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Facing the Multicore-Challenge II

Aspects of New Paradigms and Technologies in Parallel Computing

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  • © 2012

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  • high quality selected papers
  • state-of-the-art research
  • unique visibility

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7174)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

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Table of contents (14 chapters)

  1. Invited Contributions

  2. Parallel Programming Languages

  3. Manycore Technologies and FPGAs

  4. GPU Computing: Applications and Programming

  5. Parallel Applications and Numerical Methods

Keywords

About this book

This state-of-the-art survey features topics related to the impact of multicore, manycore, and coprocessor technologies in science and for large-scale applications in an interdisciplinary environment. The papers cover issues of current research in mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, hardware-aware computing, heterogeneous platforms, manycore technologies, performance tuning, and requirements for large-scale applications. The contributions presented in this volume offer a survey on the state of the art, the concepts and perspectives for future developments. They are an outcome of an inspiring conference conceived and organized by the editors at the Karlsruhe Institute Technology (KIT) in September 2011. The twelve revised full papers presented together with two contributed papers focus on combination of new aspects of microprocessor technologies, parallel applications, numerical simulation, and software development; thus they clearly show the potential of emerging technologies in the area of multicore and manycore processors that are paving the way towards personal supercomputing and very likely towards exascale computing.

Editors and Affiliations

  • High Performance Computing Center Stuttgart (HLRS), Universität Stuttgart, Stuttgart, Germany

    Rainer Keller

  • Institute of Computer Science and Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    David Kramer

  • Institute for Applied and Numerical Mathematics, SRG New Frontiers in High Performance Computing and Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    Jan-Philipp Weiss

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