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The technique of randomization has become very prevalent sinceit offers superior performance and simplicity. Numerous researcherswork in this area of vital importance. Parallel Computing is also veryimportant since one can get excellent speedups using parallelcomputers. This book combines these two domains. It provides a summaryof the state-of-the-art results and techniques in the area ofrandomized parallel computing. There are few texts in the area ofrandomized computing, and more surprisingly there is no text in thearea of randomized parallel computing. Thus our book fills the void inthis very important area. Audience: This is a reference book for researchers, educators,and students. It can also be used as a text for an advanced graduatecourse on randomized computing, parallel computing, or distributedcomputing. ... Read more

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This proceedings collects papers in the areas of computeralgorithms, databases and parallel processing. The papers werepresented by very prominent computer scientists from Japan andSingapore invited to a three days JSPS-NUS seminar held in Singapore on Dec '94. ... Read more

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Parallel Computing: Methods, Algorithms and Applications presents a collection of original papers presented at the international meeting on parallel processing, methods, algorithms, and applications at Verona, Italy in September 1989. ... Read more

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Presenting the results from internationally renowned research centres worldwide, this text provides actual experiences in solving computationally intensive problems, often with real-time constraints and on a variety of specialist machines, and describes leading-edge systems. ... Read more

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Distributed and Parallel Systems: From Instruction Parallelism to Cluster Computing is the proceedings of the third Austrian-Hungarian Workshop on Distributed and Parallel Systems organized jointly by the Austrian Computer Society and the MTA SZTAKI Computer and Automation Research Institute. This book contains 18 full papers and 12 short papers from 14 countries around the world, including Japan, Korea and Brazil. The paper sessions cover a broad range of research topics in the area of parallel and distributed systems, including software development environments, performance evaluation, architectures, languages, algorithms, web and cluster computing.

This volume will be useful to researchers and scholars interested in all areas related to parallel and distributed computing systems. ... Read more

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This book presents 91 papers reflecting the experience of a large family of workers in the field of parallel and distributed computing systems. It explores fresh results and important methods and tools. Among topics addressed are: architectures and algorithms, parallel computing in non-numerical processes, parallel computing in optimization, control and signal/image processing, distributed computing and control, neural computing, communication networks, and engineering applications. Research institutes and companies, as well as universities and individual computer, control, systems, or communications scientists and engineers should find this a valuable addition to their libraries. ... Read more

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Increasingly, research in parallel computing is focused on how high-level language constructs can be implemented. Through the introduction of a language, EVAL, the authors show how such languages can help to develop a better understanding of the nature of data parallelism and consequently produce more elegant and portable programs. ... Read more

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These ten papers represent a range of applications for the practical use of parallel computing. They address large scale high performance applications, data transfer and storage cost minimisation, two-stroke engine applications, large air pollution models, parallel global aircraft configuration design, parallel execution time analysis, parallel randomised heuristics, the analysis of complex waveguide circuits, reading database copy, and business process re-engineering. ... Read more

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There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application. ... Read more

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This collection of 25 research papers is dedicated to Professor Klaus Ritter of the Technical University of Munich on the occasion of his 60th birthday. The contributions provide a broad spectrum of research in nonlinear optimization problems, including theoretical aspects, automatic differentiation, and practical applications. It is dealt with quadratic optimization and with multiobjective decision-making. Further topics are parallelizing of algorithms and their implementation on transputer workstations. Special attention is paid to applications of parallel algorithms in the field of robotics. New results in statistics are also presented. ... Read more

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Proceedings of the Intl Conference ParCo2001 held September 4-7, 2001 in Naples, Italy. Gives an overview of new developments in parallel computing at the start of the 21st century, as well as a perspective on future developments. ... Read more

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Proceedings of the International Conference ParCo99, held in Delft, The Netherlands, on August 17-20, 1999. Provides a retrospective view of what has been achieved in the parallel computing field during the past three decades. ... Read more

