Importance sampling for Ising computers using one-dimensional cellular automata

The authors demonstrate that one-dimensional (1-D) cellular automata (CA) form the basis of efficient VLSI architectures for computations involved in the Monte Carlo simulation of the two-dimensional (2-D) Ising model. It is shown that the time-intensive task of importance sampling the Ising configu...

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Veröffentlicht in:	IEEE transactions on computers Jg. 38; H. 6; S. 769 - 774
Hauptverfasser:	Hortensius, P.D., Card, H.C., McLeod, R.D., Pries, W.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.06.1989 Institute of Electrical and Electronics Engineers
Schlagworte:	Algorithmics. Computability. Computer arithmetics Applied sciences Computational modeling Computer architecture Computer science; control theory; systems Concurrent computing Exact sciences and technology Monte Carlo methods Pervasive computing Physics computing Signal processing algorithms Systolic arrays Temperature Theoretical computing Very large scale integration Monte Carlo method Parallel algorithm Cellular automaton VLSI circuit Computer architecture Algorithmics Pseudorandom number Parallelism Random number generation
ISSN:	0018-9340
Online-Zugang:	Volltext
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