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Understanding Parallel Supercomputing

Author: R. Michael Hord

Publisher: Wiley-IEEE Press

Published: 1998-08-17

Total Pages: 384

ISBN-13:

UNDERSTANDING PARALLEL SUPERCOMPUTING is an exhaustive, applications-oriented survey of the world's largest and fastest computers. Beginning with the evolution of parallel supercomputing technology in recent history, author R. Michael Hord goes on to illustrate architectural concepts and implementations at the very center of today's cutting-edge technology. Topics featured include: technology benefits and drawbacks, software tools and programming languages, major programming concepts, sample parallel programs, algorithmic methods, both SIMD and MIMD architectures. This carefully written text will be of interest to engineers, scientists, and program managers involved in geologic exploration, aircraft design, image processing, weather modeling, operations, research, chemical synthesis, and medical applications. It will also be of practical use to computer specialists.

High Performance Computing and the Art of Parallel Programming

Author: Stan Openshaw

Publisher: Routledge

Published: 2005-09-19

Total Pages: 304

ISBN-13: 1134729723

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Stan Openshaw is recognised as a leading researcher in the field and has strong teaching experience (Leeds is the leading institution for GIS and technical areas at the present) includes a wealth of real-world application examples strong international library market - GIS, Spatial Analysis, computer programming are all strong topics globally no real competition in this particular area of programming should appeal to computer scientists, social scientists as well as geographers.

Parallel Supercomputing in MIMD Architectures

Author: R.Michael Hord

Publisher: CRC Press

Published: 2018-02-01

Total Pages: 489

ISBN-13: 1351092235

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Parallel Supercomputing in MIMD Architectures is devoted to supercomputing on a wide variety of Multiple-Instruction-Multiple-Data (MIMD)-class parallel machines. This book describes architectural concepts, commercial and research hardware implementations, major programming concepts, algorithmic methods, representative applications, and benefits and drawbacks. Commercial machines described include Connection Machine 5, NCUBE, Butterfly, Meiko, Intel iPSC, iPSC/2 and iWarp, DSP3, Multimax, Sequent, and Teradata. Research machines covered include the J-Machine, PAX, Concert, and ASP. Operating systems, languages, translating sequential programs to parallel, and semiautomatic parallelizing are aspects of MIMD software addressed in Parallel Supercomputing in MIMD Architectures. MIMD issues such as scalability, partitioning, processor utilization, and heterogenous networks are discussed as well.This book is packed with important information and richly illustrated with diagrams and tables, Parallel Supercomputing in MIMD Architectures is an essential reference for computer professionals, program managers, applications system designers, scientists, engineers, and students in the computer sciences.

Parallel Supercomputing in SIMD Architectures

Author: R. Michael Hord

Publisher: CRC Press

Published: 1990-04-30

Total Pages: 400

ISBN-13: 9780849342714

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Parallel Supercomputing in SIMD Architectures is a survey book providing a thorough review of Single-Instruction-Multiple-Data machines, a type of parallel processing computer that has grown to importance in recent years. It was written to describe this technology in depth including the architectural concept, its history, a variety of hardware implementations, major programming languages, algorithmic methods, representative applications, and an assessment of benefits and drawbacks. Although there are numerous books on parallel processing, this is the first volume devoted entirely to the massively parallel machines of the SIMD class. The reader already familiar with low order parallel processing will discover a different philosophy of parallelism--the data parallel paradigm instead of the more familiar program parallel scheme. The contents are organized into nine chapters, rich with illustrations and tables. The first two provide introduction and background covering fundamental concepts and a description of early SIMD computers. Chapters 3 through 8 each address specific machines from the first SIMD supercomputer (Illiac IV) through several contemporary designs to some example research computers. The final chapter provides commentary and lessons learned. Because the test of any technology is what it can do, diverse applications are incorporated throughout, leading step by step to increasingly ambitious examples. The book is intended for a wide range of readers. Computer professionals will find sufficient detail to incorporate much of this material into their own endeavors. Program managers and applications system designers may find the solution to their requirements for high computational performance at an affordable cost. Scientists and engineers will find sufficient processing speed to make interactive simulation a practical adjunct to theory and experiment. Students will find a case study of an emerging and maturing technology. The general reader is afforded the opportunity to appreciate the power of advanced computing and some of the ramifications of this growing capability.

Understanding Supercomputing

Author: Editors of Scientific American

Publisher: Grand Central Publishing

Published: 2002-12-02

Total Pages: 122

ISBN-13: 0759527458

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In this book you'll discover what constitutes a 'supercomputer', how the supercomputers of today function, how you can make your own computer into a super machine - through networking - and what tomorrow holds in store for computer usage in terms of hardware, software and everyday applications.

Introduction to Parallel Computing

Author: Ananth Grama

Publisher: Pearson Education

Published: 2003

Total Pages: 664

ISBN-13: 9780201648652

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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.

