[CCoE Notice] MuMMI: A Modeling Infrastructure for Exploring Power and Execution Time Tradeoffs
Grayson, Audrey A
aagrayso at Central.UH.EDU
Thu Oct 15 14:25:49 CDT 2015
MuMMI: A Modeling Infrastructure for Exploring Power and Execution Time Tradeoffs
November 12, 2015
GUEST SPEAKER: DR. VALERIE TAYLOR
Senior Associate Dean, Academic Affairs, Regents Professor,
Wisenbaker Professor, Department of Computer Science and
Engineering, Texas A&M University
Event Information
Date: November 12, 2015
Time: 1:30–3:00 p.m.
Venue: Philip Guthrie Hoffman Hall 563
RSVP:https://docs.google.com/forms/d/1jkIXSAx4jDrdh2yMPFqDJbTZaBCb6HxEy_w2swbRM_0/edit?ts=561d18ed#
Additional Information
MuMMI (Multiple Metrics Modeling Infrastructure) is an infrastructure that facilitates
the measurement and modeling of performance and power for large-°©-scale parallel
applications . MuMMI builds upon three existing tools: Prophesy for performance
modeling and prediction of parallel applications, PAPI for hardware performance counter
monitoring, and PowerPack for power measurement and profiling. The MuMMI
framework develops models of runtime and power based upon performance counters;
these models are used to explore tradeoffs and identify methods for improving energy
efficiency. In this talk we will describe the MuMMI framework and present examples of
the use of MuMMI to improve the energy efficiency of parallel applications.
Dr. Taylor will discuss her research expertise in high performance computing, specifically
in the area of MuMMI (Multiple Metrics Modeling Infrastructure). As a successful
researcher and administrative leader, Dr. Taylor will also discuss issues and opportunities
for women of color in STEM.
PLEASE SEE ATTACHED FLYER FOR MORE INFORMATION
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