Author: Jean-Loup BaerPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Proceedings of the 1977 International Conference on Parallel Processing
Author: Jean-Loup BaerProceedings of the 1977 International Conference on Parallel Processing
Author: Jean-Loup BaerProceedings of the 1977 International Conference on Parallel Processing [ICPP]
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Author: J.-L. BaerParallel Processing
Author: Jean-Loup BaerProceedings of the 1977 International Conference on Parallel Processing
Author: Jean-Loup BaerPublisher:
ISBN:
Category : Computer
Languages : en
Pages : 264
Book Description
Proceedings of the 1977 International Conference on Parallel Processing
Author: Jean-Loup BaerParallel processing
Author: Parallel Computing Technologies - Proceedings Of The International Conference
Author: Nikolay N MirenkovPublisher: World Scientific
ISBN: 9814556017
Category :
Languages : en
Pages : 519
Book Description
The proceedings of this UNESCO-supported conference consist of papers covering new trends and experiences in parallel computing technologies. Emphasis is made on the practical aspects of parallel programming, especially: all aspects of the applications of parallel computing technologies; hardware, languages and software tools for parallel processing; operating systems; general architecture concepts; enabling technologies; performance measurements; and the teaching of parallel processing technology.
Parallel Processing Systems
Author: David J. EvansPublisher: CUP Archive
ISBN: 9780521243667
Category : Computers
Languages : en
Pages : 424
Book Description
“A coherent and comprehensive account of all major aspects of parallel processing.” -- Back cover.
Parallel Processing and Parallel Algorithms
Author: Seyed H RoostaPublisher: Springer Science & Business Media
ISBN: 1461212200
Category : Computers
Languages : en
Pages : 579
Book Description
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.