Language Support for Parallel Scientific Computation on Distributed Memory Multiprocessors

分布式内存多处理器上并行科学计算的语言支持

• 批准号: 9015577
• 负责人: Robert Schnabel
• 金额: $ 21.78万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-10-01 至 1995-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9015577&HistoricalAwards=false
• 关键词: Language; Support; Parallel; Scientific; Computation

This award supports continued research into programming language support for parallel scientific computation on (MIMD) distributed memory multiprocessors. It is becoming clear that this class of parallel computers will play an important role in the future of large scale scientific computation. Currently, however, such computers are very difficult to program. The goal of this research is to make it considerably easier and more natural to program these computers for large scale parallel scientific computation, without sacrificing the run-time efficiency of the resultant code. A second goal is to make such programs portable between different distributed memory multiprocessors. The main issues are high-level language support for parallel numerical algorithms that use dynamic data and process structures. The researchers will interact extensively with scientists who are (potential) users of these computers. This interaction is aimed at increasing understanding of the paradigms that underline the scientists' parallel algorithms, integrating these paradigms into programming language research, and assessing how well this research is meeting their needs.//

该奖项支持对编程语言的持续研究 支持分布式MIMD上的并行科学计算 内存多处理器。 很明显，这类 并行计算机将在未来的计算机领域发挥重要作用。 大规模科学计算 然而，目前， 计算机很难编程。 本研究的目的 是为了让编程变得更容易更自然 大规模并行科学计算的计算机， 牺牲了结果代码的运行时效率。 第二 我们的目标是使这样的程序在不同的分布式系统之间可移植 内存多处理器。 主要问题是高级语言 支持使用动态数据的并行数值算法 过程结构。 研究人员将广泛地与 科学家是这些计算机的（潜在）用户。 这 互动的目的是增加对范式的理解 强调了科学家的并行算法， 范式到编程语言研究，并评估如何以及 这项研究满足了他们的需求。//