By Barbara Chapman, Weimin Zheng, Guang R. Gao, Mitsuhisa Sato, Eduard Ayguadé, Dongsheng Wang
This publication constitutes the completely refereed post-workshop complaints 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 offered have been conscientiously reviewed and chosen from 28 submissions. The papers tackle all subject matters on the topic of OpenMP, corresponding to OpenMP functionality research and modeling, OpenMP functionality and correctness instruments and proposed OpenMP extensions, in addition to functions in numerous domain names, e.g., clinical computation, games, special effects, multimedia, details retrieval, optimization, textual content processing, info mining, finance, sign and snapshot processing, and numerical solvers.
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Extra resources for A Practical Programming Model for the Multi-Core Era: 3rd International Workshop on OpenMP, IWOMP 2007, Beijing, China, June 3-7, 2007 Proceedings
Threads assigned to each subteam will work on loop-level parallelism within each zone. There is no overlapping of thread ids among diﬀerent subteams. Similar to the nested OpenMP version, the routine “exch_qbc” uses direct array copy and proper global barrier synchronization for boundary communication. 4 29 OpenMP at Outer Level One of the advantages of OpenMP is its ability to handle unbalanced workload in a dynamic fashion without much user intervention. The programming eﬀort is much less than the explicit approach described in previous sections for handling load balance.
A natural extension is to investigate the performance characteristics of nested parallelism under the workqueuing model. It is also important to extend our experience from a single benchmark application to more realistic applications. Acknowledgements The authors would like to acknowledge fruitful discussions with Robert Hood, Johnny Chang, and support from the staﬀ at NAS division for many experiments conducted on the Columbia supercomputer. References 1. : Employing Nested OpenMP for the Parallelization of Multi-Zone Computational Fluid Dynamics Applications.
22 O. Sinnen, J. V. 3 Results In the following the major results are presented and discussed. e. number of task blocks. The density is fixed to 1 and the weight distribution variance is medium. Fig. 4. Speedup over number of threads for programs of different sizes, density 1 and medium weight variance All programs show the same qualitative behaviour: the speedup increases more or less linearly with the number of threads until a saturation point is reached. After this point, the speedup remains the same, even if more threads are used for the execution.