Abstract
This paper presents results on the performance of a novel and flexible concurrent simulation environment known as EcliPSe. The paradigm we advocate is based on the premise that replication based simulations, either nondistributed or minimally distributed, yield excellent speedups. The approach used makes concurrent simulation easily accessible to researchers because its use does not require knowledge of parallel programming. The experiments we report include Monte Carlo type simulations (e.g., estimating integrals, order-statistics), Markov-chain simulations (hitting-times, distributed algorithms), and discrete-event simulation (e.g., tail probabilities in queues, FDDI token ring performance, and simulations of high performance software testing techniques on SIMD machines).
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