Batched sparse and mixed-precision linear algebra interface for efficient use of GPU hardware accelerators in scientific applications
Abstract Batched Sparse Linear Algebra has become an emergent processing mode on
modern hardware accelerators based on Graphics Processing Units (GPUs) developed over …
modern hardware accelerators based on Graphics Processing Units (GPUs) developed over …
[PDF][PDF] Direct and Iterative Methods for Linear Systems
G Meurant - 2023 - gerard-meurant.fr
Solving linear systems of equations is ubiquitous in scientific computing. Therefore,
numerical algorithms for solving them are of paramount importance. There are two main …
numerical algorithms for solving them are of paramount importance. There are two main …
Survey of Linear Algebra Solvers for Exascale Computing.
HE Lianhua, XU Shun… - Journal of Frontiers of …, 2023 - search.ebscohost.com
The application of scientific engineering computing based on exascale computing not only
offers opportunities but also creates challenges for the development of numerical linear …
offers opportunities but also creates challenges for the development of numerical linear …
[PDF][PDF] GM Bibliography
G Meurant - 2023 - gerard-meurant.fr
[16] P.-A. Absil, R. Mahony, and B. Andrews. Convergence of the iterates of descent
methods for analytic cost functions. SIAM J. Optim., 16 (2): 531–547, 2005.[17] A. Abu-Omar …
methods for analytic cost functions. SIAM J. Optim., 16 (2): 531–547, 2005.[17] A. Abu-Omar …
High-Performance Scientific Applications Using Mixed Precision and Low-Rank Approximation Powered by Task-based Runtime Systems
RM Alomairy - 2022 - repository.kaust.edu.sa
To leverage the extreme parallelism of emerging architectures, so that scientific applications
can fulfill their high fidelity and multi-physics potential while sustaining high efficiency …
can fulfill their high fidelity and multi-physics potential while sustaining high efficiency …