Unleashing the performance of bmSparse for the sparse matrix multiplication in GPUs. - Gonzalo Berger; Manuel Freire 002; Renzo Marini; Ernesto Dufrechou; Pablo Ezzatti (ScalA@SC, 2021)

Machine learning for optimal selection of sparse triangular system solvers on GPUs. - Ernesto Dufrechou; Pablo Ezzatti; Manuel Freire 002; Enrique S. Quintana-Ortí (J. Parallel Distributed Comput., 2021)

Enhancing the Sparse Matrix Storage Using Reordering Techniques. - Manuel Freire 002; Raúl Marichal; Sanderson L. Gonzaga de Oliveira; Ernesto Dufrechou; Pablo Ezzatti (CARLA, 2023)

Towards Reducing Communications in Sparse Matrix Kernels. - Manuel Freire 002; Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti (JCC-BD&ET, 2023)

Trajectory-based Metaheuristics for Improving Sparse Matrix Storage. - Manuel Freire 002; Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti; Martín Pedemonte (LA-CCI, 2023)

Advancing on an efficient sparse matrix multiplication kernel for modern GPUs. - Gonzalo Berger; Manuel Freire 002; Renzo Marini; Ernesto Dufrechou; Pablo Ezzatti (Concurr. Comput. Pract. Exp., 2023)

A GPU method for the analysis stage of the SPTRSV kernel. - Manuel Freire 002; Juan Ferrand; Franco Seveso; Ernesto Dufrechou; Pablo Ezzatti (J. Supercomput., 2023)

A new level-set analysis and sparse storage format for the SPTRSV in GPUs. - Manuel Freire 002; Ernesto Dufrechou; Pablo Ezzatti (SBAC-PAD, 2024)

Leveraging index compression techniques to optimize the use of co-processors. - Manuel Freire 002; Raúl Marichal; Agustin Martinez; Daniel Padron; Ernesto Dufrechou; Pablo Ezzatti (J. Comput. Sci. Technol., 2024)

A synchronization-free incomplete LU factorization for GPUs with level-set analysis. - Manuel Freire 002; Ernesto Dufrechou; Pablo Ezzatti (PDP, 2025)