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Author: Michael Jay Quinn
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 312
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Book Description
Mathematics of Computing -- Parallelism.
Author: Michael Jay Quinn
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 312
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Book Description
Mathematics of Computing -- Parallelism.
Author: Michael J. Quinn
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Michael J. Quinn
Publisher:
ISBN: 9780070510722
Category : Parallel computers
Languages : en
Pages : 36
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Book Description
Author: Alan Gibbons
Publisher: Cambridge University Press
ISBN: 9780521388412
Category : Computers
Languages : en
Pages : 280
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Book Description
Mathematics of Computing -- Parallelism.
Author: Vipin Kumar
Publisher: Addison Wesley Longman
ISBN:
Category : Computers
Languages : en
Pages : 632
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Book Description
Mathematics of Computing -- Parallelism.
Author: Ian N. Dunn
Publisher: Springer Science & Business Media
ISBN: 1441986502
Category : Computers
Languages : en
Pages : 114
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Book Description
Despite five decades of research, parallel computing remains an exotic, frontier technology on the fringes of mainstream computing. Its much-heralded triumph over sequential computing has yet to materialize. This is in spite of the fact that the processing needs of many signal processing applications continue to eclipse the capabilities of sequential computing. The culprit is largely the software development environment. Fundamental shortcomings in the development environment of many parallel computer architectures thwart the adoption of parallel computing. Foremost, parallel computing has no unifying model to accurately predict the execution time of algorithms on parallel architectures. Cost and scarce programming resources prohibit deploying multiple algorithms and partitioning strategies in an attempt to find the fastest solution. As a consequence, algorithm design is largely an intuitive art form dominated by practitioners who specialize in a particular computer architecture. This, coupled with the fact that parallel computer architectures rarely last more than a couple of years, makes for a complex and challenging design environment. To navigate this environment, algorithm designers need a road map, a detailed procedure they can use to efficiently develop high performance, portable parallel algorithms. The focus of this book is to draw such a road map. The Parallel Algorithm Synthesis Procedure can be used to design reusable building blocks of adaptable, scalable software modules from which high performance signal processing applications can be constructed. The hallmark of the procedure is a semi-systematic process for introducing parameters to control the partitioning and scheduling of computation and communication. This facilitates the tailoring of software modules to exploit different configurations of multiple processors, multiple floating-point units, and hierarchical memories. To showcase the efficacy of this procedure, the book presents three case studies requiring various degrees of optimization for parallel execution.
Author: Selim G. Akl
Publisher: Academic Press
ISBN: 148326808X
Category : Reference
Languages : en
Pages : 244
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Book Description
Parallel Sorting Algorithms explains how to use parallel algorithms to sort a sequence of items on a variety of parallel computers. The book reviews the sorting problem, the parallel models of computation, parallel algorithms, and the lower bounds on the parallel sorting problems. The text also presents twenty different algorithms, such as linear arrays, mesh-connected computers, cube-connected computers. Another example where algorithm can be applied is on the shared-memory SIMD (single instruction stream multiple data stream) computers in which the whole sequence to be sorted can fit in the respective primary memories of the computers (random access memory), or in a single shared memory. SIMD processors communicate through an interconnection network or the processors communicate through a common and shared memory. The text also investigates the case of external sorting in which the sequence to be sorted is bigger than the available primary memory. In this case, the algorithms used in external sorting is very similar to those used to describe internal sorting, that is, when the sequence can fit in the primary memory, The book explains that an algorithm can reach its optimum possible operating time for sorting when it is running on a particular set of architecture, depending on a constant multiplicative factor. The text is suitable for computer engineers and scientists interested in parallel algorithms.
Author: Bruno Codenotti
Publisher: World Scientific
ISBN: 9789810205034
Category : Computers
Languages : en
Pages : 234
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Book Description
This book presents the most important parallel algorithms for the solution of linear systems. Despite the evolution and significance of the field of parallel solution of linear systems, no book is completely dedicated to the subject. People interested in the themes covered by this book belong to two different groups: numerical linear algebra and theoretical computer science, and this is the first effort to produce a useful tool for both. The book is organized as follows: after introducing the general features of parallel algorithms and the most important models of parallel computation, the authors analyze the complexity of solving linear systems in the circuit, PRAM, distributed, and VLSI models. The approach covers both the general case (i.e. dense linear systems without structure) and many important special cases (i.e. banded, sparse, Toeplitz, circulant linear systems).
Author: Selim G. Akl
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 426
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Book Description
Mathematics of Computing -- Parallelism.
Author: Bruno Buchberger
Publisher: Springer Science & Business Media
ISBN: 9783540584308
Category : Computers
Languages : en
Pages : 918
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Book Description
Proceedings -- Parallel Computing.
