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Computer Science > Programming Languages

arXiv:2306.00229 (cs)
[Submitted on 31 May 2023 (v1), last revised 12 Jul 2023 (this
version, v2)]

Title:Minotaur: A SIMD-Oriented Synthesizing Superoptimizer

Authors:Zhengyang Liu, Stefan Mada, John Regehr
Download a PDF of the paper titled Minotaur: A SIMD-Oriented
Synthesizing Superoptimizer, by Zhengyang Liu and 2 other authors
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    Abstract: Minotaur is a superoptimizer for LLVM's intermediate
    representation that focuses on integer SIMD instructions, both
    portable and specific to x86-64. We created it to attack problems
    in finding missing peephole optimizations for SIMD
    instructions-this is challenging because there are many such
    instructions and they can be semantically complex. Minotaur runs
    a hybrid synthesis algorithm where instructions are enumerated
    concretely, but literal constants are generated by the solver. We
    use Alive2 as a verification engine; to do this we modified it to
    support synthesis and also to support a large subset of Intel's
    vector instruction sets (SSE, AVX, AVX2, and AVX-512). Minotaur
    finds many profitable optimizations that are missing from LLVM.
    It achieves limited speedups on the integer parts of SPEC
    CPU2017, around 1.3%, and it speeds up the test suite for the
    libYUV library by 2.2%, on average, and by 1.64x maximum, when
    targeting an Intel Cascade Lake processor.

Subjects: Programming Languages (cs.PL)
Cite as:  arXiv:2306.00229 [cs.PL]
          (or arXiv:2306.00229v2 [cs.PL] for this version)
          https://doi.org/10.48550/arXiv.2306.00229
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Zhengyang Liu [view email]
[v1] Wed, 31 May 2023 22:57:37 UTC (1,019 KB)
[v2] Wed, 12 Jul 2023 16:49:05 UTC (1,019 KB)
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