SHF: Small: Software Fundamentals for Manycore Systems

SHF：小型：众核系统的软件基础知识

• 批准号: 1017399
• 负责人: John Owens
• 金额: $ 49.98万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1017399&HistoricalAwards=false
• 关键词: SHF; Small; Software; Fundamentals; Manycore

The modern computer has two processors, the "central processing unit"(CPU) and the "graphics processing unit" (GPU). Historically, the CPU has been used for general-purpose computing and the GPU for graphics, but as GPUs have become more flexible and programmable, they are increasingly used for computationally-intense general-purpose tasks. However, programming a GPU is difficult, because GPU programmers must divide their programs into many parallel parts. What makes this process easier is using common parallel building blocks developed by expert programmers.The research group, together with colleagues from NVIDIA, is building a library of these parallel primitives. In this work, the PIs are concentrating on three major tasks: the addition of new primitives to this library; techniques for optimizing the primitives that we are including; and an extension of the library to supporting many GPUs in a system.

现代计算机有两个处理器，即“中央处理单元”（CPU）和“图形处理单元”（GPU）。从历史上看，CPU用于通用计算，GPU用于图形，但随着GPU变得更加灵活和可编程，它们越来越多地用于计算密集型通用任务。然而，对GPU进行编程是困难的，因为GPU程序员必须将他们的程序分成许多并行部分。使用由专业程序员开发的通用并行构建块使这一过程变得更容易。研究小组与NVIDIA的同事一起正在构建这些并行原语的库。在这项工作中，PI专注于三项主要任务：向该库添加新的原语;优化我们包含的原语的技术;以及扩展库以支持系统中的许多GPU。