使用Clacc和TAU的Clang和LLVM的OpenACC分析支持

Q4 Social Sciences
Camille Coti, J. Denny, K. Huck, Seyong Lee, A. Malony, S. Shende, J. Vetter
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引用次数: 4

摘要

自2010年发布以来,OpenACC已经发展成为当今HPC系统上最广泛使用的加速器便携式编程模型之一。Clacc是由美国Exascale计算项目(ECP)资助的一个项目,它将OpenACC对C和c++的支持引入到流行的Clang和LLVM编译器基础设施中。在本文中,我们描述了Clacc对OpenACC分析接口的支持,这是OpenACC规范的一个关键组件,它标准化了分析工具和库可以在OpenACC实现中依赖的接口。作为Clacc在OpenMP上构建OpenACC支持的总体策略的一部分,我们描述了Clacc如何在OMPT的扩展版本上构建OpenACC分析接口支持。然后,我们描述了ECP中的主要分析和跟踪工具包,TAU性能系统,如何利用这种支持。我们还描述了TAU对OpenACC的选择性仪器支持。最后,通过使用Clacc和TAU,我们展示了在IBM AC922节点上运行的几个SPEC ACCEL OpenACC基准测试的可视化示例,并表明相关的性能开销可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OpenACC Profiling Support for Clang and LLVM using Clacc and TAU
Since its launch in 2010, OpenACC has evolved into one of the most widely used portable programming models for accelerators on HPC systems today. Clacc is a project funded by the US Exascale Computing Project (ECP) to bring OpenACC support for C and C++ to the popular Clang and LLVM compiler infrastructure. In this paper, we describe Clacc’s support for the OpenACC Profiling Interface, a critical component of the OpenACC specification that standardizes an interface that profiling tools and libraries can depend upon across OpenACC implementations. As part of Clacc’s general strategy to build OpenACC support upon OpenMP, we describe how Clacc builds OpenACC Profiling Interface support upon an extended version of OMPT. We then describe how a major profiling and tracing toolkit within ECP, the TAU Performance System, takes advantage of this support. We also describe TAU’s selective instrumentation support for OpenACC. Finally, using Clacc and TAU, we present example visualizations for several SPEC ACCEL OpenACC benchmarks running on an IBM AC922 node, and we show that the associated performance overhead is negligible.
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来源期刊
Meta: Avaliacao
Meta: Avaliacao Social Sciences-Education
CiteScore
0.40
自引率
0.00%
发文量
13
审稿时长
10 weeks
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