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Performance instrumentation techniques for parallel systems

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IFIP Lecture Notes in Computer Science (LNCS)
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Abstract

Although the nascent state of parallel systems makes empirical performance measurement, analysis and tuning critical, rapid technological evolution, coupled with short product life cycles, has often made it difficult to isolate fundamental experimental principles from implementation artifacts. By definition, the apparatus for experimental performance analysis (i.e., instrumentation specification, data buffering, timestamp generation, and data extraction) is shaped by the intended experiment and the object of study. In some environments, certain experiments are not feasible. Balancing the volume of captured performance data against its accuracy and timeliness requires both appropriate tools and an understanding of instrumentation costs, implementation alternatives, and support infrastructure.Full Text at Springer, may require registration or fee

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