I-Corps: Mistos-Enabling Write-once Run-everywhere High Performance Software

I-Corps：Mistos 支持一次写入、到处运行的高性能软件

• 批准号: 1462365
• 负责人: Scott Mahlke
• 金额: $ 5万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-12-01 至 2015-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1462365&HistoricalAwards=false
• 关键词: Corps; Mistos; Enabling; Write; once

Computer systems that combine traditional processors with powerful graphics processing units (GPUs) have become the standard in all platforms ranging from cloud servers, to laptops and tablets, and even cell phones. GPUs can yield performance or energy savings of up to 300x through their unique design. However, developing applications to exploit these systems is a difficult challenge, requiring specialized hardware expertise and tedious performance optimizations that make them unusable by a large fraction of software developers.To overcome this challenge, this project will explore the commercialization opportunities for a source-to-source optimization system that transparently generates high performance software for heterogeneous computer systems. This I-CORPS team has developed an automatic parallelization tool called Mistos that can help programmers write code for these high performance systems. With Mistos, programmers need to only focus on functionality, rather than hardware details and performance tuning. Mistos will enable users of all kinds of computing platforms, including mobile application developers, cloud services, and members of the scientific community, the ability to harness the computing power of heterogeneous GPU systems in a seamless and efficient manner.

将传统处理器与强大的图形处理单元 (GPU) 相结合的计算机系统已成为从云服务器到笔记本电脑和平板电脑，甚至手机等所有平台的标准。 GPU 通过其独特的设计可以将性能或能源节省高达 300 倍。 然而，开发应用程序来利用这些系统是一项艰巨的挑战，需要专门的硬件专业知识和繁琐的性能优化，这使得大部分软件开发人员无法使用它们。为了克服这一挑战，该项目将探索源到源优化系统的商业化机会，该系统可以透明地为异构计算机系统生成高性能软件。 这个 I-CORPS 团队开发了一种名为 Mistos 的自动并行化工具，可以帮助程序员为这些高性能系统编写代码。 使用 Mistos，程序员只需关注功能，而不是硬件细节和性能调整。 Mistos 将使各种计算平台的用户，包括移动应用程序开发人员、云服务和科学界成员，能够以无缝、高效的方式利用异构 GPU 系统的计算能力。