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OpenMP in a Heterogeneous World 8th International Workshop on OpenMP, IWOMP 2012, Rome, Italy, June 11-13, 2012. Proceedings by Barbara Chapman

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Published by Springer Berlin Heidelberg in Berlin, Heidelberg .
Written in English


  • Programming Techniques,
  • Processor Architectures,
  • Algorithm Analysis and Problem Complexity,
  • Computer system performance,
  • Computation by Abstract Devices,
  • Computer science,
  • Programming Languages, Compilers, Interpreters,
  • System Performance and Evaluation,
  • Computer software

Book details:

Edition Notes

Statementedited by Barbara M. Chapman, Federico Massaioli, Matthias S. Müller, Marco Rorro
SeriesLecture Notes in Computer Science -- 7312
ContributionsMassaioli, Federico, Müller, Matthias S., Rorro, Marco, SpringerLink (Online service)
The Physical Object
Format[electronic resource] :
ID Numbers
Open LibraryOL27078731M
ISBN 109783642309618

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  OpenMP in a heterogeneous world: 8th International Workshop on OpenMP, IWOMP , Rome, Italy, June , Proceedings. [Barbara Chapman;] -- This book constitutes the refereed proceedings of the 8th International Workshop on OpenMP, held in in Rome, Italy, in June   Get this from a library! OpenMP in a Heterogeneous World: 8th International Workshop on OpenMP, IWOMP , Rome, Italy, June , Proceedings. [Barbara M Chapman; Federico Massaioli; Matthias S Müller; Marco Rorro] -- This book constitutes the refereed proceedings of the 8th International Workshop on OpenMP, held in in Rome, Italy, in June Heterogeneous Programming with OpenMP* Dr.-Ing. Michael Klemm Senior Application Engineer Software and Services Group (@) *Other brands and names are the property of their respective owners. How to become a parallel programmer by learning the twenty-one essential components of OpenMP. This book guides readers through the most essential elements of OpenMP—the twenty-one components that most OpenMP programmers use most of the time, known collectively as the “OpenMP Common Core.” Once they have mastered these components, readers with no prior experience writing parallel .

OpenMP for next generation heterogeneous clusters Jens Breitbart The world memory joined with tiling and the automatic intra-tile parallelization allows for one program to scale from a single multi-core CPU to e.g. a GPU cluster. Besides allowing scalability, the major design goal. This paper advances the state-of-the-art in programming models for exploiting task-level parallelism on heterogeneous many-core systems, presenting a number of extensions to the OpenMP language inspired in the StarSs programming model. The proposed extensions allow the programmer to write portable code easily for a number of different platforms, relieving him/her from developing the specific. OpenMP Books T+ OpenMP Common Core: Making OpenMP Simple Again – by Tim Mattson, Helen He, Alice Koniges () Using OpenMP – The Next Step – by Ruud van der Pas, Eric Stotzer and Christian Terboven (). I would now like to switch to parallel program design, but I haven't really found a book that would help me make this jump. I have looked at Chandra's book on Parallel programming in OpenMP and Michael J. Quinn's book on programming in C with Open Mp and MPI, but I was wondering if there was a better alternative to these g: Heterogeneous.

The IWOMP proceedings book is dealing with OpenMP, a widely accepted standard application programming interface. The contributions focus loops; heterogeneous systems; improvements and innovations; userexperiences with applications and tools; and tasking evaluations. GPGPU Heterogeneous programming ›We need a programming model that provides 1. Simple and generic offloading subroutines 2. An easy way to write code which runs on thousand threads (might be arranged in clusters) 3. A way to exploit the NUMA hierarchy (if any) Heterogeneous programing with OpenMP Author: Pol. Created Date. Int J Parallel Prog DOI /s Extending OpenMP to Survive the Heterogeneous Multi-Core Era Eduard Ayguadé Rosa M. Badia Pieter Bellens Daniel Cabrera Alejandro Duran Roger Ferrer Marc Gonzàlez Francisco Igual Daniel Jiménez-González Jesús Labarta Luis Martinell Xavier Martorell Rafael Mayo Josep M. Pérez Judit Planas . HetroOMP: OpenMP for Hybrid Load Balancing Across Heterogeneous Processors Vivek Kumar1(B), Abhiprayah Tiwari1, and Gaurav Mitra2 1 IIIT-Delhi, New Delhi, India [email protected] 2 Texas Instruments, Houston, USA Abstract. The OpenMP accelerator model enables an efficient method of offloading computation from host CPU cores to accelerator devices.