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

这项提案将使用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，以简化针对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。这项拟议的工作是由基于多面体的方法的最新进展推动的，这些方法用于仿射计算的强大变换，使得冥王星自动并行化/优化系统的开发成为可能。这些发展将导致被广泛使用的GCC编译器的增强，在科学界产生广泛的影响。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.