Content-Based Video Indexing and Retrieval
IEEE MultiMedia
Memory system characterization of commercial workloads
Proceedings of the 25th annual international symposium on Computer architecture
Real-Time Parallel MPEG-2 Decoding in Software
IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
Threads cannot be implemented as a library
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
Performance Characterization of Java Applications on SMT Processors
ISPASS '05 Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2005
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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.