English

Batched DGEMMs for scientific codes running on long vector architectures

Distributed, Parallel, and Cluster Computing 2025-01-13 v1

Abstract

In this work, we evaluate the performance of SeisSol, a simulator of seismic wave phenomena and earthquake dynamics, on a RISC-V-based system utilizing a vector processing unit. We focus on GEMM libraries and address their limited ability to leverage long vector architectures by developing a batched DGEMM library in plain C. This library achieves speedups ranging from approximately 3.5x to 32.6x compared to the reference implementation. We then integrate the batched approach into the SeisSol application, ensuring portability across different CPU architectures. Lastly, we demonstrate that our implementation is portable to an Intel CPU, resulting in improved execution times in most cases.

Keywords

Cite

@article{arxiv.2501.06175,
  title  = {Batched DGEMMs for scientific codes running on long vector architectures},
  author = {Fabio Banchelli and Marta Garcia-Gasulla and Filippo Mantovani},
  journal= {arXiv preprint arXiv:2501.06175},
  year   = {2025}
}

Comments

Accepted at the First PPAM Workshop on RISC-V (PPAM24)

R2 v1 2026-06-28T21:02:55.927Z