Node Assignment in Heterogeneous Computing

Node Assignment in Heterogeneous Computing
Title Node Assignment in Heterogeneous Computing PDF eBook
Author Sukhamoy Som
Publisher
Pages 44
Release 1993
Genre
ISBN

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Node Assignment in Heterogeneous Computing

Node Assignment in Heterogeneous Computing
Title Node Assignment in Heterogeneous Computing PDF eBook
Author National Aeronautics and Space Administration (NASA)
Publisher Createspace Independent Publishing Platform
Pages 40
Release 2018-07-09
Genre
ISBN 9781722413873

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A number of node assignment schemes, both static and dynamic, are explored for the Algorithm to Architecture Mapping Model (ATAMM). The architecture under consideration consists of heterogeneous processors and implements dataflow models of real-time applications. Terminology is developed for heterogeneous computing. New definitions are added to the ATAMM for token and assignment classifications. It is proved that a periodic execution is possible for dataflow graphs. Assignment algorithms are developed and proved. A design procedure is described for satisfying an objective function in an heterogeneous architecture. Several examples are provided for illustration. Som, Sukhamoy Unspecified Center NAS1-18936; RTOP 586-03-11...

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports
Title Scientific and Technical Aerospace Reports PDF eBook
Author
Publisher
Pages 836
Release 1994
Genre Aeronautics
ISBN

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Heterogeneous Computing

Heterogeneous Computing
Title Heterogeneous Computing PDF eBook
Author Mohamed Zahran
Publisher Morgan & Claypool
Pages 129
Release 2019-05-29
Genre Computers
ISBN 1450361005

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If you look around you will find that all computer systems, from your portable devices to the strongest supercomputers, are heterogeneous in nature. The most obvious heterogeneity is the existence of computing nodes of different capabilities (e.g. multicore, GPUs, FPGAs, ...). But there are also other heterogeneity factors that exist in computing systems, like the memory system components, interconnection, etc. The main reason for these different types of heterogeneity is to have good performance with power efficiency. Heterogeneous computing results in both challenges and opportunities. This book discusses both. It shows that we need to deal with these challenges at all levels of the computing stack: from algorithms all the way to process technology. We discuss the topic of heterogeneous computing from different angles: hardware challenges, current hardware state-of-the-art, software issues, how to make the best use of the current heterogeneous systems, and what lies ahead. The aim of this book is to introduce the big picture of heterogeneous computing. Whether you are a hardware designer or a software developer, you need to know how the pieces of the puzzle fit together. The main goal is to bring researchers and engineers to the forefront of the research frontier in the new era that started a few years ago and is expected to continue for decades. We believe that academics, researchers, practitioners, and students will benefit from this book and will be prepared to tackle the big wave of heterogeneous computing that is here to stay.

Proceedings

Proceedings
Title Proceedings PDF eBook
Author
Publisher
Pages 276
Release 1994
Genre Computer simulation
ISBN

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Monthly Catalog of United States Government Publications

Monthly Catalog of United States Government Publications
Title Monthly Catalog of United States Government Publications PDF eBook
Author
Publisher
Pages
Release 1994
Genre Government publications
ISBN

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Network and Parallel Computing

Network and Parallel Computing
Title Network and Parallel Computing PDF eBook
Author Keqiu Li
Publisher Springer
Pages 574
Release 2007-09-18
Genre Computers
ISBN 3540747842

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This book constitutes the refereed proceedings of the IFIP International Conference on Network and Parallel Computing, NPC 2007. It covers network applications: cluster and grid computing, peer-to-peer computing; network technologies: network algorithms, network reliability and dependability; network and parallel architectures: multicore design issues, performance modeling and evaluation; and parallel and distributed software: data mining, parallel programming tools and compilers.