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    Languages, Compilers and Run-time Environments for Distributed Memory Machines
    High Performance Computing: Technology, Methods and Applications
    Parallel Algorithms for Numerical Linear Algebra
    Ebook series3 titles

    Advances in Parallel Computing Series

    By Elsevier Science

    ()

    About this series

    The book deals with the most recent technology of distributed computing.
    As Internet continues to grow and provide practical connectivity between users of computers it has become possible to consider use of computing resources which are far apart and connected by Wide Area Networks.
    Instead of using only local computing power it has become practical to access computing resources widely distributed. In some cases between different countries in other cases between different continents.
    This idea of using computer power is similar to the well known electric power utility technology. Hence the name of this distributed computing technology is the Grid Computing.
    Initially grid computing was used by technologically advanced scientific users.
    They used grid computing to experiment with large scale problems which required high performance computing facilities and collaborative work.
    In the next stage of development the grid computing technology has become effective and economically attractive for large and medium size commercial companies.
    It is expected that eventually the grid computing style of providing computing power will become universal reaching every user in industry and business.

    * Written by academic and industrial experts who have developed or used grid computing
    * Many proposed solutions have been tested in real life applications
    * Covers most essential and technically relevant issues in grid computing
    LanguageEnglish
    PublisherElsevier Science
    Release dateJun 28, 2014
    Languages, Compilers and Run-time Environments for Distributed Memory Machines
    High Performance Computing: Technology, Methods and Applications
    Parallel Algorithms for Numerical Linear Algebra

    Titles in the series (3)

    • 1

      Parallel Algorithms for Numerical Linear Algebra
      Parallel Algorithms for Numerical Linear Algebra

      Parallel Algorithms for Numerical Linear Algebra

      Elsevier Books Reference
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      This is the first in a new series of books presenting research results and developments concerning the theory and applications of parallel computers, including vector, pipeline, array, fifth/future generation computers, and neural computers. All aspects of high-speed computing fall within the scope of the series, e.g. algorithm design, applications, software engineering, networking, taxonomy, models and architectural trends, performance, peripheral devices. Papers in Volume One cover the main streams of parallel linear algebra: systolic array algorithms, message-passing systems, algorithms for parallel shared-memory systems, and the design of fast algorithms and implementations for vector supercomputers.

      This is the first in a new series of books presenting research results and developments concerning the theory and applications of parallel computers, including vector, pipeline, array, fifth/future generation computers, and neural computers. All aspects of high-speed computing fall within the scope of the series, e.g. algorithm design, applications, software engineering, networking, taxonomy, models and architectural trends, performance, peripheral devices. Papers in Volume One cover the main streams of parallel linear algebra: systolic array algorithms, message-passing systems, algorithms for parallel shared-memory systems, and the design of fast algorithms and implementations for vector supercomputers.

    • 3

      Languages, Compilers and Run-time Environments for Distributed Memory Machines
      Languages, Compilers and Run-time Environments for Distributed Memory Machines

      Languages, Compilers and Run-time Environments for Distributed Memory Machines

      Elsevier Books Reference
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      Papers presented within this volume cover a wide range of topics related to programming distributed memory machines. Distributed memory architectures, although having the potential to supply the very high levels of performance required to support future computing needs, present awkward programming problems. The major issue is to design methods which enable compilers to generate efficient distributed memory programs from relatively machine independent program specifications. This book is the compilation of papers describing a wide range of research efforts aimed at easing the task of programming distributed memory machines.

      Papers presented within this volume cover a wide range of topics related to programming distributed memory machines. Distributed memory architectures, although having the potential to supply the very high levels of performance required to support future computing needs, present awkward programming problems. The major issue is to design methods which enable compilers to generate efficient distributed memory programs from relatively machine independent program specifications. This book is the compilation of papers describing a wide range of research efforts aimed at easing the task of programming distributed memory machines.

    • 10

      High Performance Computing: Technology, Methods and Applications
      High Performance Computing: Technology, Methods and Applications

      High Performance Computing: Technology, Methods and Applications

      Elsevier Books Reference
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      High Performance Computing is an integrated computing environment for solving large-scale computational demanding problems in science, engineering and business. Newly emerging areas of HPC applications include medical sciences, transportation, financial operations and advanced human-computer interface such as virtual reality. High performance computing includes computer hardware, software, algorithms, programming tools and environments, plus visualization. The book addresses several of these key components of high performance technology and contains descriptions of the state-of-the-art computer architectures, programming and software tools and innovative applications of parallel computers. In addition, the book includes papers on heterogeneous network-based computing systems and scalability of parallel systems. The reader will find information and data relative to the two main thrusts of high performance computing: the absolute computational performance and that of providing the most cost effective and affordable computing for science, industry and business. The book is recommended for technical as well as management oriented individuals.

      High Performance Computing is an integrated computing environment for solving large-scale computational demanding problems in science, engineering and business. Newly emerging areas of HPC applications include medical sciences, transportation, financial operations and advanced human-computer interface such as virtual reality. High performance computing includes computer hardware, software, algorithms, programming tools and environments, plus visualization. The book addresses several of these key components of high performance technology and contains descriptions of the state-of-the-art computer architectures, programming and software tools and innovative applications of parallel computers. In addition, the book includes papers on heterogeneous network-based computing systems and scalability of parallel systems. The reader will find information and data relative to the two main thrusts of high performance computing: the absolute computational performance and that of providing the most cost effective and affordable computing for science, industry and business. The book is recommended for technical as well as management oriented individuals.

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