By Barbara Chapman, Weimin Zheng, Guang R. Gao, Mitsuhisa Sato, Eduard Ayguadé, Dongsheng Wang
This ebook 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 deal with all subject matters concerning OpenMP, akin 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, details retrieval, optimization, textual content processing, information mining, finance, sign and snapshot 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
For tasks we propose the possibility of tagging a task as a transaction, using the same clause speciﬁed above. 4 Nebelung Library Interface and Behavior In order to have a complete execution environment supporting transactional memory, we have implemented our own STM library, named Nebelung. A detailed explanation of the library and its implementation is out of the scope for this paper; therefore we present the relevant issues here. The library satisﬁes the interface presented in the Figure 3. Nebelung library is typeless (work on a byte level) so we also developed wrapper functions read and write around readtx and writetx, which cast results into the proper types.
Table 1. 124 Compiler option -restrict -fno-alias -restrict -fno-alias Figure 7 compares the Intel Taskq version of BT-MZ with the single-level OpenMP versions (both C and Fortran) using dynamic scheduling for load balancing. It is encouraging to note that the Taskq version has similar performance to the single-level OpenMP C version using the “dynamic,1” schedule up to 32 threads. Only at 64 threads the dynamic-schedule version outperforms the Taskq version by about 20%. As illustrated by the two panels in the ﬁgure, sorting workload into descending order improves overall performance for Taskq as well.
The use of the “schedule(runtime)” clause allows us to compare diﬀerent OpenMP loop schedules. A “zone_sort_id” array is used to store zone ids in diﬀerent sorting schemes. ); }} Fig. 2. 5 Workqueuing Model We developed a Taskq version of the BT-MZ benchmark based on the Intel workqueuing model. Because Intel implemented Taskq only in its C++ compiler for C/C++ applications and there is no other vendor compiler available for testing the concept, we had to ﬁrst convert the Fortran implementation of BT-MZ to the C counterpart.