Collaborative Research: An Environment for High-Productivity High-Performance Computing using GPUs/Accelerators

该提案将使用2009年美国复苏和再投资法案（公法111-5）提供的资金进行奖励。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。从用户提供的带注释的C程序中自动生成OpenCL代码。这项工作的动机是基于多面体的方法的最新进展，这些方法用于强大的仿射计算转换，使Pluto自动并行/优化系统的发展成为可能。这些发展将增强广泛使用的gcc编译器，在各个科学领域提供广泛的影响。对从事这项工作的学生的教育将是该项目的核心。

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.