Titlebook: Euro-Par 2007 Parallel Processing; 13th International E Anne-Marie Kermarrec,Luc Bougé,Thierry Priol Conference proceedings 2007 Springer-V

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Detecting Application Load Imbalance on High End Massively Parallel Systemsss a new set of metrics that we defined to identify and measure application load imbalance. We then describe the extensions that were made to the Cray performance measurement and analysis infrastructure to detect application load imbalance and present to the user in an insightful way.

cluster

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https://doi.org/10.1007/978-94-010-3682-5read schedulers. It provides a powerful API for dynamically distributing bubbles among the machine in a high-level, portable, and efficient way. Several examples show how experts can then develop, debug and tune their own portable ..

Obsequious

Anhang: Tabellen, Tafeln und Abbildungen,t (PMU) provided by modern processors, . is capable of finding cache-critical variables, arrays, or even a segment of an array. It can also locate theses access hotspots to the most concrete position such as individual functions and code lines. This feature allows the user to apply . for efficient cache optimization.

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,Wirtschaftliche Ausnützung der Drehbank,mbining experimental data for reduce and broadcast and generating a decision function from the combined decision trees resulted in less than 2.5% relative performance penalty. The results indicate that C4.5 decision trees are applicable to this problem and should be more widely used in this domain.

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