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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
BEGIN:VEVENT
DTSTART:20151117T231500Z
DTEND:20151118T010000Z
LOCATION:Level 4 - Lobby
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The MuMMI (Multiple Metrics Modeling Infrastructure) facilitates systematic measurement, modeling, and prediction of performance and power consumption, and performance-power tradeoffs and optimization for Power-aware HPC systems. In this paper, we use the MuMMI to model performance and power. These models focus on four metrics: runtime, system power, CPU power and memory power. We rank the counters from these models to identify the most important counters for application optimization focus, then demonstrate the counter-guided optimizations with an aerospace application PMLB executed on two power-aware supercomputers, Mira at Argonne National Laboratory), and SystemG at Virginia Tech.
SUMMARY:Using MuMMI to Model and Optimize Energy and Performance of HPC Applications on Power-Aware Supercomputers
PRIORITY:3
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