Limits To Parallel Computation

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Limits to Parallel Computation

Raymond Greenlaw,H. James Hoover,Walter L. Ruzzo
Limits to Parallel Computation Book PDF

Author : Raymond Greenlaw,H. James Hoover,Walter L. Ruzzo
Publisher : Oxford University Press
Page : 328 pages
File Size : 44,9 Mb
Release : 1995-04-06
Category : Computers
ISBN : 9780195358902

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Limits to Parallel Computation by Raymond Greenlaw,H. James Hoover,Walter L. Ruzzo Pdf

This book provides a comprehensive analysis of the most important topics in parallel computation. It is written so that it may be used as a self-study guide to the field, and researchers in parallel computing will find it a useful reference for many years to come. The first half of the book consists of an introduction to many fundamental issues in parallel computing. The second half provides lists of P-complete- and open problems. These lists will have lasting value to researchers in both industry and academia. The lists of problems, with their corresponding remarks, the thorough index, and the hundreds of references add to the exceptional value of this resource. While the exciting field of parallel computation continues to expand rapidly, this book serves as a guide to research done through 1994 and also describes the fundamental concepts that new workers will need to know in coming years. It is intended for anyone interested in parallel computing, including senior level undergraduate students, graduate students, faculty, and people in industry. As an essential reference, the book will be needed in all academic libraries.

Scientific Parallel Computing

L. Ridgway Scott,Terry Clark,Babak Bagheri
Scientific Parallel Computing Book PDF

Author : L. Ridgway Scott,Terry Clark,Babak Bagheri
Publisher : Princeton University Press
Page : 392 pages
File Size : 46,8 Mb
Release : 2021-03-09
Category : Computers
ISBN : 9780691227658

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Scientific Parallel Computing by L. Ridgway Scott,Terry Clark,Babak Bagheri Pdf

What does Google's management of billions of Web pages have in common with analysis of a genome with billions of nucleotides? Both apply methods that coordinate many processors to accomplish a single task. From mining genomes to the World Wide Web, from modeling financial markets to global weather patterns, parallel computing enables computations that would otherwise be impractical if not impossible with sequential approaches alone. Its fundamental role as an enabler of simulations and data analysis continues an advance in a wide range of application areas. Scientific Parallel Computing is the first textbook to integrate all the fundamentals of parallel computing in a single volume while also providing a basis for a deeper understanding of the subject. Designed for graduate and advanced undergraduate courses in the sciences and in engineering, computer science, and mathematics, it focuses on the three key areas of algorithms, architecture, languages, and their crucial synthesis in performance. The book's computational examples, whose math prerequisites are not beyond the level of advanced calculus, derive from a breadth of topics in scientific and engineering simulation and data analysis. The programming exercises presented early in the book are designed to bring students up to speed quickly, while the book later develops projects challenging enough to guide students toward research questions in the field. The new paradigm of cluster computing is fully addressed. A supporting web site provides access to all the codes and software mentioned in the book, and offers topical information on popular parallel computing systems. Integrates all the fundamentals of parallel computing essential for today's high-performance requirements Ideal for graduate and advanced undergraduate students in the sciences and in engineering, computer science, and mathematics Extensive programming and theoretical exercises enable students to write parallel codes quickly More challenging projects later in the book introduce research questions New paradigm of cluster computing fully addressed Supporting web site provides access to all the codes and software mentioned in the book

Limits to Parallel Computation

Raymond Greenlaw,H. James Hoover,Walter L. Ruzzo
Limits to Parallel Computation Book PDF

Author : Raymond Greenlaw,H. James Hoover,Walter L. Ruzzo
Publisher : Oxford University Press, USA
Page : 328 pages
File Size : 43,5 Mb
Release : 1995
Category : Computational complexity
ISBN : 9780195085914

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Limits to Parallel Computation by Raymond Greenlaw,H. James Hoover,Walter L. Ruzzo Pdf

This book provides a comprehensive analysis of the most important topics in parallel computation. It is written so that it may be used as a self-study guide to the field, and researchers in parallel computing will find it a useful reference for many years to come. The first half of the book consists of an introduction to many fundamental issues in parallel computing. The second half provides lists of P-complete- and open problems. These lists will have lasting value to researchers in both industry and academia. The lists of problems, with their corresponding remarks, the thorough index, and the hundreds of references add to the exceptional value of this resource. While the exciting field of parallel computation continues to expand rapidly, this book serves as a guide to research done through 1994 and also describes the fundamental concepts that new workers will need to know in coming years. It is intended for anyone interested in parallel computing, including senior level undergraduate students, graduate students, faculty, and people in industry. As an essential reference, the book will be needed in all academic libraries.

