Download e-book for iPad: A Practical Programming Model for the Multi-Core Era: 3rd by Barbara Chapman, Weimin Zheng, Guang R. Gao, Mitsuhisa Sato,

By Barbara Chapman, Weimin Zheng, Guang R. Gao, Mitsuhisa Sato, Eduard Ayguadé, Dongsheng Wang

ISBN-10: 3540693025

ISBN-13: 9783540693024

ISBN-10: 3540693033

ISBN-13: 9783540693031

This ebook constitutes the completely refereed post-workshop complaints 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 handle all subject matters regarding OpenMP, akin to OpenMP functionality research and modeling, OpenMP functionality and correctness instruments and proposed OpenMP extensions, in addition to purposes in quite a few domain names, e.g., clinical computation, games, special effects, multimedia, info retrieval, optimization, textual content processing, information mining, finance, sign and snapshot processing, and numerical solvers.

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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

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Task Scheduling for Parallel Systems. Wiley, Chichester (2007) 10. : Optimal scheduling of task graphs on parallel systems. In: Proc. Int. Conference on Parallel and Distributed Computing and Networks, Innsbruck, Austria (February 2007) 11. : Compiler support for workqueuing execution model for Intel SMP architectures. In: Proc. edu Abstract. We describe a performance study of a multi-zone application benchmark implemented in several OpenMP approaches that exploit multi-level parallelism and deal with unbalanced workload.

Milovanovi´c et al. #pragma omp transaction { ux = (a2->dx -a1->dx)*lambda + (a2->x -a1->x); r =one/( ux*ux + uy*uy + uz*uz); r0 = sqrt(r); ux = ux*r0; k = -dielectric*a1->q*a2->q*r; r = r*r*r; k = k + a1->a*a2->a*r*r0*six; k = k - a1->b*a2->b*r*r*r0*twelve; a1fx = a1fx + ux*k; a2->fx = a2->fx - ux*k; } (a) { startTransaction(); {write(t, &ux, (*read(t, &((*read(t, &a2))->dx))*read(t, &( ( *read(t, &a1))->dx))) * *read(t,&lambda)+(*read(t,&((*read(t,&a2))->x))*read(t, &( ( *read(t, &a1)) ->x)))); write(t, &r, *read(t, &one) /( *read(t, &ux) * *read(t, &ux) + *read(t, &uy) * *read(t, &uy) + *read(t, &uz) * *read(t, &uz) )); write(t, &r0, sqrt( *read(t, &r) )); write(t, &ux, *read(t, &ux) * *read(t, &r0) ); write(t, &k, - *read(t, &dielectric) * *read(t, &( ( *read(t, &a1) ) ->q) ) * *read(t, &( ( *read(t, &a2) ) ->q) ) * *read(t, &r) ); write(t, &r, *read(t, &r) * *read(t, &r) * *read(t, &r) ); write(t, &k, *read(t, &k) + *read(t, &( ( *read(t, &a1))->a) ) * *read(t, &( ( *read(t, &a2))->a) ) * *read(t, &r)* *read(t, &r0) * *read(t, &six)); write(t, &k, *read(t, &k) *read(t, &((*read(t, &a1))->b) ) * *read(t, &((*read(t, &a2))->b) ) * *read(t, &r) * *read(t, &r) * *read(t, &r0) * *read(t, &twelve)); write(t, &a1fx, *read(t, &a1fx)+ *read(t, &ux)* *read(t, &k) ); write(t, &( ( *read(t, &a2) ) ->fx ) , *read(t, &( ( *read(t, &a2) ) ->fx) ) *read(t, &ux) * *read(t, &k) ); } endTransaction(); } (b) Fig.

The hybrid version is fully described in Ref. [6] and is part of the standard NPB distribution. We will use the hybrid version as the baseline for comparison with other OpenMP implementations. 2 Nested OpenMP The nested OpenMP implementation is based on the two-level approach of the hybrid version except that OpenMP is used for both levels of parallelism. The inner level parallelization for loop parallelism within each zone is essentially the same as that of the hybrid version. The only addition is the “num_threads” clause to each inner parallel region to specify the number of threads.

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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


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