Knowledge-Based Parallel Performance Technology for Scientific Application Competitiveness Final Report

Malony, Allen D ; Shende, Sameer

关键词: parallel;    high-performance computing;    tools;   

DOI  :  10.2172/1021925
RP-ID  :  DOE/ER/25826-1
PID  :  OSTI ID: 1021925

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

The primary goal of the University of Oregon's DOE "????????competitiveness" project was to create performance technology that embodies and supports knowledge of performance data, analysis, and diagnosis in parallel performance problem solving. The target of our development activities was the TAU Performance System and the technology accomplishments reported in this and prior reports have all been incorporated in the TAU open software distribution. In addition, the project has been committed to maintaining strong interactions with the DOE SciDAC Performance Engineering Research Institute (PERI) and Center for Technology for Advanced Scientific Component Software (TASCS). This collaboration has proved valuable for translation of our knowledge-based performance techniques to parallel application development and performance engineering practice. Our outreach has also extended to the DOE Advanced CompuTational Software (ACTS) collection and project. Throughout the project we have participated in the PERI and TASCS meetings, as well as the ACTS annual workshops.