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This volume presents revised versions of the 32 papers accepted for the Seventh Annual Workshop on Languages and Compilers for Parallel Computing, held in Ithaca, NY in August 1994. The 32 papers presented report on the leading research activities in languages and compilers for parallel computing and thus reflect the state of the art in the field. The volume is organized in sections on fine-grain parallelism, alignment and distribution, postlinear loop transformation, parallel structures, program analysis, computer communication, automatic parallelization, languages for parallelism, scheduling and program optimization, and program evaluation. ... Read more

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Computer graphics has emerged as one of the most important and appropriate uses of parallel computers and supercomputers. Green provides background information on both computer graphics and parallel computers and then goes on to describe how a distributed memory multiprocessor can be used to effectively implement the ray tracing algorithm. He emphasizes a general-purpose approach so that the techniques developed can be applied to other applications.

Ray tracing is a technique for generating realistic images that has high computational complexity, making it well suited for implementation on parallel computers. Following a description of a multiprocessor solution for ray tracing and identification of the goals of the resulting system and its key components, Green identifies the areas of difficulty in programming distributed memory multiprocessors with the intention of simplifying applications programming on these complex machines.

Contents: Introduction. Introduction to Computer Graphics. Parallel Processing and Computer Graphics. Design of a Multiprocessor Solution for Ray Tracing. Task Management. Dynamic Data Management. Static Data Management. Conclusions. ... Read more

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This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Communication, Architecture, and Applications for Network-Based Parallel Computing, CANPC 2000, held in Tolouse, France in January 2000. The 12 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in sections on program development and execution support, network router architecture, system support for communication abstractions, and network software and interface architecture. ... Read more

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Dataflow is one of the major models of parallel computation. Implementation of a General Purpose Dataflow Multiprocessor extends work in this area by introducing an unusually simple model of dynamic dataflow execution, called the Explicit Token Store (ETS) architecture, and its realization in Monsoon, a large-scale dataflow multiprocessor. Monsoon is currently under construction at the Motorola Microcomputer Division.

Papadopoulos argues that the underlying sequential architecture of contemporary multiprocessors has not been able to support the synchronization demands of parallel execution and that these systems have largely failed to meet expectations for programmability and performance. He points out that processors must be fundamentally changed to execute a parallel machine language that coordinates parallel activities efficiently as instructions are scheduled. Although dataflow architectures have met this challenge by radically reformulating the basic specification of a machine program, they have suffered from substantial implementation shortcomings, notable the need for large associative memories. The ETS architecture Papadopoulos introduces here achieves the power of previous tagged-token dataflow architectures, but with a much leaner cycle and much less complexity.

Gregory Papadopoulos is an Assistant Professor of Electrical Engineering and Computer Science in the Laboratory for Computer Science at MIT.

Contents: General Purpose Multiprocessing. The TaggedToken Dataflow Architecture. The Explicit Token Store. Compiling for an ETS Dataflow Processor. Compiling Imperative Languages for an ETS. Monsoon: An ETS Multiprocessor. A Monsoon Instruction Decoding. ... Read more

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This book presents the refereed proceedings of the Second International Workshop on Applied Parallel Computing in Physics, Chemistry and Engineering Science, PARA'95, held in Lyngby, Denmark, in August 1995. The 60 revised full papers included have been contributed by physicists, chemists, and engineers, as well as by computer scientists and mathematicians, and document the successful cooperation of different scientific communities in the booming area of computational science and high performance computing. Many widely-used numerical algorithms and their applications on parallel computers are treated in detail. ... Read more

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This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2007, held in Urbana, IL, USA, in October 2007.

The 23 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on reliability, languages, parallel compiler technology, libraries, run-time systems and performance analysis, and general compiler techniques.

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This book constitutes the refereed proceedings of the 8th International Conference on Parallel Computing Technologies, PaCT 2005, held in Krasnoyarsk, Russia in September 2005.

The 38 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on theory, fine-grain parallelism, software, tools, and applications. A broad variety of parallel processing issues and distributed computing in general are addressed as well.