Search results for: understanding-parallel-supercomputing

Understanding Parallel Supercomputing

Author : R. Michael Hord
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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.

Parallel Supercomputing in MIMD Architectures

Author : R.Michael Hord
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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 Atmospheric Science Proceedings Of The Fifth Ecmwf Workshop On The Use Of Parallel Processors In Meteorology

Author : Hoffmann Geerd-r
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Parallel Supercomputing in SIMD Architectures

Author : R. Michael Hord
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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.

Introduction to Parallel Computing

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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.

Parallel Supercomputing in MIMD Architectures

Author : R.Michael Hord
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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.

Supercomputing in Aerospace

Author : Paul Kutler
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The Future of Finite Element Applications on Massively Parallel Supercomputers

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The current focus in large scale scientific computing is upon parallel supercomputers. While still relatively unproven, these machines are being slated for production-oriented, general purpose supercomputing applications. The promise, of course, is to use massively parallel computers to venture further into scientific realisms by performing computations with anywhere from 106 to 109 grid points thereby, in principle, obtaining a deeper understanding of physical processes. In approaching this brave new world of computing with finite element applications, many technical issues become apparent. This paper attempts to reveal some of the applications-oriented issues which are facing code developers and ultimately the users of engineering and scientific applications on parallel supercomputers, but which seem to be remaining unanswered by vendors, researchers and centralized computing facilities. At risk is the fundamental way in which analysis is performed in a production sense, and the insight into physical problems which results. while at first this treatise may seem to advocate traditional register-to-register vector supercomputers, the goal of this paper is simply an attempt to point out what is missing from the massively parallel computing picture not only for production finite element applications, but also for grand challenge problems. the limiting issues for the use of FEM applications on parallel supercomputers are centered about the need for adequate disk space, archival storage, high bandwidth networks, and continued software development for mesh generation, scientific visualization, linear equation solvers and parallel input/output.

Fourth International Conference on Supercomputing and Third World Supercomputer Exhibition

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Parallel Processing for Supercomputers and Artificial Intelligence

Author : Kai Hwang
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Supercomputing

Author :
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Understanding Computers Information Processing

Author : Parker
File Size : 68.4 MB
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Supercomputing 88 Technology assessment industrial supercomputer outlooks European supercomputing accomplishments and performance computations

Author :
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Parallel Supercomputing

Author : Graham F. Carey
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The development of supercomputers has had considerable impact in computational mechanics. This book deals with the application of parallel processing with supercomputers and examines the problems of computational mechanics in a logical way.

Development of Components for Wavelength Division Multiplexing Over Parallel Optical Interconnects

Author : Rajesh Rameshchandra Patel
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Understanding Supercomputing

Author : Editors of Scientific American
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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.

Supercomputing Based on Parallel Computer Architectures

Author : Ulrich Trottenberg
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Performance Modelling Techniques for Parallel Supercomputing Applications

Author : Duncan A. Grove
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Ever since the invention of the computer, users have demanded more and more computational power to tackle increasingly complex problems. A common means of increasing the amount of computational power available for solving a problem is to use parallel computing. Unfortunately, however, creating efficient parallel programs is notoriously difficult. In addition to all of the well-known problems that are associated with constructing a good serial algorithm, there are a number of problems specifically associated with constructing a good parallel algorithm. These mainly revolve around ensuring that all processors are kept busy and that they have timely access to the data that they require. Unfortunately, however, controlling a number of processors operating in parallel can be exponentially more complicated than controlling one processor. Furthermore, unlike data placement in serial programs, where sophisticated compilation techniques that optimise cache behaviour and memory interleaving are common, optimising data placement throughout the vastly more complex memory hierarchy present in parallel computers is often left to the parallel application programmer. All of these problems are compounded by the large number of parallel computing architectures that exist, because they often exhibit vastly different performance characteristics, which makes writing well-optimised, portable code especially difficult. The primary weapon against these problems in a parallel programmer's or parallel computer architect's arsenal is -- or at least should be -- the art of performance prediction. This book provides a historical exposition of over four decades of research into techniques for modelling the performance of computer programs running on parallel computers.

Journal of Information Science and Engineering

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Performance Evaluation of Supercomputers

Author : Joanne L. Martin
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Although supercomputer systems are faster, and have larger memory hierarchies than other computer systems, such characteristics merely imply the existence of great potential power. How much of that power can be harnessed productively is the central theme of performance evaluation. A set of methods for evaluating the performance of applications on supercomputers has not yet been rigorously defined. This volume is a compilation of research approaches and techniques that are a promising means to that end. The contributions are grouped into three sections. Contributors to Performance looks at applications, algorithms, compilers, operating systems, and memory issues. Measurements and Metrics addresses some of the current techniques and methods of performance evaluation. Among the topics are: the performance monitoring capabilities of the CEDAR system, the methodology behind the Livermore loops, the empirical analysis of system performance, and a software simulator developed in connection with the RP3 project. Methods, Models, and Directions looks at ways of establishing a general and theoretical framework for supercomputer performance evaluation.