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arXiv · 2510.13427

Verification Challenges in Sparse Matrix Vector Multiplication in High Performance Computing: Part I

Junchao Zhang
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Abstract

Sparse matrix vector multiplication (SpMV) is a fundamental kernel in scientific codes that rely on iterative solvers. In this first part of our work, we present both a sequential and a basic MPI parallel implementations of SpMV, aiming to provide a challenge problem for the scientific software verification community. The implementations are described in the context of the PETSc library.

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Junchao Zhang. 2025-10-15. Verification Challenges in Sparse Matrix Vector Multiplication in High Performance Computing: Part I. https://doi.org/10.4204/eptcs.432.11

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