Empirical Autotuning of Two-level Parallel Linear Algebra Routines on Large cc-NUMA Systems. - Jesús Cámara; Javier Cuenca 001; Domingo Giménez; Antonio M. Vidal (ISPA, 2012)

Empirical Modelling of Linear Algebra Shared-Memory Routines. - Jesús Cámara; Javier Cuenca 001; Luis-Pedro García; Domingo Giménez (ICCS, 2013)

Empirical Installation of Linear Algebra Shared-Memory Subroutines for Auto-Tuning. - Jesús Cámara; Javier Cuenca 001; Domingo Giménez; Luis-Pedro García; Antonio M. Vidal (Int. J. Parallel Program., 2014)

Auto-tuned nested parallelism: A way to reduce the execution time of scientific software in NUMA systems. - Jesús Cámara; Javier Cuenca 001; Luis-Pedro García; Domingo Giménez (Parallel Comput., 2014)

On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures. - Emmanuel Agullo; Jesús Cámara; Javier Cuenca 001; Domingo Giménez (PARCO, 2019)

Integrating software and hardware hierarchies in an autotuning method for parallel routines in heterogeneous clusters. - Jesús Cámara; Javier Cuenca 001; Domingo Giménez (J. Supercomput., 2020)

EduPar Virtual Poster Session. - Jesús Cámara; José-Carlos Cano; Javier Cuenca 001; Toshiyuki Maeda; Mariano Saura-Sánchez; Lewis Tseng; Akiyoshi Wakatani; Martina Barnas (IPDPS Workshops, 2021)

PARCSIM: a parallel computing simulator for scalable software optimization. - Jesús Cámara; José-Carlos Cano; Javier Cuenca 001; Mariano Saura-Sánchez (J. Supercomput., 2022)

Improving the Performance of Task-Based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures. - Jesús Cámara; Javier Cuenca 001; Murilo Boratto (ICCS (1), 2023)

DNA sequence alignment: An assignment for OpenMP, MPI, and CUDA/OpenCL. - Arturo González-Escribano; Diego García-Álvarez; Jesús Cámara (CoRR, 2024)

An autotuning approach to select the inter-GPU communication library on heterogeneous systems. - Jesús Cámara; Javier Cuenca 001; Victor Galindo; Arturo Vicente; Murilo Boratto (J. Supercomput., 2025)