Titlebook: Euro-Par 2003 Parallel Processing; 9th International Eu Harald Kosch,László B?sz?rményi,Hermann Hellwagner Conference proceedings 2003 Spri

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EventSpace – Exposing and Observing Communication Behavior of Parallel Cluster Applicationsnts demonstrate that a wind-tunnel application instrumented with event collectors, has insignificant slowdown due to data collection, and that monitors can reconfigure event scopes to trade-off between monitoring performance and perturbation.

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https://doi.org/10.1007/978-3-531-91862-4ng interoperability and heterogeneity problems in large scale, distributed environments. Major vendors have started to incorporate web service technology in their database and middleware products, and companies are starting to exploit the technology in information integration, EAI, and B2B-integrati

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https://doi.org/10.1007/978-3-7091-8019-8. Java’s high portability allows parallel applications to run on a heterogeneous grid without requiring porting or recompilation. A major problem in using Java for high-performance computing, however, is the inferior performance and limited expressiveness of Java’s Remote Method Invocation (RMI). Ea

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https://doi.org/10.33283/978-3-86298-650-7 is useful for system administrators to detect applications that need tuning. We present a case study using a parallel version of the Swim benchmark from the SPEC suite, running on an Intel Pentium III Linux cluster, where we show a performance improvement of 25%. In addition we present some intrusi

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, Die DDR und ihre Blockführungsmachtsis. ParaProf attempts to offer “best of breed” capabilities to performance analysts – those inherited from a rich history of single processor profilers and those being pioneered in parallel tools research. We present ParaProf as a parallel profile analysis framework that can be retargeted and exten

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Die DIN EN ISO 50001:2018 verstehenrison, automated performance diagnosis. However, little effort has been done to employ data repositories to organize and store performance data. This lack of systematic organization of data has hindered several aspects of performance analysis tools such as performance comparison, performance data sh