Követés
Sergio Iserte
Sergio Iserte
Post-doctoral Fellow @ Jaume I University (UJI), Spain
E-mail megerősítve itt: uji.es - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Remote gpu virtualization: Is it useful?
F Silla, J Prades, S Iserte, C Reano
2016 2nd IEEE International Workshop on High-Performance Interconnection …, 2016
412016
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
342014
Increasing the performance of data centers by combining remote GPU virtualization with Slurm
S Iserte, J Prades, C Reaño, F Silla
IEEE, 2016
242016
On the benefits of the remote GPU virtualization mechanism: The rCUDA case
F Silla, S Iserte, C Reano, J Prades
Concurrency and Computation: Practice and Experience 29 (13), e4072, 2017
172017
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
162017
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, 2011
142011
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
132018
Enabling GPU Virtualization in Cloud Environments.
S Iserte, FJ Clemente-Castelló, A Castelló, R Mayo, ES Quintana-Ortí
CLOSER (2), 249-256, 2016
112016
DMRlib: Easy-coding and efficient resource management for job malleability
S Iserte, R Mayo, ES Quintana-Orti, AJ Pena
IEEE Transactions on Computers 70 (9), 1443-1457, 2020
82020
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
82019
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
72018
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 (1), 255-274, 2020
62020
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
52021
Teaching on Demand: an HPC Experience
R Carratalá-Sáez, S Iserte, S Catalán
42019
Dynamic Management of Resource Allocation for OmpSs Jobs
S Iserte, AJ Peña, R Mayo, ES Quintana Ortí, V Beltran
42016
A simulator to assess energy saving strategies and policies in hpc workloads
MF Dolz, JC Fernández, S Iserte, R Mayo, ES Quintana-Ortí
ACM SIGOPS Operating Systems Review 46 (2), 2-9, 2012
42012
High-throughput Computation through Efficient Resource Management
S Iserte
Universitat Jaume I, 2018
32018
Malleability Implementation in a MPI Iterative Method
I Martín-Álvarez, JI Aliaga, MI Castillo, R Mayo, S Iserte
2021 IEEE International Conference on Cluster Computing (CLUSTER), 801-802, 2021
22021
A Distributed Mesh Generation Study Case through a Customizable Platform as a Service Framework
F Costa-Majó, P Barreda, S Iserte
Proceedings of the 11th International Conference on Simulation and Modeling …, 2021
22021
Benefits of remote GPU virtualization: the rCUDA perspective
F Silla, C Reaño, J Prades, S Iserte
GPU Technology Conference (GTC). Silicon Valley, California (USA), 2016
22016
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20