Designing Efficient Algorithms for Parallel Computers

Designing Efficient Algorithms for Parallel Computers PDF Author: Michael Jay Quinn
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 332

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Book Description
Mathematics of Computing -- Parallelism.

Designing Efficient Algorithms for Parallel Computers

Designing Efficient Algorithms for Parallel Computers PDF Author: Michael Jay Quinn
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 332

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Book Description
Mathematics of Computing -- Parallelism.

Efficient Parallel Algorithms

Efficient Parallel Algorithms PDF 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.

Parallel Sorting Algorithms

Parallel Sorting Algorithms PDF 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.

Designing Efficient Algorithms for Parallel Computers

Designing Efficient Algorithms for Parallel Computers PDF 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.

并行程序设计

并行程序设计 PDF Author: Foster
Publisher:
ISBN: 9787115103475
Category : Computer programming
Languages : zh-CN
Pages : 381

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Book Description
国外著名高等院校信息科学与技术优秀教材

Parallel Algorithms

Parallel Algorithms PDF Author: Henri Casanova
Publisher: CRC Press
ISBN: 1584889462
Category : Computers
Languages : en
Pages : 360

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Book Description
Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment of theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and essential notions of scheduling. The book extract

Structured Parallel Programming

Structured Parallel Programming PDF Author: Michael McCool
Publisher: Elsevier
ISBN: 0124159931
Category : Computers
Languages : en
Pages : 434

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Book Description
Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers

Parallel Processing and Parallel Algorithms

Parallel Processing and Parallel Algorithms PDF Author: Seyed H Roosta
Publisher: Springer Science & Business Media
ISBN: 1461212200
Category : Computers
Languages : en
Pages : 579

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Book Description
Motivation It is now possible to build powerful single-processor and multiprocessor systems and use them efficiently for data processing, which has seen an explosive ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. The first step is to understand the nature of computations in the specific application domain.

Parallel Complexity of Linear System Solution

Parallel Complexity of Linear System Solution PDF 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).

Parallel Processing

Parallel Processing PDF 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.