sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Caliper: Composite Performance Data Collection in HPC Codes

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):David Boehme, Todd Gamblin, Peer-Timo Bremer, Olga T. Pearce, Martin Schulz

ROOM:Level 4 - Lobby


Correlating performance metrics with program context information is
key to understanding HPC application behavior. Given the composite
architecture of modern HPC applications, metrics and context
information must be correlated from independent places across the
software stack. Current data-collection approaches either focus on
singular performance aspects, limiting the ability to draw
correlations, or are not flexible enough to capture custom,
application-specific performance factors. With the Caliper
framework, we introduce (1) a flexible data model that can
efficiently represent arbitrary performance-related data, and (2) a
library that transparently combines performance metrics and program
context information provided by source-code annotations and
automatic measurement modules. Measurement modules and source-code
annotations in different program and system components are
independent of each other and can be combined in an arbitrary
fashion. This composite approach allows us to easily create
powerful measurement solutions that facilitate the correlation of
performance data across the software stack.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

David Boehme - Lawrence Livermore National Laboratory

Todd Gamblin - Lawrence Livermore National Laboratory

Peer-Timo Bremer - Lawrence Livermore National Laboratory

Olga T. Pearce - Lawrence Livermore National Laboratory

Martin Schulz - Lawrence Livermore National Laboratory

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