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 foreign 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 themes on the topic of OpenMP, resembling OpenMP functionality research and modeling, OpenMP functionality and correctness instruments and proposed OpenMP extensions, in addition to functions in quite a few domain names, e.g., clinical computation, games, special effects, multimedia, info retrieval, optimization, textual content processing, facts mining, finance, sign and picture processing, and numerical solvers.
Read Online 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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Additional 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
1. The outer level parallelization is adopted from the MPI approach: workloads from zones are explicitly distributed among the outer-level threads. The diﬀerence is that OpenMP now works on the shared data space as opposed to private data in the MPI version. The load balancing is done statically through the same bin-packing algorithm where zones are ﬁrst sorted by size, then assigned to the least loaded thread one by one. The routine “map_zones” returns the number and list of zones (num_proc_zones and proc_zone_id) assigned to a given thread (myid) as well as the number of threads (nthreads) for the inner parallel regions.
Another potential way to reduce overhead associated with nested parallel regions is by predeﬁning a thread tree structure as proposed in  and  so that the runtime can perform better scheduling optimization. The approach based on the Subteam extension to OpenMP overcame some of the limitations with nested OpenMP and showed promise in achieving performance close to that of the hybrid MPI+OpenMP method. Our study also points out the importance of extending the Subteam proposal to include API for subteam creation and management.
Beyond these two main approaches, two additional mixed approaches have recently been considered. Hybrid Transactional Memory (HyTM) ,  supports transactional execution that generally occurs using HTM transaction but which backs oﬀ to STM transactions when hardware resources are exceeded. Hardware-assisted STM (HaSTM) combines STM with new architectural support to accelerate parts of the STMs implementation , . These designs are both active research topics and provide very diﬀerent performance characteristics: HyTM provides near-HTM performance for short transactions, but a “performance cliﬀ” when falling back to STM.