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Variants of the Chandy-Misra-Bryant Distributed Discrete-Event Simulation Algorithm.

机译:Chandy-misra-Bryant分布式离散事件仿真算法的变种。

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We have been using variants of the Chandy-Misra-Bryant (CMB) distributed discrete-event simulation algorithm since 1986 for a variety of simulation tasks. The simulation programs run on multicomputers (message- passing concurrent computers), such as the Cosmic Cube, Intel iPSC, and Ametek Series 2010. The excellent performance of these simulators led us to investigate a family of variants of the basic CMB algorithm, including lazy message-sending, demand-driven operation with backward demand messages, and adaptive adjustment of the parameters that control the laziness. These studies were also motivated by our interest in scheduling strategies for re-active (message-driven) multiprocess programs which are semantically similar to discrete-event (event-driven) simulators. The simulator itself is implemented in the reactive programming environment that we have developed for multicomputers: the Cosmic Environment and the Reactive Kernel. We performed the studies reported here using logic networks. Logic simulation is expected to stress a distributed simulator, and is itself of practical interest. It is easy to construct examples of logic networks with a diversity of behaviors and structural difficulties, such as large fan-in and fan-out. Low-level logic elements such as logic gates exhibit responses in which an input event may or may not influence the outputs, depending on the internal state of the element and on the states of other inputs; yet, they require very little computation to simulate their behavior. Thus, the performance results shown later in this paper involve practically no computation other than the distributed simulation itself.

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