Parallel Evolution Of Parallel Processors

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Parallel Evolution of Parallel Processors

Author : G. Lerman
Publisher : Springer Science & Business Media
ISBN 13 : 1461528569
Total Pages : 276 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Parallel Evolution of Parallel Processors by : G. Lerman

Download or read book Parallel Evolution of Parallel Processors written by G. Lerman and published by Springer Science & Business Media. This book was released on 2013-03-07 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Study the past, if you would divine the future. -CONFUCIUS A well written, organized, and concise survey is an important tool in any newly emerging field of study. This present text is the first of a new series that has been established to promote the publications of such survey books. A survey serves several needs. Virtually every new research area has its roots in several diverse areas and many of the initial fundamental results are dispersed across a wide range of journals, books, and conferences in many dif ferent sub fields. A good survey should bring together these results. But just a collection of articles is not enough. Since terminology and notation take many years to become standardized, it is often difficult to master the early papers. In addition, when a new research field has its foundations outside of computer science, all the papers may be difficult to read. Each field has its own view of el egance and its own method of presenting results. A good survey overcomes such difficulties by presenting results in a notation and terminology that is familiar to most computer scientists. A good survey can give a feel for the whole field. It helps identify trends, both successful and unsuccessful, and it should point new researchers in the right direction.

Parallel Evolution of Parallel Processors

Author : G. Lerman
Publisher :
ISBN 13 : 9781461528579
Total Pages : 288 pages
Book Rating : 4.5/5 (285 download)

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Book Synopsis Parallel Evolution of Parallel Processors by : G. Lerman

Download or read book Parallel Evolution of Parallel Processors written by G. Lerman and published by . This book was released on 2014-01-15 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Programming Massively Parallel Processors

Author : David B. Kirk
Publisher : Newnes
ISBN 13 : 0123914183
Total Pages : 519 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Programming Massively Parallel Processors by : David B. Kirk

Download or read book Programming Massively Parallel Processors written by David B. Kirk and published by Newnes. This book was released on 2012-12-31 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing

Parallel Processing, 1980 to 2020

Author : Robert Kuhn
Publisher : Springer Nature
ISBN 13 : 3031017684
Total Pages : 166 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Parallel Processing, 1980 to 2020 by : Robert Kuhn

Download or read book Parallel Processing, 1980 to 2020 written by Robert Kuhn and published by Springer Nature. This book was released on 2022-05-31 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This historical survey of parallel processing from 1980 to 2020 is a follow-up to the authors’ 1981 Tutorial on Parallel Processing, which covered the state of the art in hardware, programming languages, and applications. Here, we cover the evolution of the field since 1980 in: parallel computers, ranging from the Cyber 205 to clusters now approaching an exaflop, to multicore microprocessors, and Graphic Processing Units (GPUs) in commodity personal devices; parallel programming notations such as OpenMP, MPI message passing, and CUDA streaming notation; and seven parallel applications, such as finite element analysis and computer vision. Some things that looked like they would be major trends in 1981, such as big Single Instruction Multiple Data arrays disappeared for some time but have been revived recently in deep neural network processors. There are now major trends that did not exist in 1980, such as GPUs, distributed memory machines, and parallel processing in nearly every commodity device. This book is intended for those that already have some knowledge of parallel processing today and want to learn about the history of the three areas. In parallel hardware, every major parallel architecture type from 1980 has scaled-up in performance and scaled-out into commodity microprocessors and GPUs, so that every personal and embedded device is a parallel processor. There has been a confluence of parallel architecture types into hybrid parallel systems. Much of the impetus for change has been Moore’s Law, but as clock speed increases have stopped and feature size decreases have slowed down, there has been increased demand on parallel processing to continue performance gains. In programming notations and compilers, we observe that the roots of today’s programming notations existed before 1980. And that, through a great deal of research, the most widely used programming notations today, although the result of much broadening of these roots, remain close to target system architectures allowing the programmer to almost explicitly use the target’s parallelism to the best of their ability. The parallel versions of applications directly or indirectly impact nearly everyone, computer expert or not, and parallelism has brought about major breakthroughs in numerous application areas. Seven parallel applications are studied in this book.

