[2305.02444] FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs
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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2305.02444 (cs)
[Submitted on 3 May 2023 (v1), last revised 9 May 2023 (this version, v2)]

Title:FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs

Authors:Shixun Wu, Yujia Zhai, Jiajun Huang, Zizhe Jian, Zizhong Chen
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Abstract:General matrix/matrix multiplication (GEMM) is crucial for scientific computing and machine learning. However, the increased scale of the computing platforms raises concerns about hardware and software reliability. In this poster, we present FT-GEMM, a high-performance GEMM being capable of tolerating soft errors on-the-fly. We incorporate the fault tolerant functionality at algorithmic level by fusing the memory-intensive operations into the GEMM assembly kernels. We design a cache-friendly scheme for parallel FT-GEMM. Experimental results on Intel Cascade Lake demonstrate that FT-GEMM offers high reliability and performance -- faster than Intel MKL, OpenBLAS, and BLIS by 3.50\%$\sim$ 22.14\% for both serial and parallel GEMM, even under hundreds of errors injected per minute.
Comments: arXiv admin note: substantial text overlap with arXiv:2104.00897
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Performance (cs.PF)
Cite as: arXiv:2305.02444 [cs.DC]
  (or arXiv:2305.02444v2 [cs.DC] for this version)
  https://doi.org/10.48550/arXiv.2305.02444
Related DOI: https://doi.org/10.1145/3588195.3595947

Submission history

From: Shixun Wu [view email]
[v1] Wed, 3 May 2023 22:08:37 UTC (6,113 KB)
[v2] Tue, 9 May 2023 02:12:56 UTC (6,113 KB)
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