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· 2014

OpenTuner

Jason Ansel, Shoaib Kamil, Kalyan Veeramachaneni, Jonathan Ragan‐Kelley et al.

Short summary

OpenTuner is a new autotuning framework designed for portability across different programming projects, addressing limitations of existing domain-specific autotuners.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Autotuners are often not portable due to reliance on domain-specific search spaces.
  • Large search spaces can necessitate advanced machine learning techniques.
  • The landscape of search spaces varies greatly between problems.
  • OpenTuner is a new framework designed for portability across projects.

AI-generated from the title and abstract; the full text is not read.

Abstract

Program autotuning has been shown to achieve better or more portable performance in a number of domains. However, autotuners themselves are rarely portable between projects, for a number of reasons: using a domain-informed search space representation is critical to achieving good results; search spaces can be intractably large and require advanced machine learning techniques; and the landscape of search spaces can vary greatly between different problems, sometimes requiring domain specific search techniques to explore efficiently.

The authors' abstract, as published at the source., 2014 · DOI ↗

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Field: Hardware and Architecture

Hardware and ArchitectureComputer Science