Parallel Processing and Parallel Algorithms

Seyed H Roosta
Parallel Processing and Parallel Algorithms Book PDF

Author : Seyed H Roosta
Publisher : Springer Science & Business Media
Page : 579 pages
File Size : 50,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461212201

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Parallel Processing and Parallel Algorithms by Seyed H Roosta Pdf

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 and High Performance Computing

Robert Robey,Yuliana Zamora
Parallel and High Performance Computing Book PDF

Author : Robert Robey,Yuliana Zamora
Publisher : Simon and Schuster
Page : 702 pages
File Size : 42,6 Mb
Release : 2021-08-24
Category : Computers
ISBN : 9781638350385

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Parallel and High Performance Computing by Robert Robey,Yuliana Zamora Pdf

Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. Summary Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. About the technology Write fast, powerful, energy efficient programs that scale to tackle huge volumes of data. Using parallel programming, your code spreads data processing tasks across multiple CPUs for radically better performance. With a little help, you can create software that maximizes both speed and efficiency. About the book Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. You’ll learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI. You’ll master the data structures and algorithms best suited for high performance computing and learn techniques that save energy on handheld devices. You’ll even run a massive tsunami simulation across a bank of GPUs. What's inside Planning a new parallel project Understanding differences in CPU and GPU architecture Addressing underperforming kernels and loops Managing applications with batch scheduling About the reader For experienced programmers proficient with a high-performance computing language like C, C++, or Fortran. About the author Robert Robey works at Los Alamos National Laboratory and has been active in the field of parallel computing for over 30 years. Yuliana Zamora is currently a PhD student and Siebel Scholar at the University of Chicago, and has lectured on programming modern hardware at numerous national conferences. Table of Contents PART 1 INTRODUCTION TO PARALLEL COMPUTING 1 Why parallel computing? 2 Planning for parallelization 3 Performance limits and profiling 4 Data design and performance models 5 Parallel algorithms and patterns PART 2 CPU: THE PARALLEL WORKHORSE 6 Vectorization: FLOPs for free 7 OpenMP that performs 8 MPI: The parallel backbone PART 3 GPUS: BUILT TO ACCELERATE 9 GPU architectures and concepts 10 GPU programming model 11 Directive-based GPU programming 12 GPU languages: Getting down to basics 13 GPU profiling and tools PART 4 HIGH PERFORMANCE COMPUTING ECOSYSTEMS 14 Affinity: Truce with the kernel 15 Batch schedulers: Bringing order to chaos 16 File operations for a parallel world 17 Tools and resources for better code

Programming Models for Parallel Computing

Pavan Balaji
Programming Models for Parallel Computing Book PDF

Author : Pavan Balaji
Publisher : MIT Press
Page : 488 pages
File Size : 49,9 Mb
Release : 2015-11-06
Category : Computers
ISBN : 9780262528818

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Programming Models for Parallel Computing by Pavan Balaji Pdf

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

Introduction to Parallel Computing

Ananth Grama
Introduction to Parallel Computing Book PDF

Author : Ananth Grama
Publisher : Pearson Education
Page : 664 pages
File Size : 50,7 Mb
Release : 2003
Category : Computers
ISBN : 0201648652

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Introduction to Parallel Computing by Ananth Grama Pdf

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.

Synthesis of Parallel Algorithms

John H. Reif
Synthesis of Parallel Algorithms Book PDF

Author : John H. Reif
Publisher : Morgan Kaufmann Publishers
Page : 1032 pages
File Size : 45,6 Mb
Release : 1993
Category : Computers
ISBN : UOM:39015029283242

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Synthesis of Parallel Algorithms by John H. Reif Pdf

Mathematics of Computing -- Parallelism.

Parallel Computing Using the Prefix Problem

S. Lakshmivarahan,Sudarshan K. Dhall
Parallel Computing Using the Prefix Problem Book PDF

Author : S. Lakshmivarahan,Sudarshan K. Dhall
Publisher : Oxford University Press
Page : 320 pages
File Size : 54,8 Mb
Release : 1994-07-21
Category : Computers
ISBN : 0195358473

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Parallel Computing Using the Prefix Problem by S. Lakshmivarahan,Sudarshan K. Dhall Pdf

The prefix operation on a set of data is one of the simplest and most useful building blocks in parallel algorithms. This introduction to those aspects of parallel programming and parallel algorithms that relate to the prefix problem emphasizes its use in a broad range of familiar and important problems. The book illustrates how the prefix operation approach to parallel computing leads to fast and efficient solutions to many different kinds of problems. Students, teachers, programmers, and computer scientists will want to read this clear exposition of an important approach.

