Home > Success Stories > BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs

BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs

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.

Massimo Bernaschi, Pasqua D’Ambra, Dario Pasquini
Software Impacts, Volume 6, November 2020, 100041
https://doi.org/10.1016/j.simpa.2020.100041