Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2010-01-13
International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 3, pp. 165-170, December 2009, USA
Computer Science
Distributed, Parallel, and Cluster Computing
6 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS December 2009, ISSN 1947 5500,
Scientific paper
In present study, in order to improve the performance and reduce the amount of power which is dissipated in heterogeneous multicore processors, the ability of detecting the program execution phases is investigated. The programs execution intervals have been classified in different phases based on their throughput and the utilization of the cores. The results of implementing the phase detection technique are investigated on a single core processor and also on a multicore processor. To minimize the profiling overhead, an algorithm for the dynamic adjustment of the profiling intervals is presented. It is based on the behavior of the program and reduces the profiling overhead more than three fold. The results are obtained from executing multiprocessor benchmarks on a given processor. In order to show the program phases clearly, throughput and utilization of execution intervals are presented on a scatter plot. The results are presented for both fixed and variable intervals.
Analoui Morteza
Jooya A. Z.
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