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

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

This e-book 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 awarded have been rigorously reviewed and chosen from 28 submissions. The papers deal with all issues on the topic of OpenMP, reminiscent of OpenMP functionality research and modeling, OpenMP functionality and correctness instruments and proposed OpenMP extensions, in addition to functions in a variety of domain names, e.g., medical computation, games, special effects, multimedia, info retrieval, optimization, textual content processing, information mining, finance, sign and photo processing, and numerical solvers.

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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.

V. Kozlov In the future, the new directives and compiler can be enhanced in several ways. Scheduling can be performed during runtime, making the approach even more flexible and adaptable. Communication costs should be integrated into the tasks construct to permit their consideration in scheduling. It is also desirable to unify the new construct with the taskq-task work-queueing concept [8]. Further, we are currently working on a plug-in for the Eclipse IDE that visualises the graph of the tasks construct and allows its easy modification.

This version, namely, version 2, will be discussed together with the first version in the results section. $omp do onthreads(t1:t2:1) do k=2,nz-1 solve for u in the current zone end do Fig. 1. 3 Subteam in OpenMP The subteam version was derived from the nested OpenMP version. Changes include replacing the inner level parallel regions with orphaned “omp do” constructs and adding the “onthreads” clause to specify the subteam composition. The sample subteam code is listed in the right panel of Fig.

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