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We take a look at the performance analysis tools Vampir, Scalasca, Sun Performance Analyzer and the Intel Trace Analyzer and Collector, which provide execution analysis of parallel programs for optimization and scaling purposes. We investigate, from a novice user?s point of view, to what extent these tools support frequently used programming languages and constructs, discuss their performance impact and the insight these tools provide focusing on the instrumentation and program analysis. For this we analyzed codes currently used at the RWTH Aachen University: XNS, DROPS and HPL
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