SC is the International Conference for
 High Performnance Computing, Networking, Storage and Analysis

SCHEDULE: NOV 13-19, 2010

Optimizing the Performance and Robustness of Dynamic Scheduling for Scientific Applications with a Large Number of Timesteps

SESSION: Research Poster Reception


TIME: 5:15PM - 7:00PM

AUTHOR(S):Srishti Srivastava, Ioana Banicescu, Florina Ciorba

ROOM:Main Lobby

Many scientific applications are computationally intensive, data parallel, irregular and contain loops with various characteristics and large number of iterations. Over the years, to address multiple issues of their performance and scalability in heterogeneous and unpredictable changing environments, a number of dynamic loop scheduling (DLS) techniques based on probabilistic analyses have been developed. Recently, robustness metrics corresponding to each of the earlier developed DLS techniques have been derived to ensure a reliable execution for a specifically required guaranteed level of performance. This research work is concerned with the development of reinforcement learning (RL) agents, capable to make use of robustness metrics in the optimal selection of the DLS technique that ensures the required level of reliability and guaranteed performance for applications that include a number of loops with different characteristics and also a large number of time-steps. The ongoing work will be presented in the poster session.

Chair/Author Details:

Srishti Srivastava - Mississippi State University

Ioana Banicescu - Mississippi State University

Florina Ciorba - Mississippi State University

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