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Ruben Laso Rodríguez
Ruben Laso Rodríguez
Other namesRuben Laso
Research Group Parallel Computing, Faculty of Informatics, TU Wien
Verified email at tuwien.ac.at
Title
Cited by
Cited by
Year
CIMAR, NIMAR, and LMMA: Novel algorithms for thread and memory migrations in user space on NUMA systems using hardware counters
R Laso, OG Lorenzo, JC Cabaleiro, TF Pena, JÁ Lorenzo, FF Rivera
Future Generation Computer Systems 129, 18-32, 2022
42022
LBMA and IMAR2: Weighted lottery based migration strategies for NUMA multiprocessing servers
R Laso, OG Lorenzo, FF Rivera, JC Cabaleiro, TF Pena, JA Lorenzo
Concurrency and Computation: Practice and Experience 33 (11), e5950, 2021
32021
IHP: a dynamic heterogeneous parallel scheme for iterative or time-step methods—image denoising as case study
R Laso, JC Cabaleiro, FF Rivera, MC Muñiz, JA Álvarez-Dios
The Journal of Supercomputing 77 (1), 95-110, 2021
32021
A new hardware counters based thread migration strategy for NUMA systems
O García Lorenzo, R Laso Rodríguez, T Fernández Pena, ...
International Conference on Parallel Processing and Applied Mathematics, 205-216, 2019
22019
Load balanced heterogeneous parallelism for finite difference problems on image denoising
R Laso, JC Cabaleiro, F F. Rivera, MC Muñiz, JA Álvarez‐Dios
Computational and Mathematical Methods 3 (3), e1089, 2021
12021
Influence of Architectural Features of the SNC-4 Mode of the Intel Xeon Phi KNL on Matrix Multiplication
R Laso, FF Rivera, JC Cabaleiro
Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019
12019
Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys
M Yermo, R Laso, OG Lorenzo, TF Pena, JC Cabaleiro, FF Rivera, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024
2024
Assessing Intel OneAPI capabilities and cloud-performance for heterogeneous computing
SR Alcaraz, R Laso, OG Lorenzo, DL Vilariño, TF Pena, FF Rivera
The Journal of Supercomputing, 1-22, 2024
2024
pSTL-Bench: A Micro-Benchmark Suite for Assessing Scalability of C++ Parallel STL Implementations
R Laso, D Krupitza, S Hunold
arXiv preprint arXiv:2402.06384, 2024
2024
Assessing Intel OneAPI capabilities and cloud-performance for heterogeneous computing
S Rodríguez Alcaraz, R Laso Rodríguez, Ó García Lorenzo, ...
Springer, 2024
2024
Dynamic workload optimisation on NUMA and heterogeneous architectures
R Laso Rodríguez
Universidade de Santiago de Compostela, 2023
2023
What You Always Wanted To Know About C++ Performance Portability (But Were Afraid to Do)
R Laso, D Krupitza, S Hunold
Austrian-Slovenian HPC Meeting 2024–ASHPC24, 39, 0
CIMAR, NIMAR, and LMMA: novel algorithms for thread and memory migrations in user space on NUMA systems using hardware counters
R Laso Rodríguez, Ó García Lorenzo, JC Cabaleiro Domínguez, ...
Elsevier, 0
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