PIPER: Difference between revisions
From Modelado Foundation
imported>Schulzm No edit summary |
imported>Schulzm No edit summary |
||
| Line 1: | Line 1: | ||
{{Infobox project | {{Infobox project | ||
| title = PIPER: Performance Insight for Programmers and Exascale Runtimes | | title = PIPER: Performance Insight for Programmers and Exascale Runtimes | ||
| image = | | image = [[File:Screen_Shot_2013-09-27_at_11.17.54_PM.png]] | ||
| imagecaption = | | imagecaption = | ||
| website = | | website = | ||
| Line 22: | Line 22: | ||
PIPER (Performance Insights for Programmers and Exascale Runtimes) is a multi-institutional collaboration funded under the Office of Science's X-Stack program that targets the development of new techniques for measuring, analyzing, attributing, and presenting performance data on exascale systems. | PIPER (Performance Insights for Programmers and Exascale Runtimes) is a multi-institutional collaboration funded under the Office of Science's X-Stack program that targets the development of new techniques for measuring, analyzing, attributing, and presenting performance data on exascale systems. | ||
== | [[File:Example.jpg]] | ||
== Approch == | |||
[[File:Example.jpg]] | [[File:Example.jpg]] | ||
== Software Stack == | == Software Stack == | ||
[[File:Example.jpg]] | |||
== Deliverables == | == Deliverables == | ||
tbd. | tbd. | ||
Revision as of 06:35, September 28, 2013
| PIPER: Performance Insight for Programmers and Exascale Runtimes | |
|---|---|
 | |
| Team Members | LLNL, PNNL, Rice Uni., U. of Maryland, U. of Utah, U. of Wisconsin |
| PI | Martin Schulz (LLNL) |
| Co-PIs | Peer-Timo Bremer, Todd Gamblin, Jeff Hollingsworth, John Mellor-Crummey, Barton Miller, Valerio Pascucci, Nathan Tallent |
| Website | |
| Download | {{{download}}} |
Description goes here
Team Members
- Lawrence Livermore National Laboratory (team pages)
- Pacific Northwest National Laboratory (team pages)
- Rice University (team pages)
- University of Maryland (team pages)
- University of Utah (team pages)
- University of Wisconsin (team pages)
Objectives
PIPER (Performance Insights for Programmers and Exascale Runtimes) is a multi-institutional collaboration funded under the Office of Science's X-Stack program that targets the development of new techniques for measuring, analyzing, attributing, and presenting performance data on exascale systems.
Approch
Software Stack
Deliverables
tbd.