Raspberry Pi Super Cluster

Author : Andrew K. Dennis
Publisher : Packt Publishing Ltd
ISBN 13 : 1783286202
Total Pages : 178 pages
Book Rating : 4.7/5 (832 download)

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Book Synopsis Raspberry Pi Super Cluster by : Andrew K. Dennis

Download or read book Raspberry Pi Super Cluster written by Andrew K. Dennis and published by Packt Publishing Ltd. This book was released on 2013-11-20 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book follows a step-by-step, tutorial-based approach which will teach you how to develop your own super cluster using Raspberry Pi computers quickly and efficiently. Raspberry Pi Super Cluster is an introductory guide for those interested in experimenting with parallel computing at home. Aimed at Raspberry Pi enthusiasts, this book is a primer for getting your first cluster up and running. Basic knowledge of C or Java would be helpful but no prior knowledge of parallel computing is necessary.

Parallel Computer Architecture

Author : David Culler
Publisher : Gulf Professional Publishing
ISBN 13 : 1558603433
Total Pages : 1056 pages
Book Rating : 4.5/5 (586 download)

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Book Synopsis Parallel Computer Architecture by : David Culler

Download or read book Parallel Computer Architecture written by David Culler and published by Gulf Professional Publishing. This book was released on 1999 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Parallel Computing

Author : M. R. Bhujade
Publisher : New Age International
ISBN 13 : 8122423876
Total Pages : 42 pages
Book Rating : 4.1/5 (224 download)

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Book Synopsis Parallel Computing by : M. R. Bhujade

Download or read book Parallel Computing written by M. R. Bhujade and published by New Age International. This book was released on 2009 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Parallel Computing for Bioinformatics and Computational Biology

Author : Albert Y. Zomaya
Publisher : John Wiley & Sons
ISBN 13 : 0471718483
Total Pages : 817 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Parallel Computing for Bioinformatics and Computational Biology by : Albert Y. Zomaya

Download or read book Parallel Computing for Bioinformatics and Computational Biology written by Albert Y. Zomaya and published by John Wiley & Sons. This book was released on 2006-04-21 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution. A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics. Parallel Computing for Bioinformatics and Computational Biology is a contributed work that serves as a repository of case studies, collectively demonstrating how parallel computing streamlines difficult problems in bioinformatics and produces better results. Each of the chapters is authored by an established expert in the field and carefully edited to ensure a consistent approach and high standard throughout the publication. The work is organized into five parts: * Algorithms and models * Sequence analysis and microarrays * Phylogenetics * Protein folding * Platforms and enabling technologies Researchers, educators, and students in the field of bioinformatics will discover how high-performance computing can enable them to handle more complex data sets, gain deeper insights, and make new discoveries.

Past, Present, Parallel

Author : Arthur Trew
Publisher : Springer Science & Business Media
ISBN 13 : 1447118421
Total Pages : 401 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Past, Present, Parallel by : Arthur Trew

Download or read book Past, Present, Parallel written by Arthur Trew and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Past, Present, Parallel is a survey of the current state of the parallel processing industry. In the early 1980s, parallel computers were generally regarded as academic curiosities whose natural environment was the research laboratory. Today, parallelism is being used by every major computer manufacturer, although in very different ways, to produce increasingly powerful and cost-effec- tive machines. The first chapter introduces the basic concepts of parallel computing; the subsequent chapters cover different forms of parallelism, including descriptions of vector supercomputers, SIMD computers, shared memory multiprocessors, hypercubes, and transputer-based machines. Each section concentrates on a different manufacturer, detailing its history and company profile, the machines it currently produces, the software environments it supports, the market segment it is targetting, and its future plans. Supplementary chapters describe some of the companies which have been unsuccessful, and discuss a number of the common software systems which have been developed to make parallel computers more usable. The appendices describe the technologies which underpin parallelism. Past, Present, Parallel is an invaluable reference work, providing up-to-date material for commercial computer users and manufacturers, and for researchers and postgraduate students with an interest in parallel computing.

