BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs
Institute for Applied Computing (IAC) – CNR, Via dei Taurini 19, 00185 – Rome, I
Software Impacts, 100041, 2020
@article{bernaschi2020bootcmatchg,
title={BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs},
author={Bernaschi, Massimo and D’Ambra, Pasqua and Pasquini, Dario},
journal={Software Impacts},
pages={100041},
year={2020},
publisher={Elsevier}
}
Sparse solvers are one of the building blocks of any technology for reliableand high-performance scientific and engineering computing. In this paperwe present a software package which implements an efficient multigrid sparsesolver running on Graphics Processing Units. The package is a branch ofa wider initiative of software development for sparse Linear Algebra com-putations on emergent HPC architectures involving a large research groupworking in many application projects over the last ten years.
November 29, 2020 by hgpu
