SCHEDULE: NOV 16-22, 2013
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Fine-grained Gathering of Scientific Data in QMCPack Simulations on Titan
SESSION: ACM Student Research Competition Poster Reception
EVENT TYPE: ACM Student Research Competition Posters, ACM Student Research Competition
TIME: 5:15PM - 7:00PM
AUTHOR(S):Stephen N. Herbein
ROOM:Mile High Pre-Function
ABSTRACT:
Traditional petascale applications, such as QMCPack, can scale their computation to completely utilize modern supercomputers like Titan, but cannot scale their I/O. Because of this lack of scalability, scientists cannot save data at the granularity level they need to enable scientific discovery.
In this work, we tackle the problem of increasing the granularity of data collected from QMCPack simulations without increasing I/O overhead or compromising the simulations scalability. Our solution relies on the redesign of the QMCPack algorithms to gather fine-grained information and the integration of the ADIOS API to help select effective I/O methods without major code changes.
Results presented in the poster outline how we can increase the quality of the scientific knowledge extracted from Titian simulations of QMCPack while keeping the I/O overhead below 10%.
Chair/Author Details:
Stephen N. Herbein - University of Delaware
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