1984
DOI: 10.1016/0149-1970(84)90024-6
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Monte Carlo methods for radiation transport analysis on vector computers

Abstract: The development of advanced computers with special capabilities for vectorized or parallel calculations demands the development of new calculational methods. The very nature of the Monte Carlo process precludes direct conversion of old (scalar) codes to the new machines. Instead, major changes in global algorithms and careful selection of compatible physics treatments are required. Recent results for Monte Carlo in multigroup shielding applications and in continuous-energy reactor lattice analysis have demonst… Show more

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Cited by 67 publications
(32 citation statements)
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References 23 publications
(29 reference statements)
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“…Using random number generation method in recent years has found a wide application in physics [4]. Different simulation software's has been designed and used.…”
Section: Introductionmentioning
confidence: 99%
“…Using random number generation method in recent years has found a wide application in physics [4]. Different simulation software's has been designed and used.…”
Section: Introductionmentioning
confidence: 99%
“…The capabilities of these GPGPU processors have grown rapidly in the last few years, leading to significant gains in speed if a calculation can be cast in vector form. Since vectorization of Monte Carlo was proven 30 years ago, 4,5) it would appear straightforward. In practice, however, existing mature codes would have to be entirely restructured and largely rewritten to take advantage of vectorization; that is prohibitively expensive and would invalidate many years of verification and validation work.…”
Section: The Next Years Of Monte Carlo Codesmentioning
confidence: 99%
“…), often involving drums, extended core memory devices, disks, and punched cards. In the 1980s, a few codes were developed for vector computers 4,5,6) and then extended to parallel/vector computers such as the Cray-XMP, -YMP, -C90, -J90 series. During the 1990s, parallel Monte Carlo became commonplace due to the arrival of workstation clusters and modestly priced parallel systems.…”
Section: The First 60 Years Of Monte Carlo Codesmentioning
confidence: 99%
“…Also recognized was the fact that while providing an elegant means run on the first vector computer, the ILLIAC-IV [2]. The general principles from that work were later refined and extended greatly through the work of Forrest Brown in the 1980s [3]. However, as Brown's work shows, the single-instruction multiple-data (SIMD) parallel model inherent to vector processing does not lend itself to the parallelism on particles in Monte Carlo simulations.…”
Section: Introductionmentioning
confidence: 99%