Ruben Laso

According to our database, Ruben Laso authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Assessing Intel OneAPI capabilities and cloud-performance for heterogeneous computing.

Silvia R. Alcaraz, Ruben Laso, Oscar G. Lorenzo, David López Vilariño, Tomás F. Pena, Francisco F. Rivera

J. Supercomput., June, 2024

Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys.

Miguel Yermo, Ruben Laso, Oscar G. Lorenzo, Tomás F. Pena, José Carlos Cabaleiro, Francisco F. Rivera, David López Vilariño

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

pSTL-Bench: A Micro-Benchmark Suite for Assessing Scalability of C++ Parallel STL Implementations.

Ruben Laso, Diego Krupitza, Sascha Hunold

CoRR, 2024

Exploring Scalability in C++ Parallel STL Implementations.

Ruben Laso, Diego Krupitza, Sascha Hunold

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2022

CIMAR, NIMAR, and LMMA: Novel algorithms for thread and memory migrations in user space on NUMA systems using hardware counters.

Ruben Laso, Oscar G. Lorenzo, José Carlos Cabaleiro, Tomás F. Pena, Juan Angel Lorenzo, Francisco F. Rivera

Future Gener. Comput. Syst., 2022

2021

IHP: a dynamic heterogeneous parallel scheme for iterative or time-step methods - image denoising as case study.

Ruben Laso, José Carlos Cabaleiro, Francisco F. Rivera, M. Carmen Muñiz, José A. Álvarez-Dios

J. Supercomput., 2021

LBMA and IMAR2: Weighted lottery based migration strategies for NUMA multiprocessing servers.

Ruben Laso, Oscar G. Lorenzo, Francisco F. Rivera, José Carlos Cabaleiro, Tomás F. Pena, Juan Ángel Lorenzo del Castillo

Concurr. Comput. Pract. Exp., 2021

Load balanced heterogeneous parallelism for finite difference problems on image denoising.

Ruben Laso, José Carlos Cabaleiro, Francisco F. Rivera, M. Carmen Muñiz, José A. Álvarez-Dios

Comput. Math. Methods, 2021

2019

A New Hardware Counters Based Thread Migration Strategy for NUMA Systems.

Oscar García Lorenzo, Ruben Laso Rodríguez, Tomás Fernández Pena, José Carlos Cabaleiro Domínguez, Francisco Fernandez Rivera, Juan Ángel Lorenzo del Castillo

Proceedings of the Parallel Processing and Applied Mathematics, 2019

Influence of Architectural Features of the SNC-4 Mode of the Intel Xeon Phi KNL on Matrix Multiplication.

Ruben Laso, Francisco F. Rivera, José Carlos Cabaleiro

Proceedings of the Computational Science - ICCS 2019, 2019