Data Structures for Data-Parallel Architectures

数据并行架构的数据结构

• 批准号: 0541448
• 负责人: John Owens
• 金额: $ 20万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-15 至 2011-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0541448&HistoricalAwards=false
• 关键词: Data; Structures; Parallel; Architectures

The project investigates the development of flexible, generic and high-performance data structures for commodity data-parallel architectures. The research will determine appropriate abstractions of data structures suitable for these architectures, determine efficient implementations for the data structures, and develop and build a framework for tuning them for different architectures. The research will address the issues in providing high-performance data structures for GPUs that can be tuned for different parallel architectures. The successful completion of this project will have significant impact in exploiting the growing trend towards multi-core and multi threaded parallel processing in commodity processors, by facilitating the development of parallel software in these environments.

该项目研究为商用数据并行体系结构开发灵活、通用和高性能的数据结构。研究将确定适合这些体系结构的数据结构的适当抽象，确定数据结构的有效实现，并开发和构建用于针对不同体系结构调整它们的框架。这项研究将解决为GPU提供高性能数据结构的问题，这些结构可以针对不同的并行体系结构进行调整。该项目的成功完成将通过促进在这些环境中开发并行软件，对利用商用处理器中多核和多线程并行处理这一日益增长的趋势产生重大影响。