Predicting software performance in symmetric multi-core and multiprocessor Environments

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...

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Bibliographic Details
Main Author: Happe, Jens (auth)
Format: Book Chapter
Published: KIT Scientific Publishing 2009
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020 |a KSP/1000011806 
020 |a 9783866443815 
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041 0 |a English 
042 |a dc 
100 1 |a Happe, Jens  |4 auth 
245 1 0 |a Predicting software performance in symmetric multi-core and multiprocessor Environments 
260 |b KIT Scientific Publishing  |c 2009 
300 |a 1 electronic resource (IV, 291 p. p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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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546 |a English 
653 |a Multiprocessing System 
653 |a Operating System Scheduler 
653 |a Performance Prediction 
653 |a Coloured Petri Nets 
653 |a Multicore Processor 
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