Difference between revisions of "Project Info"
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The Productivity from Open, INtegrated Tools (POINT) project is funded as part of the NSF's [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 NSF-funded high-performance computing centers. We will leverage 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, improving them as necessary to meet our stringent support guidelines. | The Productivity from Open, INtegrated Tools (POINT) project is funded as part of the NSF's [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 NSF-funded high-performance computing centers. We will leverage 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, improving them as necessary to meet our stringent support guidelines. | ||
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Revision as of 18:55, 8 February 2008
The Productivity from Open, INtegrated Tools (POINT) project is funded as part of the NSF's 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 NSF-funded high-performance computing centers. We will leverage the widely-used TAU, PAPI, KOJAK, and PerfSuite technologies as core components, improving them as necessary to meet our stringent support guidelines.
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. The Pittsburgh Supercomputing Center is helping to introduce these tools to the HPC community.
