By Barbara Chapman, Weimin Zheng, Guang R. Gao, Mitsuhisa Sato, Eduard Ayguadé, Dongsheng Wang
This e-book constitutes the completely refereed post-workshop lawsuits of the 3rd overseas Workshop on OpenMP, IWOMP 2007, held in Beijing, China, in June 2007.
The 14 revised complete papers and eight revised brief papers awarded have been conscientiously reviewed and chosen from 28 submissions. The papers handle all issues concerning OpenMP, equivalent to OpenMP functionality research and modeling, OpenMP functionality and correctness instruments and proposed OpenMP extensions, in addition to functions in a number of domain names, e.g., medical computation, games, special effects, multimedia, info retrieval, optimization, textual content processing, info mining, finance, sign and picture processing, and numerical solvers.
Read or Download A Practical Programming Model for the Multi-Core Era: 3rd International Workshop on OpenMP, IWOMP 2007, Beijing, China, June 3-7, 2007 Proceedings PDF
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Extra info for A Practical Programming Model for the Multi-Core Era: 3rd International Workshop on OpenMP, IWOMP 2007, Beijing, China, June 3-7, 2007 Proceedings
The “static” schedule without chunk size (the last bar in the graph) shows its limitation in dealing with unbalanced workload and is as much as 50% worse than the “dynamic,1” schedule. The “static,1” (or cyclic) schedule improves the performance but not suﬃciently. 2 Workload Ordering on Performance As noted in the benchmark description, the zone workload in BT-MZ was designed to be uneven. Class B contains 64 zones whose sizes, shown in Fig. 6 on the left, range from 3K to 60K mesh points. The right graph in Fig.
Our study also points out the importance of extending the Subteam proposal to include API for subteam creation and management. It is very encouraging that the more dynamic approach provided by the workqueuing model showed great potential in dealing with unbalanced workload. This model can beneﬁt from using a weight factor in scheduling tasks. For future work, we would like to conduct our experiments on more platforms, in particular to study the support of nested parallelism from diﬀerent compilers and runtime systems.
Further, the speedup curve saturates later the more task blocks are in the program. For example, the program with 20 task blocks saturates with 5 threads, whereas the program with 10 task blocks saturates with 3 threads. This is exactly the expected behaviour of such programs. The inherent concurrency is limited by the number of task blocks, but also by the dependences between them. With this in mind, very good speedups are achieved. For programs with more task blocks and similar dependence structure higher speedups can be expected.
A Practical Programming Model for the Multi-Core Era: 3rd International Workshop on OpenMP, IWOMP 2007, Beijing, China, June 3-7, 2007 Proceedings by Barbara Chapman, Weimin Zheng, Guang R. Gao, Mitsuhisa Sato, Eduard Ayguadé, Dongsheng Wang