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SCHEDULE: NOV 11-17, 2006

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Parallel Performance Wizard: A Performance Analysis Tool for Partitioned Global-Address-Space Programming Models

Session: Poster Reception

Event Type: Poster

Time: 5:15pm - 7:15pm

Author(s): Adam Leko, Hung-Hsun Su, Dan Bonachea, Bryan Golden, Max Billingsley, Alan George

Location: Ballroom Corridor

Abstract:
Scientific programmers must optimize the total time-to-solution, the combination of software development and refinement time and actual execution time. The increasing complexity at all levels of supercomputing architectures, coupled with advancements in sequential performance and a growing degree of hardware parallelism, has increasingly placed the bulk of the time-to-solution cost into the software development and tuning phase. Performance analysis tools have been useful for reducing the time-to-solution for message-passing applications; however, there is insufficient tool support for programs developed using Global-Address-Space (GAS) programming models. With the aim of maximizing user productivity, the Parallel Performance Wizard (PPW) fills this void by providing a full range of visualizations and analyses specifically designed for GAS models. To facilitate accurate instrumentation and measurement of GAS programs in PPW, a portable, model-independent performance tool interface (GASP) has been developed and successfully used with Berkeley UPC.




Chair/Author Details:

Adam Leko
University of Florida

Hung-Hsun Su
University of Florida

Dan Bonachea
UC Berkeley

Bryan Golden
University of Florida

Max Billingsley
University of Florida

Alan George
University of Florida






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