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Predicting software performance in symmetric multi-core and multiprocessor Environments|Jens Happe

Predicting software performance in symmetric multi-core and multiprocessor Environments

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Overview

With today's rise of multi-core processors, concurrency becomes a ubiquitous challenge in software development.Performance prediction methods have to reflect the influence of multiprocessing environments on software performance in order to help software architects to find potential performance problems during early development phases. In this thesis, we address the influence of the operating system scheduler on software performance in symmetric multiprocessing environments.

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Details

  • ISBN-13: 9783866443815
  • ISBN-10: 3866443811
  • Publisher: Karlsruher Institut Fur Technologie
  • Publish Date: August 2014
  • Dimensions: 8.27 x 5.83 x 0.63 inches
  • Shipping Weight: 0.79 pounds
  • Page Count: 300

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