| 書目名稱 | Parallel Processing and Parallel Algorithms | | 副標(biāo)題 | Theory and Computati | | 編輯 | Seyed H. Roosta | | 視頻video | http://file.papertrans.cn/742/741034/741034.mp4 | | 圖書封面 |  | | 描述 | 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 p | | 出版日期 | Textbook 2000 | | 關(guān)鍵詞 | Algorithms; Modula; Occam; Sage; algorithm; artificial intelligence; concurrent programming; functional pro | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-1220-1 | | isbn_softcover | 978-1-4612-7048-5 | | isbn_ebook | 978-1-4612-1220-1 | | copyright | Springer-Verlag New York, Inc. 2000 |
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