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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.
Employing Machine Learning for the Selection of Robust Algorithms for the Dynamic Scheduling of Scientific Applications
SESSION: Poster Reception
EVENT TYPE: Posters
TIME: 5:15PM - 7:00PM
AUTHOR(S):Nitin Sukhija, Srishti Srivastava, Florina M. Ciorba, Ioana Banicescu, Brandon Malone
ROOM:New Orleans Theater Lobby
ABSTRACT:
Scheduling scientific applications with large, computationally intensive, and data parallel loops, which have irregular iteration execution times, on heterogeneous computing systems with unpredictably fluctuating load requires highly efficient and robust scheduling algorithms. State-of-the-art dynamic loop scheduling (DLS) techniques provide a solution for achieving the best performance for these applications executing in dynamic computing environments. Selecting the most robust of the state-of-the-art DLS algorithms remains, however, challenging.
In this work we propose a methodology for solving this selection problem. We employ machine learning to obtain an empirical robustness prediction model that enables algorithm selection from a portfolio of DLS algorithms on a per-instance basis. An instance consists of the given application and current system characteristics, including workload conditions. Through discrete event simulations, we show that the proposed portfolio-based approach offers higher performance guarantees with respect to the robust execution of the application when compared to the simpler winner-take-all approach.
Chair/Author Details:
Nitin Sukhija - Mississippi State University
Srishti Srivastava - Mississippi State University
Florina M. Ciorba - Technical University Dresden
Ioana Banicescu - Mississippi State University
Brandon Malone - Helsinki Institute for Information Technology
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