Introduction to Parallel Processing

Author : Behrooz Parhami
Publisher : Springer Science & Business Media
ISBN 13 : 0306469642
Total Pages : 532 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Introduction to Parallel Processing by : Behrooz Parhami

Download or read book Introduction to Parallel Processing written by Behrooz Parhami and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE CONTEXT OF PARALLEL PROCESSING The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of computer technology. At the same time, better understanding of various forms of concurrency, from standard pipelining to massive parallelism, and invention of architectural structures to support a reasonably efficient and user-friendly programming model for such systems, has allowed hardware performance to continue its exponential growth. This trend is expected to continue in the near future. This explosive growth, linked with the expectation that performance will continue its exponential rise with each new generation of hardware and that (in stark contrast to software) computer hardware will function correctly as soon as it comes off the assembly line, has its down side. It has led to unprecedented hardware complexity and almost intolerable dev- opment costs. The challenge facing current and future computer designers is to institute simplicity where we now have complexity; to use fundamental theories being developed in this area to gain performance and ease-of-use benefits from simpler circuits; to understand the interplay between technological capabilities and limitations, on the one hand, and design decisions based on user and application requirements on the other.

Introduction to Parallel Computing

Author : Ananth Grama
Publisher : Pearson Education
ISBN 13 : 9780201648652
Total Pages : 664 pages
Book Rating : 4.6/5 (486 download)

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Book Synopsis Introduction to Parallel Computing by : Ananth Grama

Download or read book Introduction to Parallel Computing written by Ananth Grama and published by Pearson Education. This book was released on 2003 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.

Process Algebra for Parallel and Distributed Processing

Author : Michael Alexander
Publisher : CRC Press
ISBN 13 : 1420064878
Total Pages : 440 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Process Algebra for Parallel and Distributed Processing by : Michael Alexander

Download or read book Process Algebra for Parallel and Distributed Processing written by Michael Alexander and published by CRC Press. This book was released on 2008-12-22 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collects the Latest Research Involving the Application of Process Algebra to ComputingExploring state-of-the-art applications, Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoning-process algebra-has become a powerful tool for solving design and implementation challenges of concurrent systems. Parallel Pr

Parallel Computing: Technology Trends

Author : I. Foster
Publisher : IOS Press
ISBN 13 : 1643680714
Total Pages : 806 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Parallel Computing: Technology Trends by : I. Foster

Download or read book Parallel Computing: Technology Trends written by I. Foster and published by IOS Press. This book was released on 2020-03-25 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt: The year 2019 marked four decades of cluster computing, a history that began in 1979 when the first cluster systems using Components Off The Shelf (COTS) became operational. This achievement resulted in a rapidly growing interest in affordable parallel computing for solving compute intensive and large scale problems. It also directly lead to the founding of the Parco conference series. Starting in 1983, the International Conference on Parallel Computing, ParCo, has long been a leading venue for discussions of important developments, applications, and future trends in cluster computing, parallel computing, and high-performance computing. ParCo2019, held in Prague, Czech Republic, from 10 – 13 September 2019, was no exception. Its papers, invited talks, and specialized mini-symposia addressed cutting-edge topics in computer architectures, programming methods for specialized devices such as field programmable gate arrays (FPGAs) and graphical processing units (GPUs), innovative applications of parallel computers, approaches to reproducibility in parallel computations, and other relevant areas. This book presents the proceedings of ParCo2019, with the goal of making the many fascinating topics discussed at the meeting accessible to a broader audience. The proceedings contains 57 contributions in total, all of which have been peer-reviewed after their presentation. These papers give a wide ranging overview of the current status of research, developments, and applications in parallel computing.

Past, Present, Parallel

Author : Arthur Trew
Publisher : Springer
ISBN 13 : 9783540196648
Total Pages : 392 pages
Book Rating : 4.1/5 (966 download)

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Book Synopsis Past, Present, Parallel by : Arthur Trew

Download or read book Past, Present, Parallel written by Arthur Trew and published by Springer. This book was released on 1991-04-01 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Past, Present, Parallel is a survey of the current state of the parallel processing industry. In the early 1980s, parallel computers were generally regarded as academic curiosities whose natural environment was the research laboratory. Today, parallelism is being used by every major computer manufacturer, although in very different ways, to produce increasingly powerful and cost-effec- tive machines. The first chapter introduces the basic concepts of parallel computing; the subsequent chapters cover different forms of parallelism, including descriptions of vector supercomputers, SIMD computers, shared memory multiprocessors, hypercubes, and transputer-based machines. Each section concentrates on a different manufacturer, detailing its history and company profile, the machines it currently produces, the software environments it supports, the market segment it is targetting, and its future plans. Supplementary chapters describe some of the companies which have been unsuccessful, and discuss a number of the common software systems which have been developed to make parallel computers more usable. The appendices describe the technologies which underpin parallelism. Past, Present, Parallel is an invaluable reference work, providing up-to-date material for commercial computer users and manufacturers, and for researchers and postgraduate students with an interest in parallel computing.

