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This first volume of proceedings from the 1994 International Conference on Parallel Processing focuses on computer processing architecture. It addresses topics including static networks, wormhole routeing, and memory systems.

Parallel processing (Electronic computers)

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Proceedings of the symposium held in Cancun, Mexico, April 1994. Twenty-one technical sessions cover interconnection networks, languages, computational geometry, memory issues, compiling, graph algorithms, machine architectures, compiler optimization, algorithms, sorting and networks, resource management, numerical methods, routing, synchronization, performance, embedding and message passing, models and real time systems, applications, network performance, data structures and debugging, and image processing and VLSI CAD. Three industrial track sessions cover parallel processing systems, digital media and distributed computing, and portability, scalability, and applications.

Parallel processing (Electronic computers)

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This book sets out the principles of parallel computing in a way which will be useful to student and potential user alike. It includes coverage of both conventional and neural computers. The content of the book is arranged hierarchically. It explains why, where and how parallel computing is used; the fundamental paradigms employed in the field; how systems are programmed or trained; technical aspects including connectivity and processing element complexity; and how system performance is estimated (and why doing so is difficult). The penultimate chapter of the book comprises a set of case studies of archetypal parallel computers, each study written by an individual closely connected with the system in question. The final chapter correlates the various aspects of parallel computing into a taxonomy of systems.

Parallel processing (Electronic computers)

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The major reason for the lack of use of parallel computing is the mismatch between the complexity and variety of parallel hardware, and the software development tools to program it. The cost of developing software needs to be amortised over decades, but the platforms on which it executes change every few years, requiring complete rewrites. The evident cost-effectiveness of parallel computation has not been realized because of this mismatch. This book presents an integrated approach to parallel software development by addressing both software and performance issues together. It presents a methodology for software construction that produces architecture-independent and intellectually abstract software. The software can execute efficiently on a range of existing and potential hardware configurations. The approach is based on the construction of categorical data types, a generalization of abstract data types, and of objects. Categorical data types abstract both from the representation of a data type, and also from the detailed control flow necessary to perform operations on it. They thus impose a strong separation between the semantics, on which programs can depend, and the implementation, which is therefore free to hide the parallel machine properties that are used.

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Parallel processing (Electronic computers) --- Microprocessors --- Microprocessors. --- Parallel processing (Electronic computers).