Titlebook: Concurrent and Comparative Discrete Event Simulation; Ernst G. Ulrich,Vishwani D. Agrawal,Jack H. Arabia Book 1994 Springer Science+Busine

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CHYME

Introduction and Overview,Over the last 30 years, . has begun to compete with physical experimentation. This book extends this development. Escaping from the limitations of one-experiment-at-atime discrete event simulation, it describes the . simulation of many experiments or other tasks, a methodology . with physical experimentation.

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Book 1994which it provides a combination of extreme efficiency and generality . Yet, it is remarkable that no book published so far presents a correct and sufficiently detailed treatment of concurrent simulation. A first reason to welcome into print the effort of the authors is, therefore, that it provides a

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Harald Mellerowicz,Wolfgang Mellered here, including science, engineering, and business applications. MDCCS is crucial for most of them. Figure 2-1 illustrates the relationship between the CCSIMDCCS simulation . and the applications. The applications are essentially independent from the kernel, but some interface software or . is required.

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GUILE

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New Applications,ed here, including science, engineering, and business applications. MDCCS is crucial for most of them. Figure 2-1 illustrates the relationship between the CCSIMDCCS simulation . and the applications. The applications are essentially independent from the kernel, but some interface software or . is required.

厚顏

Simulation on Multiprocessors, us normalize the computing effort of the first experiment as 1 unit of CPU time. Suppose the second experiment differs from the first in a small fraction Δ. Ideally, the effort of CS is 1 + Δ. This is much faster than the . simulation which would have taken two units of time.