Dec 20, 2022 · We address the efficient design and implementation of dense matrix factorizations and inversion (DMFI) on modern multicore processors with ...

Abstract—We address the efficient design and implementation of dense matrix factorizations and inversion (DMFI) on modern multicore processors with several ...

We address the efficient design and implementation of dense matrix factorizations and inversion (DMFI) on modern multicore processors with several NUMA ...

We investigate the effect that commonoptimization techniques for general-purpose multicore processors (either manual, compiler-driven, in the form of highly ...

We propose a methodology to address the programmability issues derived from the emergence of new-generation shared-memory NUMA architectures.

NUMA-Aware Dense Matrix Factorizations and Inversion with Look-Ahead on Multicore Processors. Catalan, S. Igual, F.D. · Rodriguez-Sanchez, R. Herrero, J.R. ...

We propose a methodology to address the programmability issues derived from the emergence of new-generation shared-memory NUMA architectures.

NUMA-Aware Dense Matrix Factorizations and Inversion with Look-Ahead on Multicore Processors. SBAC-PAD 2022: 91-99. [c17]. view. electronic edition via DOI ...

This work investigates a parallelization strategy for dense matrix factorization (DMF) algorithms, using OpenMP, that departs from the legacy solution, ...

We propose a methodology to address the programmability issues derived from the emergence of new-generation shared-memory NUMA architectures.