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- W2178712996 abstract "In parallel Monte Carlo simulations, it is highly desirable to have a system of pseudo-random number generators that has good statistical properties and allows reproducibility of random sequences used by the individual processes. In this work, we discuss a distributed implementation of such a system on computer networks. The system employs linear congruential pseudorandom number generators obtained from the work “Random Number Generators for MIMD Parallel Processors” [1] and is organized as a virtual, complete binary tree. Nodes of the tree are the generators and the processes using them. The relationship between a node and its subtrees reflects that of a process and its children. Any binary tree up to a million nodes can be maintained. To achieve high utilization of the generators, we implement a dynamically expanding complete binary tree. A server is maintained on a host on our computer network and application programs obtain the generators from the interface provided by the system. The system guarantees that no generator is allocated more than once to an application process and no extraneous correlations are introduced. The pseudorandom number system uses the client/server model, communicating via the Remote Procedure Calls (RPC)." @default.
- W2178712996 created "2016-06-24" @default.
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- W2178712996 date "1995-01-01" @default.
- W2178712996 modified "2023-09-27" @default.
- W2178712996 title "Implementation of a Distributed Pseudorandom Number Generator" @default.
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- W2178712996 doi "https://doi.org/10.1007/978-1-4612-2552-2_9" @default.
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