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BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs

Massimo Bernaschi, Pasqua D’Ambra, Dario Pasquini
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.
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