Exploring the Construction of a Domain-Aware Toolchain for High-Performance Computing

P. McCormick, Christine Sweeney, Nicholas D. Moss, Dean Prichard, S. Gutierrez, K. Davis, J. Mohd-Yusof
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引用次数: 8

Abstract

The push towards exascale computing has sparked a new set of explorations for providing new productive programming environments. While many efforts are focusing on the design and development of domain-specific languages (DSLs), few have addressed the need for providing a fully domain-aware toolchain. Without such domain awareness critical features for achieving acceptance and adoption, such as debugger support, pose a long-term risk to the overall success of the DSL approach. In this paper we explore the use of language extensions to design and implement the Scout DSL and a supporting toolchain infrastructure. We highlight how language features and the software design methodologies used within the toolchain play a significant role in providing a suitable environment for DSL development.
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面向高性能计算的领域感知工具链构建研究
对百亿亿次计算的推动引发了一系列新的探索,以提供新的生产性编程环境。虽然许多工作都集中在领域特定语言(dsl)的设计和开发上,但很少有人解决了提供完全领域感知工具链的需求。如果没有这样的领域感知,实现接受和采用的关键特性,比如调试器支持,就会给DSL方法的整体成功带来长期风险。在本文中,我们探讨了使用语言扩展来设计和实现Scout DSL和支持工具链基础结构。我们强调了工具链中使用的语言特性和软件设计方法如何在为DSL开发提供合适的环境方面发挥重要作用。
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