Difference between revisions of "Project Info"
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− | The goal of the this project will be to integrate, harden, and deploy an open, portable, robust performance tools environment for the NSF-funded high-performance computing centers. And to improve and support a parallel performance environment that integrates the widely-used [http://tau.uoregon.edu TAU], [http://cl.cs.utk.edu/papi/ PAPI], [http://icl.cs.utk.edu/kojak/ KOJAK], and [http://perfsuite.ncsa.uiuc.edu/ PerfSuite] technologies as core components. | + | The High-Productivity Performance Engineering project is a NSF funded project as part of the [http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5174 Software Development for Cyberinfrastructure (SDCI)] program. The goal of the this project will be to integrate, harden, and deploy an open, portable, robust performance tools environment for the NSF-funded high-performance computing centers. And to improve and support a parallel performance environment that integrates the widely-used [http://tau.uoregon.edu TAU], [http://cl.cs.utk.edu/papi/ PAPI], [http://icl.cs.utk.edu/kojak/ KOJAK], and [http://perfsuite.ncsa.uiuc.edu/ PerfSuite] technologies as core components. |
* [[Publications|Relevant Publications]] | * [[Publications|Relevant Publications]] |
Revision as of 21:45, 22 January 2008
The High-Productivity Performance Engineering project is a NSF funded project as part of the Software Development for Cyberinfrastructure (SDCI) program. The goal of the this project will be to integrate, harden, and deploy an open, portable, robust performance tools environment for the NSF-funded high-performance computing centers. And to improve and support a parallel performance environment that integrates the widely-used TAU, PAPI, KOJAK, and PerfSuite technologies as core components.
Four major institutions are collaborating in this project University of Oregon, University of Tennessee at Knoxville and National Center for Scientific Applications are developing the performance tools. Pittsburgh Supercomputing Center is helping to introduces these tools to the HPC community.