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This book constitutes the thoroughly refereed post-conference proceedings of the 21th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2008, held in Edmonton, Canada, in July/August 2008.

The 18 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 35 submissions. The papers address all aspects of languages, compiler techniques, run-time environments, and compiler-related performance evaluation for parallel and high-performance computing and comprise also presentations on program analysis that are precursors of high performance in parallel environments.

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Revised papers from the 13th Intl Workshop, LCPC 2000, held August 10-12, 2000 in Yorktown Heights, NY, USA. All current aspects of parallel processing are addressed with emphasis on issues in optimizing compilers, languages, and software environments in high-performance computing. Softcover. ... Read more

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Papers presented within this volume cover a wide range of topics related to programming distributed memory machines. Distributed memory architectures, although having the potential to supply the very high levels of performance required to support future computing needs, present awkward programming problems. The major issue is to design methods which enable compilers to generate efficient distributed memory programs from relatively machine independent program specifications. This book is the compilation of papers describing a wide range of research efforts aimed at easing the task of programming distributed memory machines. ... Read more

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An introduction to the OR-parallel implementation of PROLOG on distributed memory multicomputers, which also surveys distinct AND-parallel and AND/OR-parallel schemes and process oriented PROLOG languages. ... Read more

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The proceedings of the 12th International Workshop, LCPC'99, held in La Jolla, CA, August 4-6, 1999. Topics covered at the conference include low-level transformations, data distribution, Java, and array analysis. Softcover. ... Read more

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This book constitutes the thoroughly refereed post-proceedings of the 16^th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2003, held in College Station, Texas, USA, in October 2003.

The 35 revised full papers presented were selected from 48 submissions during two rounds of reviewing and improvement upon presentation at the workshop. The papers are organized in topical sections on adaptive optimization, data locality, parallel languages, high-level transformations, embedded systems, distributed systems software, low-level transformations, compiling for novel architectures, and optimization infrastructure.

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This book brings together in one source a comprehensive review of the work of ESPRIT project 415. It also provides an overview of the general area of novel parallel computer architectures and programming languages. ... Read more

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The purpose of this volume is to evaluate the state-of-the-art and future trends in software for parallel computer programmers. It provides an incremental review of programming environments for parallel computers with the help of leading specialists in each domain. Starting with the basic libraries which are the foundation of efficient and secure parallel programs, the volume proceeds to visualization tools for performance debugging and studies of the behaviour of parallel program execution. Further articles present research on programming tools. Methodologies for a more abstract approach of parallel programming design are presented, and automatic parallelization tools complete the volume. ... 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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Advances in optical technologies have made it possible toimplement optical interconnections in future massively parallelprocessing systems. Photons are non-charged particles, and do notnaturally interact. Consequently, there are many desirablecharacteristics of optical interconnects, e.g. high speed (speed oflight), increased fanout, high bandwidth, high reliability, longerinterconnection lengths, low power requirements, and immunity to EMIwith reduced crosstalk. Optics can utilize free-space interconnects aswell as guided wave technology, neither of which has the problems ofVLSI technology mentioned above. Optical interconnections can be builtat various levels, providing chip-to-chip, module-to-module,board-to-board, and node-to-node communications. Massively parallel processing using optical interconnections poses newchallenges; new system configurations need to be designed, schedulingand data communication schemes based on new resource metrics need tobe investigated, algorithms for a wide variety of applications need tobe developed under the novel computation models that opticalinterconnections permit, and so on. Parallel Computing Using Optical Interconnections is acollection of survey articles written by leading and active scientistsin the area of parallel computing using optical interconnections. Thisis the first book which provides current and comprehensive coverage ofthe field, reflects the state of the art from high-level architecturedesign and algorithmic points of view, and points out directions forfurther research and development. ... 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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Scheduling in Parallel Computing Systems: Fuzzy andAnnealing Techniques advocates the viability of using fuzzyand annealing methods in solving scheduling problems for parallelcomputing systems. The book proposes new techniques for both staticand dynamic scheduling, using emerging paradigms that are inspired bynatural phenomena such as fuzzy logic, mean-field annealing, andsimulated annealing. Systems that are designed using such techniquesare often referred to in the literature as `intelligent' because oftheir capability to adapt to sudden changes in their environments.Moreover, most of these changes cannot be anticipated in advance orincluded in the original design of the system. Scheduling in Parallel Computing Systems: Fuzzy and AnnealingTechniques provides results that prove such approaches canbecome viable alternatives to orthodox solutions to the schedulingproblem, which are mostly based on heuristics. Although heuristics arerobust and reliable when solving certain instances of the schedulingproblem, they do not perform well when one needs to obtain solutionsto general forms of the scheduling problem. On the other hand,techniques inspired by natural phenomena have been successfullyapplied for solving a wide range of combinatorial optimizationproblems (e.g. traveling salesman, graph partitioning). The success ofthese methods motivated their use in this book to solve schedulingproblems that are known to be formidable combinatorial problems. Scheduling in Parallel Computing Systems: Fuzzy and AnnealingTechniques is an excellent reference and may be used foradvanced courses on the topic. ... Read more

