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Tools for Reduced Precision Computation: A Survey

机译:降低精度计算的工具:调查

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摘要

The use of reduced precision to improve performance metrics such as computation latency and power consumption is a common practice in the embedded systems field. This practice is emerging as a new trend in High Performance Computing (HPC), especially when new error-tolerant applications are considered. However, standard compiler frameworks do not support automated precision customization, and manual tuning and code transformation is the approach usually adopted in most domains. In recent years, research have been studying ways to improve the automation of this process. This article surveys this body of work, identifying the critical steps of this process, the most advanced tools available, and the open challenges in this research area. We conclude that, while several mature tools exist, there is still a gap to close, especially for tools based on static analysis rather than profiling, as well as for integration within mainstream, industry-strength compiler frameworks.
机译:使用降低的精度来改善计算延迟和功耗等性能度量是嵌入式系统字段中的常见实践。 这种做法是作为高性能计算(HPC)的新趋势,特别是当考虑新的耐堵塞应用时。 但是,标准编译器框架不支持自动精度定制,手动调整和代码转换是大多数域通常采用的方法。 近年来,研究一直在研究改善这一过程的自动化的方法。 本文调查该工作机构,确定该过程的关键步骤,可用的最先进的工具以及本研究区域的开放挑战。 我们得出结论,虽然存在几种成熟的工具,但仍有差距关闭,特别是对于基于静态分析而非分析的工具,以及在主流,行业强度编制框架内集成。

著录项

  • 来源
    《ACM Computing Surveys》 |2021年第2期|33.1-33.35|共35页
  • 作者单位

    Politecn Milan Dipartimento Elettron Informaz & Bioingn Via Ponzio 39-5 I-20133 Milan Italy;

    Politecn Milan Dipartimento Elettron Informaz & Bioingn Via Ponzio 39-5 I-20133 Milan Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Reduced precision; approximate computing;

    机译:降低精度;近似计算;

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