Preprint
Sep 2026
Rethinking Sparse Formats for RISC-V: A Hierarchical Approach to High-Performance SpMV
The sparse matrix-vector multiplication (SpMV) algorithm is a fundamental computational kernel of linear algebra and serves as a building block for numerous applications, primarily iterative solvers for systems of linear equations used in scientific and engineering simulations. This paper compares vectorized implementa...
A. Pirova, Anastasia Vodeneeva, K. Kovalev et al.
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