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Beyond Loop Level Parallelism in OpenMP: Accelerators, Tasking and More [electronic resource] /

Contributor(s): Material type: TextTextSeries: Programming and Software Engineering ; 6132Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010Edition: 1st ed. 2010Description: 187 p. 121 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642132179
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 004.6 23
LOC classification:
  • TK5105.5-5105.9
Online resources:
Contents:
Sixth International Workshop on OpenMP IWOMP 2010 -- Enabling Low-Overhead Hybrid MPI/OpenMP Parallelism with MPC -- A ROSE-Based OpenMP 3.0 Research Compiler Supporting Multiple Runtime Libraries -- Binding Nested OpenMP Programs on Hierarchical Memory Architectures -- A Proposal for User-Defined Reductions in OpenMP -- An Extension to Improve OpenMP Tasking Control -- Towards an Error Model for OpenMP -- How OpenMP Applications Get More Benefit from Many-Core Era -- Topology-Aware OpenMP Process Scheduling -- How to Reconcile Event-Based Performance Analysis with Tasking in OpenMP -- Fuzzy Application Parallelization Using OpenMP -- Hybrid Parallel Programming on SMP Clusters Using XPFortran and OpenMP -- A Case for Including Transactions in OpenMP -- OMPCUDA : OpenMP Execution Framework for CUDA Based on Omni OpenMP Compiler.
In: Springer Nature eBook
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Sixth International Workshop on OpenMP IWOMP 2010 -- Enabling Low-Overhead Hybrid MPI/OpenMP Parallelism with MPC -- A ROSE-Based OpenMP 3.0 Research Compiler Supporting Multiple Runtime Libraries -- Binding Nested OpenMP Programs on Hierarchical Memory Architectures -- A Proposal for User-Defined Reductions in OpenMP -- An Extension to Improve OpenMP Tasking Control -- Towards an Error Model for OpenMP -- How OpenMP Applications Get More Benefit from Many-Core Era -- Topology-Aware OpenMP Process Scheduling -- How to Reconcile Event-Based Performance Analysis with Tasking in OpenMP -- Fuzzy Application Parallelization Using OpenMP -- Hybrid Parallel Programming on SMP Clusters Using XPFortran and OpenMP -- A Case for Including Transactions in OpenMP -- OMPCUDA : OpenMP Execution Framework for CUDA Based on Omni OpenMP Compiler.

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