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Neural Network Parallel Computing is the first bookavailable to the professional market on neural network computing foroptimization problems. This introductory book is not only for thenovice reader, but for experts in a variety of areas includingparallel computing, neural network computing, computer science,communications, graph theory, computer aided design for VLSI circuits,molecular biology, management science, and operations research. Thegoal of the book is to facilitate an understanding as to the uses ofneural network models in real-world applications.
Neural Network Parallel Computing presents a major breakthroughin science and a variety of engineering fields. The computationalpower of neural network computing is demonstrated by solving numerousproblems such as N-queen, crossbar switch scheduling,four-coloring and k-colorability, graph planarization andchannel routing, RNA secondary structure prediction, knight's tour,spare allocation, sorting and searching, and tiling.
Neural Network Parallel Computing is an excellent reference forresearchers in all areas covered by the book. Furthermore, the textmay be used in a senior or graduate level course on the topic.
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The first book devoted to the fundamental issues involved in the performance of parallel computers, Multiprocessor Performance describes the architecture of such systems, identifies the factors that enhance or limit their speed, addresses problems related to the structure of application programs, and shows how to determine the degree of performance improvement that can be obtained via parallelism. Examines the limiting effects of program structure via study of program behavior models. ... Read more

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This book constitutes the strictly refereed proceedings of the Second International Workshop on Communication and Architectural Support for Network-Based Parallel Computing, CANPC'98, held in Las Vegas, Nevada, USA, in January/February 1998. The 18 revised full papers presented were selected from 38 submissions on the basis of four to five reviews per paper. The volume comprises a representative compilation of state-of-the-art solutions for network-based parallel computing. Several new interconnection technologies, new software schemes and standards are studied and developed to provide low-latency and high-bandwidth interconnections for network-based parallel computing. ... Read more

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The performance of a computer is a complicated issue and a function of many interrelated quantities. These quantities include: the application, the language, the implementation, the compiler, the architecture, and the hardware characteristics. The usual method to evaluate the performance is to compose a benchmark of programs. This book presents a useful overview on benchmarking. Over twenty experts contributed papers on five important topics concerning benchmarking advanced scientific computer systems: taxonomy and performance metrics, well-known standard and application benchmarks, compiler benchmarks for parallel computers, and benchmarks for database systems. ... 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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This book constitutes the thoroughly refereed post-proceedings of the 18th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2005, held in Hawthorne, NY, USA in October 2005. The 26 revised full papers and eight short papers presented were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections.

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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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This work emphasizes the significance of systolic algorithms for massively-parallel computing. It presents, using a unified representation form, a collection of important systolic algorithms for various problems: linear algebra, linear filters, operations with polynomials, comparison problems with some applications to non-linear filtering and data structures, dynamic programming and computational geometry. Design principles and techniques are given and illustrated with concrete examples.

The book is also concerned with the results achieved in the past decade in different methodologies for systematic design, efficiency improvement and partitioning of systolic algorithms. In this respect, systolic algorithms still have a unique position among parallel algorithms, in that only this kind of algorithm has mature systematic design techniques. The most important theoretical results achieved in systolic array research are concentrated in Chapter 2 (definitions), Chapter 11 (systematic design) and Chapter 12 (partitioning). The different efficiency improvement techniques are presented when treating concrete algorithms.

It should be of great interest to researchers involved in computer science and electrical and computer engineering and to producers of high-performance computers, in particular of massively-parallel computers. ... Read more