Programmierung Massiv Paralleler Rechner Mit Shared Virtual Memory
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Programmierung Massiv Paralleler Rechner Mit Shared Virtual Memory
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Author : Hans Michael Gerndt
language : de
Publisher:
Release Date : 1998
Programmierung Massiv Paralleler Rechner Mit Shared Virtual Memory written by Hans Michael Gerndt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
Deutsche Nationalbibliographie Und Bibliographie Der Im Ausland Erschienenen Deutschsprachigen Ver Ffentlichungen
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Author :
language : de
Publisher:
Release Date : 1996
Deutsche Nationalbibliographie Und Bibliographie Der Im Ausland Erschienenen Deutschsprachigen Ver Ffentlichungen written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with German imprints categories.
Informatik 97 Informatik Als Innovationsmotor
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Author : Matthias Jarke
language : de
Publisher: Springer-Verlag
Release Date : 2013-03-13
Informatik 97 Informatik Als Innovationsmotor written by Matthias Jarke and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-13 with Computers categories.
Der Band enthält die Tagungsbeiträge zur 27. Jahrestagung der Gesellschaft für Informatik 1997. Schwerpunkte der Darstellung sind zentrale Forschungsergebnisse aus Hochschulen, Großforschungseinrichtungen und Industrie, wichtige Trends aus Hersteller- und Anwendersicht, Kooperation zwischen Schule, Hochschule und Praxis sowie Resultate, Chancen und Probleme europäischer Informatikprojekte.
Parcella 94
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Author : C. R. Jesshope
language : en
Publisher: De Gruyter Akademie Forschung
Release Date : 1994
Parcella 94 written by C. R. Jesshope and has been published by De Gruyter Akademie Forschung this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
The Parcella series is a forum for displaying the landscape of research in East European countries and is also a meeting place for exchanging ideas and initiating steps towards a future of broad scoped East-West co-operation in a unified Europe. Advanced supercomputing and the obtained software technology are of great importance for the East-West technological co-operation. It includes applications like energy and raw material resources planning and exploration modelling, material research (special metals, ceramics, semiconductors) and industrial supercomputing. These proceedings contain several recent research results on the topics of mathematical foundations of parallel computing, languages, programming, theory of algorithms, data flow, design of architectures and systems, memory and memory access, interconnection networks, routing, image processing and modelling, computational geometry, computer graphics, graphalgorithms, fault-tolerant computing, neurocomputing and connectionism, optical computing, scientific computation, applications in biology, physics, engineering, manufacturing systems, program packages and problem solving environments supporting scientific computations.
Verzeichnis Lieferbarer B Cher
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Author :
language : de
Publisher:
Release Date : 2002
Verzeichnis Lieferbarer B Cher written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Austria categories.
Government Reports Announcements Index
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Author :
language : en
Publisher:
Release Date : 1994
Government Reports Announcements Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Science categories.
High Level Programming Of Massively Parallel Computers Based On Shared Virtual Memory
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Author : Michael Gerndt
language : en
Publisher:
Release Date : 1997
High Level Programming Of Massively Parallel Computers Based On Shared Virtual Memory written by Michael Gerndt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Directions In Parallel Programming Hpf Shared Virtual Memory And Object Parallelism In Pc
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Author : Francois Bodin
language : en
Publisher:
Release Date : 1994
Directions In Parallel Programming Hpf Shared Virtual Memory And Object Parallelism In Pc written by Francois Bodin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Compilers (Computer programs) categories.
Abstract: "Fortran and C++ are the dominant programming languages used in scientific computation. Consequently, extensions to these languages are the most popular for programming massively parallel computers. We discuss two such approaches to parallel Fortran and one approach to C++. The High Performance Fortran Forum has designed HPF with the intent of supporting data parallelism on Fortan 90 applications. HPF works by asking the user to help the compiler distribute and align the data structures with the distributed memory modules in the system. Fortran-S takes a different approach in which the data distribution is managed by the operating system and the user provides annotations to indicate parallel control regions. In the case of C++, we look at pC++ which is based on a concurrent aggregate parallel model."
Programming Massively Parallel Processors
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Author : David B. Kirk
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-11-24
Programming Massively Parallel Processors written by David B. Kirk and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-24 with Computers categories.
Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs. Case studies demonstrate the development process, detailing computational thinking and ending with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth. For this new edition, the authors have updated their coverage of CUDA, including coverage of newer libraries, such as CuDNN, moved content that has become less important to appendices, added two new chapters on parallel patterns, and updated case studies to reflect current industry practices. - Teaches computational thinking and problem-solving techniques that facilitate high-performance parallel computing - Utilizes CUDA version 7.5, NVIDIA's software development tool created specifically for massively parallel environments - Contains new and updated case studies - Includes coverage of newer libraries, such as CuDNN for Deep Learning
Shared Memory Parallelism Can Be Simple Fast And Scalable
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Author : Julian Shun
language : en
Publisher: Morgan & Claypool
Release Date : 2017-06-01
Shared Memory Parallelism Can Be Simple Fast And Scalable written by Julian Shun and has been published by Morgan & Claypool this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-01 with Computers categories.
Parallelism is the key to achieving high performance in computing. However, writing efficient and scalable parallel programs is notoriously difficult, and often requires significant expertise. To address this challenge, it is crucial to provide programmers with high-level tools to enable them to develop solutions easily, and at the same time emphasize the theoretical and practical aspects of algorithm design to allow the solutions developed to run efficiently under many different settings. This thesis addresses this challenge using a three-pronged approach consisting of the design of shared-memory programming techniques, frameworks, and algorithms for important problems in computing. The thesis provides evidence that with appropriate programming techniques, frameworks, and algorithms, shared-memory programs can be simple, fast, and scalable, both in theory and in practice. The results developed in this thesis serve to ease the transition into the multicore era. The first part of this thesis introduces tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The second part of this thesis introduces Ligra, the first high-level shared memory framework for parallel graph traversal algorithms. The framework allows programmers to express graph traversal algorithms using very short and concise code, delivers performance competitive with that of highly-optimized code, and is up to orders of magnitude faster than existing systems designed for distributed memory. This part of the thesis also introduces Ligra+, which extends Ligra with graph compression techniques to reduce space usage and improve parallel performance at the same time, and is also the first graph processing system to support in-memory graph compression. The third and fourth parts of this thesis bridge the gap between theory and practice in parallel algorithm design by introducing the first algorithms for a variety of important problems on graphs and strings that are efficient both in theory and in practice. For example, the thesis develops the first linear-work and polylogarithmic-depth algorithms for suffix tree construction and graph connectivity that are also practical, as well as a work-efficient, polylogarithmic-depth, and cache-efficient shared-memory algorithm for triangle computations that achieves a 2–5x speedup over the best existing algorithms on 40 cores. This is a revised version of the thesis that won the 2015 ACM Doctoral Dissertation Award.