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

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