[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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