Titlebook: OpenMP: Heterogenous Execution and Data Movements; 11th International W Christian Terboven,Bronis R. de Supinski,Matthias Conference proce

GOAT

Christian Terboven,Bronis R. de Supinski,Matthias Includes supplementary material:

摊位

garrulous

PAGANtec: OpenMP Parallel Error Correction for Next-Generation Sequencing Dataion of next-generation sequencing data, based on the novel PAGAN graph structure. PAGANtec was parallelized with OpenMP and a performance analysis and tuning was done. The analysis led to the awareness, that OpenMP tasks are a more suitable paradigm for this work than traditional work-sharing.

Asseverate

First Experiences Porting a Parallel Application to a Hybrid Supercomputer with OpenMP4.0 Device Conn doing so, we provide a user-centric introduction to the device constructs and an overview of the approach needed to port a parallel application using these. Some contrasts with OpenACC are also drawn to aid those wishing to either implement both programming models or to migrate from one to the other.

雪崩

Lessons Learned from Implementing OMPD: A Debugging Interface for OpenMPptual levels of OpenMP by mediating the tools and OpenMP runtime library. In this paper, we present our experiences and the issues that we have found on implementing an OMPD library prototyp for a commonly used OpenMP runtime and a parallel debugger.

Bouquet

强壮

Evaluating the Impact of OpenMP 4.0 Extensions on Relevant Parallel Workloadsuite and showing the performance benefits. This paper also shows performance trade-offs between the OmpSs/OpenMP tasking and loop parallelism constructs and shows how a hybrid implementation that combines both approaches is sometimes the best option.

gorgeous

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0302-9743 n, Germany, in October 2015. ..The 19 technical full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on applications, accelerator applications, tools, extensions, compiler and runtime, and energy..978-3-319-24594-2978-3-319-2459

热心助人

Composing Low-Overhead Scheduling Strategies for Improving Performance of Scientific Applicationsheduling strategy on standard benchmarks and application codes. Applying the composed scheduling strategy to three MPI+OpenMP scientific codes run on a cluster of SMPs improves performance an average of 31 % over standard OpenMP static scheduling.