U.S.-Germany Cooperative Research: High-Performance Execution of Nested Data Parallelism in Fortran Programs

美德合作研究：Fortran 程序中嵌套数据并行的高性能执行

• 批准号: 9726317
• 负责人: Jan Prins
• 金额: $ 1.01万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-03-15 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9726317&HistoricalAwards=false
• 关键词: U.S.; Germany; Cooperative; Research; Performance

This award supports Dr. Jan Prins, co-PI Siddhartha Chatterjee, and a graduate student from the University of North Carolina-Chapel Hill in a collaboration with Stefan Jªhnichen of the Department of Communications and Software Engineering at the Technical University of Berlin. The collaboration will study high-performance computing with the aim of integrating nested parallelism into the High Performance Fortran (HPF) and Fortran 95 programming languages. (HPF is a variant of Fortran 95 specifically targeted for programming high-performance parallel computers in a way that does not depend on the computer architecture.) The time is right to incorporate this new technology into Fortran so that applications can take advantage of the capability without disrupting ongoing development. Nested parallelism enables the expression of adaptive and sparse solution techniques necessary to performing increasingly large and precise scientific computations. The collaboration combines the complementary strengths and facilities of the two research groups.

这个奖项支持博士简普林斯，共同PI悉达多查特吉，和一名研究生 来自北卡罗来纳大学教堂山分校， 纽约大学通信与软件工程系的J？hnichen说， 柏林工业大学。 该合作将研究高性能计算 目的是将嵌套并行性集成到高性能Fortran（HPF）中 Fortran 95编程语言 (HPF是Fortran 95的一个变体， 针对高性能并行计算机编程的方式， 取决于计算机架构）。 现在是时候把这个新的 技术，以便应用程序可以利用这些功能， 破坏了正在进行的发展。 嵌套并行使自适应 和稀疏解决方案技术，以执行越来越大和精确的 科学计算 这种合作结合了互补的优势， 两个研究小组的设施。