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A novel random number generation (RNG) architecture of particular importance in VLSI for fine-grained parallel processing is proposed. It is demonstrated that efficient parallel pseudorandom sequence generation can be accomplished using certain elementary one-dimensional cellular automata (two binary states per site and only nearest-neighbor connections). The pseudorandom numbers appear in para
random number generation; VLSI systems; cellular automata; parallel processing; pseudorandom numbers; finite automata; parallel architectures; random number generation.

H. Card, P. Hortensius and R. McLeod, "Parallel Random Number Generation for VLSI Systems Using Cellular Automata," in IEEE Transactions on Computers, vol. 38, no. , pp. 1466-1473, 1989.
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