Collaborative Research: An Environment for Portable High Productivity High Performance Computing on GPUs/Accelerators

协作研究：GPU/加速器上的便携式高生产率高性能计算环境

• 批准号: 0926687
• 负责人: Jagannathan Ramanujam
• 金额: $ 26.37万
• 依托单位: Louisiana State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0926687&HistoricalAwards=false
• 关键词: Collaborative; Research; Environment; Portable; Productivity

This proposal will be awarded using funds made available by the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). In this project, investigators propose to develop a programming environment for easing the development of portable high-performance applications for GPUs and accelerators ? by automatic generation of OpenCL code from annotated C programs provided by the user. The proposed work is motivated by recent advances in polyhedral based approaches for powerful transformations of affine computations that have enabled the development of the Pluto automatic parallelization/optimization system. The developments will result in enhancement of the widely used gcc compiler providing broad impact across the sciences. The education of students engaged in the work will be central to the project.

该提案将使用 2009 年美国复苏和再投资法案（公法 111-5）提供的资金进行授予。在这个项目中，研究人员建议开发一个编程环境，以简化 GPU 和加速器的便携式高性能应用程序的开发？通过从用户提供的带注释的 C 程序自动生成 OpenCL 代码。所提出的工作受到基于多面体的仿射计算强大变换方法的最新进展的推动，这些方法使得 Pluto 自动并行化/优化系统的开发成为可能。这些发展将导致广泛使用的 gcc 编译器的增强，从而在整个科学领域产生广泛的影响。从事这项工作的学生的教育将是该项目的核心。