PIPER
From Modelado Foundation
PIPER: Performance Insight for Programmers and Exascale Runtimes | |
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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.
Roadmap
Software Stack
Deliverables
tbd.