SCHEDULE: NOV 12-18, 2011

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Collaboratively mining rich information to prepare the Exascale challenges

SESSION: Collaboratively mining rich information to prepare the Exascale challenges

EVENT TYPE: Birds of a Feather

TIME: 12:15PM - 1:15PM

SESSION LEADER(S):Marie-Christine Sawley, Grigori Fursin

ROOM:WSCC 204

ABSTRACT:
In this BOF we want to discuss novel ways to overcome the complexity of Exascale computing systems through community-driven auto-tuners and optimization repositories. Modern computing systems have reached unprecedented levels of complexity due to a large number of available design and optimization choices. Various auto-tuning and machine learning techniques have been proposed recently to effectively tackle this complexity. However, current architectures, applications and tools are not yet well adapted to such automatic tuning. Furthermore, data mining techniques require collection of a massive amount of data that is not trivial to process. Therefore, we are developing collaborative repositories and techniques that can transparently distribute characterization and optimization of applications and architectures among multiple users. We believe that such collaborative approaches will be vital for developing efficient Exascale computing systems and software. With this BOF, we would like to share our experience with some existing frameworks and how to improve them.

Session Leader Details:

Marie-Christine Sawley (Primary Session Leader) - Intel Corporation

Grigori Fursin (Secondary Session Leader) - INRIA

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