arXiv Open Access 2023

Open-Source GEMM Hardware Kernels Generator: Toward Numerically-Tailored Computations

Louis Ledoux Marc Casas
Lihat Sumber

Abstrak

Many scientific computing problems can be reduced to Matrix-Matrix Multiplications (MMM), making the General Matrix Multiply (GEMM) kernels in the Basic Linear Algebra Subroutine (BLAS) of interest to the high-performance computing community. However, these workloads have a wide range of numerical requirements. Ill-conditioned linear systems require high-precision arithmetic to ensure correct and reproducible results. In contrast, emerging workloads such as deep neural networks, which can have millions up to billions of parameters, have shown resilience to arithmetic tinkering and precision lowering.

Topik & Kata Kunci

Penulis (2)

L

Louis Ledoux

M

Marc Casas

Format Sitasi

Ledoux, L., Casas, M. (2023). Open-Source GEMM Hardware Kernels Generator: Toward Numerically-Tailored Computations. https://arxiv.org/abs/2305.18328

Akses Cepat

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Tahun Terbit
2023
Bahasa
en
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arXiv
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Open Access ✓