How OpenMP applications get more benefit from many-core era

Authors:
Jianian Yan;Jiangzhou He;Wentao Han;Wenguang Chen;Weimin Zheng
Affiliations:
Department of Computer Science and Technology, Tsinghua University, China;Department of Computer Science and Technology, Tsinghua University, China;Department of Computer Science and Technology, Tsinghua University, China;Department of Computer Science and Technology, Tsinghua University, China;Department of Computer Science and Technology, Tsinghua University, China
Venue:
IWOMP'10 Proceedings of the 6th international conference on Beyond Loop Level Parallelism in OpenMP: accelerators, Tasking and more
Year:
2010

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Abstract

With the approaching of the many-core era, it becomes more and more difficult for a single OpenMP application to efficiently utilize all the available processor cores. On the other hand, the available cores become more than necessary for some applications. We believe executing multiple OpenMP applications concurrently will be a common usage model in the future. In this model, how threads are scheduled on the cores are important as cores are asymmetric. We have designed and implemented a prototype scheduler, SWOMPS, to help schedule the threads of all the concurrent applications system-widely. The scheduler makes its decision based on underlying hardware configuration as well as the hints of scheduling preference of each application provided by users. Experiment evaluation shows SWOMPS is quite efficient in improving the performance. With the help of SWOMPS, we compared exclusive running one application and concurrent running multiple applications in term of system throughput and individual application performance. In various experimental comparisons, concurrent execution outperforms in throughput, meanwhile the performance slowdown of individual applications in concurrent execution is reasonable.