Parallel Computing

Roman Trobec,Marián Vajteršic,Peter Zinterhof
Parallel Computing Book PDF

Author : Roman Trobec,Marián Vajteršic,Peter Zinterhof
Publisher : Springer
Page : 520 pages
File Size : 55,8 Mb
Release : 2009-06-05
Category : Computers
ISBN : 1848824084

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Parallel Computing by Roman Trobec,Marián Vajteršic,Peter Zinterhof Pdf

The use of parallel programming and architectures is essential for simulating and solving problems in modern computational practice. There has been rapid progress in microprocessor architecture, interconnection technology and software devel- ment, which are in?uencing directly the rapid growth of parallel and distributed computing. However, in order to make these bene?ts usable in practice, this dev- opment must be accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel num- ics are important for solving complex computational problems on parallel and/or distributed systems. The contributions to this book are focused on topics most concerned in the trends of today’s parallel computing. These range from parallel algorithmics, progr- ming, tools, network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integ- tion, number theory and their applications in computer simulations, which together form the kernel of the monograph. We expect that the book will be of interest to scientists working on parallel computing, doctoral students, teachers, engineers and mathematicians dealing with numerical applications and computer simulations of natural phenomena.

Parallel Computing on Heterogeneous Networks

Alexey L. Lastovetsky
Parallel Computing on Heterogeneous Networks Book PDF

Author : Alexey L. Lastovetsky
Publisher : John Wiley & Sons
Page : 440 pages
File Size : 49,6 Mb
Release : 2008-05-02
Category : Computers
ISBN : 9780470349489

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Parallel Computing on Heterogeneous Networks by Alexey L. Lastovetsky Pdf

New approaches to parallel computing are being developed that make better use of the heterogeneous cluster architecture Provides a detailed introduction to parallel computing on heterogenous clusters All concepts and algorithms are illustrated with working programs that can be compiled and executed on any cluster The algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction

Applied Parallel Computing

Yuefan Deng
Applied Parallel Computing Book PDF

Author : Yuefan Deng
Publisher : World Scientific
Page : 218 pages
File Size : 44,8 Mb
Release : 2013
Category : Computers
ISBN : 9789814307604

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Applied Parallel Computing by Yuefan Deng Pdf

The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.

Parallel Processing for Scientific Computing

Michael A. Heroux,Padma Raghavan,Horst D. Simon
Parallel Processing for Scientific Computing Book PDF

Author : Michael A. Heroux,Padma Raghavan,Horst D. Simon
Publisher : SIAM
Page : 421 pages
File Size : 54,8 Mb
Release : 2006-01-01
Category : Computers
ISBN : 0898718139

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Parallel Processing for Scientific Computing by Michael A. Heroux,Padma Raghavan,Horst D. Simon Pdf

Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.

Introduction to Parallel Computing

Roman Trobec,Boštjan Slivnik,Patricio Bulić,Borut Robič
Introduction to Parallel Computing Book PDF

Author : Roman Trobec,Boštjan Slivnik,Patricio Bulić,Borut Robič
Publisher : Unknown
Page : 256 pages
File Size : 49,7 Mb
Release : 2018
Category : Parallel processing (Electronic computers)
ISBN : 3319988344

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Introduction to Parallel Computing by Roman Trobec,Boštjan Slivnik,Patricio Bulić,Borut Robič Pdf

Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied by progress in the design, analysis and programming of parallel algorithms. This concise textbook provides, in one place, three mainstream parallelization approaches, Open MPP, MPI and OpenCL, for multicore computers, interconnected computers and graphical processing units. An overview of practical parallel computing and principles will enable the reader to design efficient parallel programs for solving various computational problems on state-of-the-art personal computers and computing clusters. Topics covered range from parallel algorithms, programming tools, OpenMP, MPI and OpenCL, followed by experimental measurements of parallel programs' run-times, and by engineering analysis of obtained results for improved parallel execution performances. Many examples and exercises support the exposition.

Handbook of Parallel Computing

Sanguthevar Rajasekaran,John Reif
Handbook of Parallel Computing Book PDF

Author : Sanguthevar Rajasekaran,John Reif
Publisher : CRC Press
Page : 1224 pages
File Size : 44,5 Mb
Release : 2007-12-20
Category : Computers
ISBN : 9781420011296

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Handbook of Parallel Computing by Sanguthevar Rajasekaran,John Reif Pdf

The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a