Comprehensive optimization of parametric kernels for graphics processing units

图形处理单元参数化内核的全面优化

• 批准号: 500717-2016
• 负责人: MorenoMaza, Marc
• 金额: $ 3.5万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=660185
• 关键词: Comprehensive; optimization; parametric; kernels; graphics

This proposal deals with the optimization of computer programs**targeting Graphics Processing Units (GPUs). The goal is to lift, from**programmers to optimizing compilers, the heavy burden of specifying**program and machine-specific details. The expected benefit is to**ensure robustness, portability and efficiency of the generated**computer programs.****We address these requirements by treating machine and program**parameters as unknown symbols during code generation, and generating**optimized programs in the form of a case discussion, based on the**possible values of the machine and program parameters.****This is a new approach to the design of optimizing compilers. By**taking advantage of recent advances in the area of computer algebra,**preliminary experimentation has demonstrated the merit of the above**ideas. With this proposal, we want to turn them into mature**technology in support of commercial compilers such as the IBM XL**compiler.**

本提案涉及针对图形处理单元（gpu）的计算机程序**的优化。目标是从**程序员到优化编译器，减轻指定**程序和特定于机器的细节的沉重负担。预期的好处是确保生成的计算机程序的健壮性、可移植性和效率。****我们通过在代码生成过程中将机器和程序参数作为未知符号处理，并基于机器和程序参数的**个可能值，以案例讨论的形式生成**个优化程序来满足这些要求。****这是一种设计优化编译器的新方法。通过**利用计算机代数领域的最新进展，**初步实验已经证明了上述**思想的优点。通过这个提议，我们希望将它们变成成熟的**技术，以支持商业编译器，如IBM XL**编译器