A highly parallel algorithm for computing the action of a matrix exponential on a vector based on a multilevel Monte Carlo method

artículo científico publicado en 2020

Analysis of a sparse hypermatrix Cholesky with fixed-sized blocking

Data prefetching and multilevel blocking for linear algebra operations

scholarly article published 1996

Efficient Implementation of Nearest Neighbor Classification

Energy balance between voltage-frequency scaling and resilience for linear algebra routines on low-power multicore architectures

scholarly article by Sandra Catalán et al published April 2018 in Parallel Computing

Exploiting computer resources for fast nearest neighbor classification

Graphics processing unit computing and exploitation of hardware accelerators

Hypermatrix oriented supernode amalgamation

Level-3 Cholesky Factorization Routines Improve Performance of Many Cholesky Algorithms

Look-ahead in the two-sided reduction to compact band forms for symmetric eigenvalue problems and the SVD

New Data Structures for Matrices and Specialized Inner Kernels: Low Overhead for High Performance

New Level-3 BLAS Kernels for Cholesky Factorization

On new computational local orders of convergence

Parallelizing dense and banded linear algebra libraries using SMPSs

scholarly article by Rosa M. Badia et al published 22 July 2009 in Concurrency and Computation: Practice and Experience

Static scheduling of the LU factorization with look-ahead on asymmetric multicore processors

Two-sided orthogonal reductions to condensed forms on asymmetric multicore processors

article published in 2018

Using Non-canonical Array Layouts in Dense Matrix Operations