F Silla Concurrency and Computation: Practice and Experience 33 (2), e5275, 2021 | 10 | 2021 |
High-throughput Computation through Efficient Resource Management S Iserte Universitat Jaume I, 2018 | 10 | 2018 |
Gsaas: A service to cloudify and schedule gpus S Iserte, R Peña-Ortiz, J Gutiérrez-Aguado, JM Claver, R Mayo IEEE Access 6, 39762-39774, 2018 | 7 | 2018 |
Accelerating urban scale simulations leveraging local spatial 3D structure S Iserte, A Macías, R Martínez-Cuenca, S Chiva, R Paredes, ... Journal of Computational Science 62, 101741, 2022 | 6 | 2022 |
Teaching on Demand: an HPC Experience R Carratalá-Sáez, S Iserte, S Catalán | 6 | 2019 |
Dynamic Management of Resource Allocation for OmpSs Jobs S Iserte, AJ Peña, R Mayo, ES Quintana Ortí, V Beltran | 6 | 2016 |
Dynamic spawning of MPI processes applied to malleability I Martín-Álvarez, JI Aliaga, M Castillo, S Iserte, R Mayo The International Journal of High Performance Computing Applications 38 (2 …, 2024 | 5 | 2024 |
Modeling of Wastewater Treatment Processes with HydroSludge S Iserte, P Carratalà, R Arnau, R Martínez‐Cuenca, P Barreda, L Basiero, ... Water Environment Research, 2021 | 5 | 2021 |