PARALLEL COMPUTERS ARCHITECTURE AND PROGRAMMING

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Release : 2016-03-11
Genre : Computers
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Book Rating : 629/5 ( reviews)

PARALLEL COMPUTERS ARCHITECTURE AND PROGRAMMING - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook PARALLEL COMPUTERS ARCHITECTURE AND PROGRAMMING write by V. Rajaraman, . This book was released on 2016-03-11. PARALLEL COMPUTERS ARCHITECTURE AND PROGRAMMING available in PDF, EPUB and Kindle. Today all computers, from tablet/desktop computers to super computers, work in parallel. A basic knowledge of the architecture of parallel computers and how to program them, is thus, essential for students of computer science and IT professionals. In its second edition, the book retains the lucidity of the first edition and has added new material to reflect the advances in parallel computers. It is designed as text for the final year undergraduate students of computer science and engineering and information technology. It describes the principles of designing parallel computers and how to program them. This second edition, while retaining the general structure of the earlier book, has added two new chapters, ‘Core Level Parallel Processing’ and ‘Grid and Cloud Computing’ based on the emergence of parallel computers on a single silicon chip popularly known as multicore processors and the rapid developments in Cloud Computing. All chapters have been revised and some chapters are re-written to reflect the emergence of multicore processors and the use of MapReduce in processing vast amounts of data. The new edition begins with an introduction to how to solve problems in parallel and describes how parallelism is used in improving the performance of computers. The topics discussed include instruction level parallel processing, architecture of parallel computers, multicore processors, grid and cloud computing, parallel algorithms, parallel programming, compiler transformations, operating systems for parallel computers, and performance evaluation of parallel computers.

Parallel Computers 2

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Release : 1988-01-01
Genre : Mathematics
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Book Rating : 114/5 ( reviews)

Parallel Computers 2 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Parallel Computers 2 write by R.W Hockney. This book was released on 1988-01-01. Parallel Computers 2 available in PDF, EPUB and Kindle. Since the publication of the first edition, parallel computing technology has gained considerable momentum. A large proportion of this has come from the improvement in VLSI techniques, offering one to two orders of magnitude more devices than previously possible. A second contributing factor in the fast development of the subject is commercialization. The supercomputer is no longer restricted to a few well-established research institutions and large companies. A new computer breed combining the architectural advantages of the supercomputer with the advance of VLSI technology is now available at very attractive prices. A pioneering device in this development is the transputer, a VLSI processor specifically designed to operate in large concurrent systems. Parallel Computers 2: Architecture, Programming and Algorithms reflects the shift in emphasis of parallel computing and tracks the development of supercomputers in the years since the first edition was published. It looks at large-scale parallelism as found in transputer ensembles. This extensively rewritten second edition includes major new sections on the transputer and the OCCAM language. The book contains specific information on the various types of machines available, details of computer architecture and technologies, and descriptions of programming languages and algorithms. Aimed at an advanced undergraduate and postgraduate level, this handbook is also useful for research workers, machine designers, and programmers concerned with parallel computers. In addition, it will serve as a guide for potential parallel computer users, especially in disciplines where large amounts of computer time are regularly used.

Parallel Computer Architecture

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Release : 1999
Genre : Computers
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Book Rating : 433/5 ( reviews)

Parallel Computer Architecture - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Parallel Computer Architecture write by David Culler. This book was released on 1999. Parallel Computer Architecture available in PDF, EPUB and Kindle. This book outlines a set of issues that are critical to all of parallel architecture--communication latency, communication bandwidth, and coordination of cooperative work (across modern designs). It describes the set of techniques available in hardware and in software to address each issues and explore how the various techniques interact.

Scalable Parallel Computing

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Release : 1998
Genre : Computers
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Book Rating : /5 ( reviews)

Scalable Parallel Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Scalable Parallel Computing write by Kai Hwang. This book was released on 1998. Scalable Parallel Computing available in PDF, EPUB and Kindle. This book covers four areas of parallel computing: principles, technology, architecture, and programming. It is suitable for professionals and undergraduates taking courses in computer engineering, parallel processing, computer architecture, scaleable computers or distributed computing.

Programming Models for Parallel Computing

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Release : 2015-11-06
Genre : Computers
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Book Rating : 819/5 ( reviews)

Programming Models for Parallel Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Programming Models for Parallel Computing write by Pavan Balaji. This book was released on 2015-11-06. Programming Models for Parallel Computing available in PDF, EPUB and Kindle. An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng