By Hans-Martin Wacker (auth.), Rüdiger Dierstein, Dieter Müller-Wichards, Hans-Martin Wacker (eds.)
It used to be the purpose of the convention to provide matters in parallel computing to a group of capability engineering/scientific clients. an outline of the cutting-edge in numerous very important learn parts is given by means of top scientists of their box. The class query is taken up at quite a few issues, starting from parametric characterizations, verbal exchange constitution, and reminiscence distribution to regulate and execution schemes. vital concerns in multiprocessing and operation, corresponding to scalability, options of overcoming reminiscence latency and synchronization overhead, in addition to fault tolerance of verbal exchange networks are mentioned. the matter of designing and debugging parallel courses in a elementary atmosphere is addressed and a few software adjustments for reinforcing vectorization and parallelization in a number of software events are defined. diversified algorithmic recommendations for the answer of yes periods of partial differential equations are mentioned. The homes of domain-decomposition algorithms and their mapping onto a CRAY-XMP-type structure are investigated and an summary is given of the advantage of varied methods to exploiting the acceleration power of multigrid tools. eventually, an summary functionality modeling method for the habit of functions on parallel and vector architectures is described.
Read or Download Parallel Computing in Science and Engineering: 4th International DFVLR Seminar on Foundations of Engineering Sciences Bonn, Federal Republic of Germany, June 25/26, 1987 PDF
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Extra info for Parallel Computing in Science and Engineering: 4th International DFVLR Seminar on Foundations of Engineering Sciences Bonn, Federal Republic of Germany, June 25/26, 1987
Fast Hough transform: a hierarchical approach. : Biclustering Algorithms for Biological Data Analysis: A Survey. : The Yen and Its East Asian Neighbors, 1980-1995: Cooperation or Competition? NBER Working Paper No. : Biclustering Algorithms: A Survey. In: Aluru, S. ) Handbook of Computational Molecular Biology. Computer and information Science Series. : A new strategy of geometrical biclustering for microarray data analysis. In: Proc. of the Fifth Asia-Pacific Bioinformatics Conference, pp. 47–56 (2007) Predicting the Effects of Alternative Pricing Strategies in an Artificial Society Undergoing Technology Adoption Judy K.
Cell state changes are determined by a consumer/agent’s utility function that is based on a multi-attribute model (Fishbein and Ajzen 1975) reflecting the stand-alone technological value of the product, the price of the product, the network of users associated with the product, the consumer’s expectations of the future size of the network (Besen and Farrell 1994), and the agents’ switching costs (Burnham, Frels and Mahajan 2003). In the equation Predicting the Effects of Alternative Pricing Strategies A A B A A A A B A A A A B A B A B A A A B B B A B A A A A B A B A A A A A A A A A A A B A B A A B A B A A A A B B A A A A A B A A A A A A A B A A A A 39 A A A A A A A A A A A A A A A A B Fig.
This number is randomly generated and fixed for that agent throughout the run. When it is time for an agent to change its expectation, it will update it based on which technology that the majority of its neighbors bought during the last time tick. The expectations are modified by a random number between 0 and 1. The expectation for the technology with the larger market share goes up by the fraction, while the expectation for its competitor goes down by the fraction. The expectations have a minimum of 0 and a maximum of 100.
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