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Performance analysis of Java concurrent programming: a case study of video mining system

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5 Author(s)
Wenlong Li ; Intel China Res. Center, Intel Corp. ; Li, E. ; Ran Meng ; Tao Wang
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As multi/many core processors become prevalent, programming language is important in constructing efficient parallel applications. In this work, we build a multithreaded video mining application with Java, examine the thread profiling information and micro-architecture metrics to identify the factors limiting the scalability, and employ a number of ways to improve performance. Besides, we conduct some thread scheduling experiments. According to the experiments and detailed analysis, we conclude that for this video mining application: (1) Java is a good parallel language candidate for many core processors in terms of performance, scalability, and ease of programming; (2) Thread affinity mechanism is effective in improving data locality, but brings little benefit to multithreaded Java application due to its conservative memory model in JVM

Published in:

Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International

Date of Conference:

25-29 April 2006