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Multithreading ArchitectureExperimentation and Metrics

Multithreading Architecture: Experimentation and Metrics [Multithreaded execution poses several challenges for measuring, simulating, and reporting performance, particularly when running a multiprogrammed workload in a simulated environment—e.g., one which measures instruction throughput over an interval rather than full runtimes. These issues are not isolated to hardware mulithreaded architectures, but are shared by any multiprocessor. However, most multiprocessor research, particularly before multicores, ran or simulated parallel benchmarks—with parallel benchmarks these issues are less of an issue, if at all. As a result, these issues were first exposed and explored at length in the multithreading research.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Multithreading ArchitectureExperimentation and Metrics

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2013
ISBN
978-3-031-00610-4
Pages
61 –65
DOI
10.1007/978-3-031-01738-4_8
Publisher site
See Chapter on Publisher Site

Abstract

[Multithreaded execution poses several challenges for measuring, simulating, and reporting performance, particularly when running a multiprogrammed workload in a simulated environment—e.g., one which measures instruction throughput over an interval rather than full runtimes. These issues are not isolated to hardware mulithreaded architectures, but are shared by any multiprocessor. However, most multiprocessor research, particularly before multicores, ran or simulated parallel benchmarks—with parallel benchmarks these issues are less of an issue, if at all. As a result, these issues were first exposed and explored at length in the multithreading research.]

Published: Jan 1, 2013

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