Introduction to Parallel Computing

Author:

Publisher:

Published: 1992

Total Pages: 138

ISBN-13:

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Today's supercomputers and parallel computers provide an unprecedented amount of computational power in one machine. A basic understanding of the parallel computing techniques that assist in the capture and utilization of that computational power is essential to appreciate the capabilities and the limitations of parallel supercomputers. In addition, an understanding of technical vocabulary is critical in order to converse about parallel computers. The relevant techniques, vocabulary, currently available hardware architectures, and programming languages which provide the basic concepts of parallel computing are introduced in this document. This document updates the document entitled Introduction to Parallel Supercomputing, M88-42, October 1988. It includes a new section on languages for parallel computers, updates the hardware related sections, and includes current references.

Getting Up to Speed

Author: National Research Council

Publisher: National Academies Press

Published: 2005-03-03

Total Pages: 307

ISBN-13: 0309095026

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Supercomputers play a significant and growing role in a variety of areas important to the nation. They are used to address challenging science and technology problems. In recent years, however, progress in supercomputing in the United States has slowed. The development of the Earth Simulator supercomputer by Japan that the United States could lose its competitive advantage and, more importantly, the national competence needed to achieve national goals. In the wake of this development, the Department of Energy asked the NRC to assess the state of U.S. supercomputing capabilities and relevant R&D. Subsequently, the Senate directed DOE in S. Rpt. 107-220 to ask the NRC to evaluate the Advanced Simulation and Computing program of the National Nuclear Security Administration at DOE in light of the development of the Earth Simulator. This report provides an assessment of the current status of supercomputing in the United States including a review of current demand and technology, infrastructure and institutions, and international activities. The report also presents a number of recommendations to enable the United States to meet current and future needs for capability supercomputers.

Encyclopedia of Parallel Computing

Author: David Padua

Publisher: Springer Science & Business Media

Published: 2014-07-08

Total Pages: 2211

ISBN-13: 038709766X

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Containing over 300 entries in an A-Z format, the Encyclopedia of Parallel Computing provides easy, intuitive access to relevant information for professionals and researchers seeking access to any aspect within the broad field of parallel computing. Topics for this comprehensive reference were selected, written, and peer-reviewed by an international pool of distinguished researchers in the field. The Encyclopedia is broad in scope, covering machine organization, programming languages, algorithms, and applications. Within each area, concepts, designs, and specific implementations are presented. The highly-structured essays in this work comprise synonyms, a definition and discussion of the topic, bibliographies, and links to related literature. Extensive cross-references to other entries within the Encyclopedia support efficient, user-friendly searchers for immediate access to useful information. Key concepts presented in the Encyclopedia of Parallel Computing include; laws and metrics; specific numerical and non-numerical algorithms; asynchronous algorithms; libraries of subroutines; benchmark suites; applications; sequential consistency and cache coherency; machine classes such as clusters, shared-memory multiprocessors, special-purpose machines and dataflow machines; specific machines such as Cray supercomputers, IBM’s cell processor and Intel’s multicore machines; race detection and auto parallelization; parallel programming languages, synchronization primitives, collective operations, message passing libraries, checkpointing, and operating systems. Topics covered: Speedup, Efficiency, Isoefficiency, Redundancy, Amdahls law, Computer Architecture Concepts, Parallel Machine Designs, Benmarks, Parallel Programming concepts & design, Algorithms, Parallel applications. This authoritative reference will be published in two formats: print and online. The online edition features hyperlinks to cross-references and to additional significant research. Related Subjects: supercomputing, high-performance computing, distributed computing

Industrial Strength Parallel Computing

Author: Alice E. Koniges

Publisher: Elsevier

Published: 1999-10-25

Total Pages: 659

ISBN-13: 0080495389

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Today, parallel computing experts can solve problems previously deemed impossible and make the "merely difficult" problems economically feasible to solve. This book presents and synthesizes the recent experiences of reknown expert developers who design robust and complex parallel computing applications. They demonstrate how to adapt and implement today's most advanced, most effective parallel computing techniques. The book begins with a highly focused introductory course designed to provide a working knowledge of all the relevant architectures, programming models, and performance issues, as well as the basic approaches to assessment, optimization, scheduling, and debugging. Next comes a series of seventeen detailed case studies—all dealing with production-quality industrial and scientific applications, all presented firsthand by the actual code developers. Each chapter follows the same comparison-inviting format, presenting lessons learned and algorithms developed in the course of meeting real, non-academic challenges. A final section highlights the case studies' most important insights and turns an eye to the future of the discipline. * Provides in-depth case studies of seventeen parallel computing applications, some built from scratch, others developed through parallelizing existing applications.* Explains elements critical to all parallel programming environments, including:** Terminology and architectures** Programming models and methods** Performance analysis and debugging tools* Teaches primarily by example, showing how scientists in many fields have solved daunting problems using parallel computing.* Covers a wide range of application areas—biology, aerospace, semiconductor design, environmental modeling, data imaging and analysis, fluid dynamics, and more.* Summarizes the state of the art while looking to the future of parallel computing.Presents technical animations and visualizations from many of the applications detailed in the case studies via a companion web site.