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BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs

Academic Article
Publication Date:
2020
abstract:
Sparse solvers are one of the building blocks of any technology for reliable and high-performance scientific and engineering computing. In this paper we present a software package which implements an efficient multigrid sparse solver running on Graphics Processing Units. The package is a branch of a wider initiative of software development for sparse Linear Algebra computations on emergent HPC architectures involving a large research group working in many application projects over the last ten years.
Iris type:
01.01 Articolo in rivista
Keywords:
Adaptive AMG; GPUs
List of contributors:
Pasquini, Dario; D'Ambra, Pasqua; Bernaschi, Massimo
Authors of the University:
BERNASCHI MASSIMO
D'AMBRA PASQUA
Handle:
https://iris.cnr.it/handle/20.500.14243/381963
Published in:
SOFTWARE IMPACTS
Journal
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