By Christian Terboven, Bronis R. de Supinski, Pablo Reble, Barbara M. Chapman, Matthias S. Müller
This booklet constitutes the refereed lawsuits of the eleventh foreign Workshop on OpenMP, held in Aachen, Germany, in October 2015.
The 19 technical complete papers provided have been rigorously reviewed and chosen from 22 submissions. The papers are prepared in topical sections on purposes, accelerator purposes, instruments, extensions, compiler and runtime, and energy.
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Additional info for OpenMP: Heterogenous Execution and Data Movements: 11th International Workshop on OpenMP, IWOMP 2015, Aachen, Germany, October 1–2, 2015, Proceedings
Unlike traditional OpenMP where threads are used for compute, we are using them as I/O threads to facilitate parallel oﬄoading. org. C. Jacob et al. Fig. 4. Pseudocode illustrating a search procedure from HMMER that is currently implemented using traditional MPI. Fig. 5. HMMER search pseudocode implemented using our proposed abstraction. 1, in which case only a single host thread is necessary. The worksharing construct implicitly partitions the database across nodes by distributing iterations of the DB loop across host threads.
6 presents the conclusion and future work. 0’s Accelerator Support OpenMP is a representative high-level directive-based programming model originally designed to address shared-memory programming. 0, it has a set of language directives and runtime routines aimed at simplifying the programming for accelerators. Collectively, the accelerator support is often called the OpenMP Accelerator Model. The OpenMP accelerator model assumes that a computation node has a host device connected with one or multiple target devices.
Gropp We then provided a guide for composing these scheduling strategies together. Our results showed on average 31 % performance improvements over static scheduling for three scientiﬁc applications. , exascale machines. The composition of existing scheduling strategies, as well as the invention of new scheduling strategies inspired by speciﬁc circumstances of current and future clusters of SMPs, could help ensure that the approach remains viable for these next-generation supercomputers. Acknowledgements.