Machine learning for optimal selection of sparse triangular system solvers on GPUs

E Dufrechou, P Ezzatti, M Freire… - Journal of Parallel and …, 2021 - Elsevier
Many numerical algorithms for science and engineering applications require the solution of
sparse triangular linear systems (sptrsv) as their most costly stage. For this reason …

A GPU method for the analysis stage of the SPTRSV kernel

M Freire, J Ferrand, F Seveso, E Dufrechou… - The Journal of …, 2023 - Springer
The solution of sparse triangular linear systems of equations (SPTRSV) is often the main
computational bottleneck of many numerical methods in science and engineering. In GPUs …

A new level-set analysis and sparse storage format for the SPTRSV in GPUs

M Freire, E Dufrechou, P Ezzatti - 2024 IEEE 36th International …, 2024 - ieeexplore.ieee.org
Due to its relevant role in many numerical methods, the solution of sparse triangular linear
systems (SpTRSV) in parallel platforms is continuously studied to extract as much …

Automatic selection of sparse triangular linear system solvers on GPUs through machine learning techniques

E Dufrechou, P Ezzatti… - 2019 31st International …, 2019 - ieeexplore.ieee.org
The solution of sparse triangular linear systems is often the most time-consuming stage of
preconditioned iterative methods to solve general sparse linear systems, where it has to be …

Latest advances in parallel, distributed, and network‐based processing

I Merelli, P Liò, I Kotenko… - … : Practice and Experience, 2020 - Wiley Online Library
This editorial introduces the articles selected for the special issue concerning the
International Conferences on Parallel, Distributed, and Network‐Based Processing, which …

Accelerating advanced preconditioning methods on hybrid architectures

E Dufrechou - CLEI electronic journal, 2021 - clei.org
Accelerating advanced preconditioning methods on hybrid architectures Page 1 CLEI electronic
journal, Volume 24, Number 1, Paper 6 , April 2021 Accelerating advanced preconditioning …

Towards a lightweight method to predict the performance of sparse triangular solvers on heterogeneous hardware platforms

R Marichal, E Dufrechou, P Ezzatti - … , Costa Rica, September 25–27, 2019 …, 2020 - Springer
The solution of sparse triangular linear systems (SpTrSV) is a fundamental building block for
many numerical methods. The important presence in different fields and the considerable …