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| website =  
| website =  
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| team-members = LLNL, PNNL, Rice Uni., U. of Maryland, U. of Utah, U. of Wisconsin
| pi =  
| pi = Martin Schulz (LLNL)
| co-pi = }}
| co-pi = Peer-Timo Bremer, Todd Gamblin, Jeff Hollingsworth, John Mellor-Crummey, Barton Miller, Valerio Pascucci, Nathan Tallent}}


Description goes here
Description goes here
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== Objectives ==
== 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.


== Roadmap ==
== Roadmap ==
[[File:Example.jpg]]


== Software Stack ==
== Software Stack ==


== Deliverables ==
== Deliverables ==
tbd.

Revision as of 14:20, September 23, 2013

PIPER: Performance Insight for Programmers and Exascale Runtimes
Image goes here
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

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.

Roadmap

Example.jpg

Software Stack

Deliverables

tbd.