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Published in:
2009 | OriginalPaper | Chapter
Fine Grained Parallel Processing for Soft Computing
Authors : Osamu Fujita, Koji Jinya
Published in: Knowledge-Based and Intelligent Information and Engineering Systems
Publisher: Springer Berlin Heidelberg
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This paper considers an approach to fine grained parallel processing for soft computing that mainly deals with large-scale stochastic optimization problems. In the detailed steps of the computation, there are a lot of useless calculations that has no influence upon final results. Removing such a wasted process must be effective to reduce the computational cost. The key is asynchronization of data processing by using redundancy of variables and priority-based processing. A typical system architecture to support this approach is presented and discussed for its application.