Parallel Substitution Algorithm

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Author :
Release : 1994
Genre : Computers
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Book Rating : 778/5 ( reviews)

Parallel Substitution Algorithm - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Parallel Substitution Algorithm write by Svetlana Mikha?lovna Achasova. This book was released on 1994. Parallel Substitution Algorithm available in PDF, EPUB and Kindle. Parallel Substitution Algorithm (PSA) is a new model for distributed (cellular) computations. It provides a concise mapping of distributed computation processes into cellular arrays. A PSA is specified by a set of parallel substitutions operating over a cellular array.Two concepts make PSA a powerful tool for modelling cellular computations: 1) naming functions which allow the specification of any type of interactions in the computation space, 2) a context which serves to represent control of a computational process in time.The foundation of PSA theory comprises validity conditions of computations in the synchronous and asynchronous modes, space-time, space-space (2D ? 3D) and global-local equivalent transformations of PSAs, composition and decomposition of PSAs and interpretation of PSAs with automata nets.On the basis of the PSA theory, a variety of tools and techniques is developed for designing algorithmic-oriented cellular VLSI and optical architectures.

Algorithms for Parallel Processing

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Release : 2012-12-06
Genre : Mathematics
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Book Rating : 161/5 ( reviews)

Algorithms for Parallel Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algorithms for Parallel Processing write by Michael T. Heath. This book was released on 2012-12-06. Algorithms for Parallel Processing available in PDF, EPUB and Kindle. This IMA Volume in Mathematics and its Applications ALGORITHMS FOR PARALLEL PROCESSING is based on the proceedings of a workshop that was an integral part of the 1996-97 IMA program on "MATHEMATICS IN HIGH-PERFORMANCE COMPUTING. " The workshop brought together algorithm developers from theory, combinatorics, and scientific computing. The topics ranged over models, linear algebra, sorting, randomization, and graph algorithms and their analysis. We thank Michael T. Heath of University of lllinois at Urbana (Com puter Science), Abhiram Ranade of the Indian Institute of Technology (Computer Science and Engineering), and Robert S. Schreiber of Hewlett Packard Laboratories for their excellent work in organizing the workshop and editing the proceedings. We also take this opportunity to thank the National Science Founda tion (NSF) and the Army Research Office (ARO), whose financial support made the workshop possible. A vner Friedman Robert Gulliver v PREFACE The Workshop on Algorithms for Parallel Processing was held at the IMA September 16 - 20, 1996; it was the first workshop of the IMA year dedicated to the mathematics of high performance computing. The work shop organizers were Abhiram Ranade of The Indian Institute of Tech nology, Bombay, Michael Heath of the University of Illinois, and Robert Schreiber of Hewlett Packard Laboratories. Our idea was to bring together researchers who do innovative, exciting, parallel algorithms research on a wide range of topics, and by sharing insights, problems, tools, and methods to learn something of value from one another.

Data-parallel Programming on MIMD Computers

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Author :
Release : 1991
Genre : Computers
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Book Rating : 051/5 ( reviews)

Data-parallel Programming on MIMD Computers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-parallel Programming on MIMD Computers write by Philip J. Hatcher. This book was released on 1991. Data-parallel Programming on MIMD Computers available in PDF, EPUB and Kindle. Mathematics of Computing -- Parallelism.

Parallel Computing Technologies

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Release : 2003-06-30
Genre : Computers
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Book Rating : 431/5 ( reviews)

Parallel Computing Technologies - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Parallel Computing Technologies write by Victor Malyshkin. This book was released on 2003-06-30. Parallel Computing Technologies available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 6th International Conference on Parallel Computing Technologies, PaCT 2001, held in Novosibirsk, Russia in September 2001. The 36 revised full papers and 13 posters presented together with 4 invited papers were carefully reviewed and selected from 81 submissions. The papers presented span the whole range of parallel processing from theory and software through architecture and applications. Among the topics addressed are shared memory systems, formal methods, networks of processes, cellular automata, mobile data access systems, Java programming, neuro-cluster computing, network clusters, load balancing, etc.

Parallel Processing and Parallel Algorithms

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Release : 2012-12-06
Genre : Computers
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Book Rating : 200/5 ( reviews)

Parallel Processing and Parallel Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Parallel Processing and Parallel Algorithms write by Seyed H Roosta. This book was released on 2012-12-06. Parallel Processing and Parallel Algorithms available in PDF, EPUB and Kindle. Motivation It is now possible to build powerful single-processor and multiprocessor systems and use them efficiently for data processing, which has seen an explosive ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. The first step is to understand the nature of computations in the specific application domain.