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

TL;DR

PSCToolkit is a software suite designed to efficiently solve large symmetric positive-definite linear systems using up to 8192 GPUs on supercomputers, enhancing computational speed for scientific problems.

Contribution

The paper introduces PSCToolkit, a new library suite that enables scalable, efficient solutions for large sparse linear systems on massively parallel GPU architectures.

Findings

Successfully solved large-scale linear systems on 8192 GPUs

Achieved high node-level efficiency and flexibility

Supports integration with multiple programming languages

Abstract

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. The toolkit is designed for node-level efficiency, flexibility and usability, supporting integration with both Fortran and C/C++, enabling researchers and developers from diverse computational backgrounds to leverage its powerful capabilities.