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SCHEDULE: NOV 16-21, 2014
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
Machine Learning Algorithms for the Performance and Energy-Aware Characterization of Linear Algebra Kernels on Multithreaded Architectures
SESSION: Poster Reception
EVENT TYPE: Posters
TIME: 5:15PM - 7:00PM
AUTHOR(S):A. Cristiano I. Malossi, Yves Ineichen, Costas Bekas, Alessandro Curioni, Enrique S. Quintana-Ortí
ROOM:New Orleans Theater Lobby
ABSTRACT:
The performance and energy optimization of the 13 ``dwarfs'', proposed by UC-Berkeley in 2006, can have a tremendous impact on a vast number of scientific applications and existing computational libraries. To achieve this goal, scientists and software engineers need tools for
analyzing and modeling the performance-power-energy interactions of their kernels on real HPC systems.
In this poster we present systematic methods to derive reliable time-power-energy models for dense and sparse linear algebra operations. Our strategy is based on decomposing the kernels into sub-components (e.g., arithmetics and memory accesses) and identifying the critical features
that drive their performance, power, and energy consumption. The proposed techniques provide tools for analyzing and reengineering algorithms for the desired power- and energy-efficiency as well as to reduce operational costs of HPC-supercomputers and cloud-systems with thousands of
concurrent users.
Chair/Author Details:
A. Cristiano I. Malossi - IBM Corporation
Yves Ineichen - IBM Corporation
Costas Bekas - IBM Corporation
Alessandro Curioni - IBM Corporation
Enrique S. Quintana-Ortí - James I University
Click here to download .ics calendar file
