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PSCToolkit: solving sparse linear systems with a large number of GPUs

Pasqua D’Ambra, Fabio Durastante, Salvatore Filippone
Consiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo “Mauro Picone”, Via Pietro Castellino 111, 80131 – Napoli
arXiv:2406.19754 [math.NA], (28 Jun 2024)

@misc{dambra2024psctoolkitsolvingsparselinear,

   title={PSCToolkit: solving sparse linear systems with a large number of GPUs},

   author={Pasqua D’Ambra and Fabio Durastante and Salvatore Filippone},

   year={2024},

   eprint={2406.19754},

   archivePrefix={arXiv},

   primaryClass={math.NA},

   url={https://arxiv.org/abs/2406.19754}

}

In this chapter, we describe the Parallel Sparse Computation Toolkit (PSCToolkit), a suite of libraries for solving large-scale linear algebra problems in an HPC environment. In particular, we focus on the tools provided for the solution of symmetric and positive-definite linear systems using up to 8192 GPUs on the EuroHPC-JU Leonardo supercomputer. PSCToolkit is an ongoing mathematical software project aimed at exploiting the extreme computational speed of current supercomputers for relevant problems in Computational and Data Science.
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