NDLI: Accurately evaluating application performance in simulated hybrid multi-tasking systems

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Accurately evaluating application performance in simulated hybrid multi-tasking systems

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Accurately evaluating application performance in simulated hybrid multi-tasking systems

Content Provider	ACM Digital Library
Author	Adriaens, Jacob Rupnow, Kyle Fu, Wenyin Compton, Katherine
Abstract	Evaluating the performance of reconfigurable computing applications in multi-tasking systems using simulation (as can be needed in early design-space exploration) faces several challenges. The complexity of full-system, cycle-accurate simulation prevents executing applications of any appreciable size to completion. One must sample only a portion of execution; yet unless care is taken, the measured performance for the sampled interval will not be indicative of the complete execution. Although this is generally a problem for simulation-based evaluation, the problem is exacerbated for multi-tasking systems. This paper therefore presents work to develop a performance evaluation methodology that accurately measures hybrid (both hardware and software) application performance, accounts for additional overhead introduced by hybrid resource management (such as run-time allocation of reconfigurable hardware), and correctly compensates for momentary imbalances in processor time allocation that are only artifacts of the (necessarily) short simulated execution timespan and would balance out over time.
Starting Page	135
Ending Page	144
Page Count	10
File Format	PDF
ISBN	9781605589114
DOI	10.1145/1723112.1723136
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-02-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Performance evaluation Heterogeneous systems Hybrid systems Full system simulation Multi-tasking systems
Content Type	Text
Resource Type	Article

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