Further Improving the Scalability of the Scalasca Toolset

Although, Scalasca was already successfully used with codes running with 294,912 cores on a 72-rack Blue Gene/P system, the current software design shows scalability limitations that adversely an affect user experience and that will present a serious obstacle on the way to mastering larger scales in the future. In this paper, the authors outline how to address the two most important ones, namely the unification of local identifiers at measurement finalization as well as collating and displaying analysis reports.

Provided by: Aachen University Topic: Data Centers Date Added: Oct 2011 Format: PDF

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