Massively Parallel Evolutionary Computation on GPGPUs

Author : Shigeyoshi Tsutsui
Publisher : Springer Science & Business Media
ISBN 13 : 3642379591
Total Pages : 454 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Massively Parallel Evolutionary Computation on GPGPUs by : Shigeyoshi Tsutsui

Download or read book Massively Parallel Evolutionary Computation on GPGPUs written by Shigeyoshi Tsutsui and published by Springer Science & Business Media. This book was released on 2013-12-05 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have been many attempts to develop platforms for running parallel EAs using multicore machines, massively parallel cluster machines, or grid computing environments. Recent advances in general-purpose computing on graphics processing units (GPGPU) have opened up this possibility for parallel EAs, and this is the first book dedicated to this exciting development. The three chapters of Part I are tutorials, representing a comprehensive introduction to the approach, explaining the characteristics of the hardware used, and presenting a representative project to develop a platform for automatic parallelization of evolutionary computing (EC) on GPGPUs. The 10 chapters in Part II focus on how to consider key EC approaches in the light of this advanced computational technique, in particular addressing generic local search, tabu search, genetic algorithms, differential evolution, swarm optimization, ant colony optimization, systolic genetic search, genetic programming, and multiobjective optimization. The 6 chapters in Part III present successful results from real-world problems in data mining, bioinformatics, drug discovery, crystallography, artificial chemistries, and sudoku. Although the parallelism of EAs is suited to the single-instruction multiple-data (SIMD)-based GPU, there are many issues to be resolved in design and implementation, and a key feature of the contributions is the practical engineering advice offered. This book will be of value to researchers, practitioners, and graduate students in the areas of evolutionary computation and scientific computing.

Parallel Processing and Applied Mathematics

Author : Roman Wyrzykowski
Publisher : Springer
ISBN 13 : 3319780247
Total Pages : 660 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Parallel Processing and Applied Mathematics by : Roman Wyrzykowski

Download or read book Parallel Processing and Applied Mathematics written by Roman Wyrzykowski and published by Springer. This book was released on 2018-03-22 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, held in Lublin, Poland, in September 2017. The 49 regular papers presented in this volume were selected from 98 submissions. For the workshops and special sessions, that were held as integral parts of the PPAM 2017 conference, a total of 51 papers was accepted from 75 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; soft computing with applications; and special session on parallel matrix factorizations. Part II: workshop on models, algorithms and methodologies for hybrid parallelism in new HPC systems; workshop power and energy aspects of computations (PEAC 2017); workshop on scheduling for parallel computing (SPC 2017); workshop on language-based parallel programming models (WLPP 2017); workshop on PGAS programming; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems.

Parallel Machines: Parallel Machine Languages

Author : Robert A. Iannucci
Publisher : Springer Science & Business Media
ISBN 13 : 1461315433
Total Pages : 217 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Parallel Machines: Parallel Machine Languages by : Robert A. Iannucci

Download or read book Parallel Machines: Parallel Machine Languages written by Robert A. Iannucci and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is universally accepted today that parallel processing is here to stay but that software for parallel machines is still difficult to develop. However, there is little recognition of the fact that changes in processor architecture can significantly ease the development of software. In the seventies the availability of processors that could address a large name space directly, eliminated the problem of name management at one level and paved the way for the routine development of large programs. Similarly, today, processor architectures that can facilitate cheap synchronization and provide a global address space can simplify compiler development for parallel machines. If the cost of synchronization remains high, the pro gramming of parallel machines will remain significantly less abstract than programming sequential machines. In this monograph Bob Iannucci presents the design and analysis of an architecture that can be a better building block for parallel machines than any von Neumann processor. There is another very interesting motivation behind this work. It is rooted in the long and venerable history of dataflow graphs as a formalism for ex pressing parallel computation. The field has bloomed since 1974, when Dennis and Misunas proposed a truly novel architecture using dataflow graphs as the parallel machine language. The novelty and elegance of dataflow architectures has, however, also kept us from asking the real question: "What can dataflow architectures buy us that von Neumann ar chitectures can't?" In the following I explain in a round about way how Bob and I arrived at this question.