Beyond Loop Level Parallelism in OpenMP: Accelerators, by Patrick Carribault, Marc Pérache, Hervé Jourdren (auth.), PDF

By Patrick Carribault, Marc Pérache, Hervé Jourdren (auth.), Mitsuhisa Sato, Toshihiro Hanawa, Matthias S. Müller, Barbara M. Chapman, Bronis R. de Supinski (eds.)

ISBN-10: 3642132162

ISBN-13: 9783642132162

ISBN-10: 3642132170

ISBN-13: 9783642132179

This e-book constitutes the refereed lawsuits of the sixth foreign Workshop on OpenMP, IWOMP 2010, held in Tsukuba urban, Japan, in June 2010. The papers are equipped in topical sections on Runtime and Optimization, Proposed Extensions to OpenMP, Scheduling and function, in addition to Hybrid Programming and Accelerators with OpenMP.

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The data is accessed and loaded from remote memory. This does not improve when using four sockets. On the Tigerton machine the initialization is not important, because it is an SMP machine, achieving a higher total memory bandwidth when all sockets are used. On the other hand, for 16 threads we see, on the Barcelona machine, that the placement of threads is important. e. 1x16 and 16x1, the difference is not as high as for the other cases. We observe an advantage of 50% - 70% in the nested cases 2x8, 4x4 and 8x2.

Sato et al. ): IWOMP 2010, LNCS 6132, pp. 43–55, 2010. c Springer-Verlag Berlin Heidelberg 2010 44 A. Duran et al. implementation can no longer adapt the reduction algorithm to the specific aspects of the execution (e. , thread count or architecture). In this paper, we propose extensions to OpenMP that eliminate this limitation. Our solution provides an additional OpenMP declarative directive declare reduction that specifies that a binary function (a UDR operator) can be used as a User-Defined Reduction (UDR).

0 , 0 . 0}; for ( s i z e t i = 0 ; i < N ; i ++) { sum = c o m p l e x a d d ( sum , a r r a y [ i ] ) ; p r d = c o mp l e x mu l ( prd , a r r a y [ i ] ) ; } p a r t s u m [ o m p g e t t h r e a d n u m ( ) ] = sum ; p a r t p r d [ omp get thread num ( ) ] = prd ; 22 23 24 25 26 27 28 29 30 parallel shared ( p a r t s u m , p a r t p r d ) private ( sum , p r d ) } } f o r ( i n t t h r = 0 ; t h r < n t h r e a d s ; t h r ++) { sum = c o m p l e x a d d ( sum , p a r t s u m [ t h r ] ) ; p r d = c o mp l e x m u l ( prd , p a r t p r d [ t h r ] ) ; } Fig.

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Beyond Loop Level Parallelism in OpenMP: Accelerators, Tasking and More: 6th Internationan Workshop on OpenMP, IWOMP 2010, Tsukuba, Japan, June 14-16, 2010 Proceedings by Patrick Carribault, Marc Pérache, Hervé Jourdren (auth.), Mitsuhisa Sato, Toshihiro Hanawa, Matthias S. Müller, Barbara M. Chapman, Bronis R. de Supinski (eds.)


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