Parallel random number generator for inexpensive configurable hardware cells
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Parallel random bit generation methods could dramatically improve the generation rate and scalability by producing many random bits simultaneously.
“Parallel random bit generation methods could dramatically improve the generation rate and scalability by producing many random bits simultaneously.”
From Scalable parallel physical random number generator based on a superluminescent LED (2011) · cites this paper as [13]
Cites
Scaling concepts in polymer physics
Gordon, M. (1981) · Polymer · doi:10.1016/0032-3861(81)90183-x · Cited by 10,559 · see citing works
<i>Scaling Concepts in Polymer Physics</i>
de Gennes, P. G., & Witten, T. A. (1980) · Physics Today · doi:10.1063/1.2914118 · Cited by 9,348 · see citing works
Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
Matsumoto, M., & Nishimura, T. (1998) · ACM Transactions on Modeling and Computer Simulation · doi:10.1145/272991.272995 · Cited by 5,780 · see citing works
Crystal statistics. I. A two-dimensional model with an order-disorder transition
Onsager, L. (1944) · Physical Review · doi:10.1103/physrev.65.117 · Cited by 4,983 · see citing works
Collective Monte Carlo Updating for Spin Systems
Ulli Wolff, A. (1989) · Physical Review Letters · doi:10.1103/physrevlett.62.361 · Cited by 2,564 · see citing works
The Spontaneous Magnetization of a Two-Dimensional Ising Model
Yang, C. (1952) · Physical Review · doi:10.1103/physrev.85.808 · Cited by 1,231 · see citing works
The Art of Computer Programming, Vol. 2
Knuth, D. E. (1981) · Medical Entomology and Zoology · Cited by 861 · see citing works
RANDOM NUMBERS FALL MAINLY IN THE PLANES
Marsaglia, G. (1968) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.61.1.25 · Cited by 530 · see citing works
Random sequence generation by cellular automata
Wolfram, S. (1986) · Advances in Applied Mathematics · doi:10.1016/0196-8858(86)90028-x · Cited by 494 · see citing works
Monte Carlo simulations: Hidden errors from ‘‘good’’ random number generators
Ferrenberg, A. M., Landau, D. P., & Wong, Y. J. (1992) · Physical Review Letters · doi:10.1103/physrevlett.69.3382 · Cited by 437 · see citing works
A portable high-quality random number generator for lattice field theory simulations
Lüscher, M. (1994) · Computer Physics Communications · doi:10.1016/0010-4655(94)90232-1 · Cited by 287 · see citing works
Maximally equidistributed combined Tausworthe generators
L'Ecuyer, P. (1996) · Mathematics of Computation · doi:10.1090/s0025-5718-96-00696-5 · Cited by 276 · see citing works
Flajolet, P., & Odlyzko, A. M. (2007) · Lecture Notes in Computer Science · doi:10.1007/3-540-46885-4_34 · Cited by 274 · see citing works
Uniform random number generation
L’Ecuyer, P. (1994) · Annals of Operations Research · doi:10.1007/bf02136827 · Cited by 268 · see citing works
Spanning probability in 2D percolation
Ziff, R. M. (1992) · Physical Review Letters · doi:10.1103/physrevlett.69.2670 · Cited by 261 · see citing works
A very fast shift-register sequence random number generator
Kirkpatrick, S., & Stoll, E. (1981) · Journal of Computational Physics · doi:10.1016/0021-9991(81)90227-8 · Cited by 254 · see citing works
Self-citationAnalysis of Pseudo Random Sequences Generated by Cellular Automata
Meier, W., & Staffelbach, O. (2007) · Springer eBooks · doi:10.1007/3-540-46416-6_17 · Cited by 121 · see citing works
ANALYSIS OF RANDOM NUMBER GENERATORS USING MONTE CARLO SIMULATION
Coddington, P. D. (1994) · International Journal of Modern Physics C · doi:10.1142/s0129183194000726 · Cited by 99 · see citing works
Four-tap shift-register-sequence random-number generators
Ziff, R. M. (1998) · Computers in Physics · doi:10.1063/1.168692 · Cited by 85 · see citing works
Self-avoiding walks in two to five dimensions: exact enumerations and series study
MacDonald, D. J., Hunter, D. L., Kelly, K., et al. (1992) · Journal of Physics A Mathematical and General · doi:10.1088/0305-4470/25/6/006 · Cited by 82 · see citing works
Recursive sampling of random walks: self-avoiding walks in disordered media
Grassberger, P. (1993) · Journal of Physics A Mathematical and General · doi:10.1088/0305-4470/26/5/022 · Cited by 80 · see citing works
Physical models as tests of randomness
Vattulainen, I., Ala-Nissilä, T., & Kankaala, K. (1995) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.52.3205 · Cited by 75 · see citing works
On correlations in “good” random number generators
Grassberger, P. (1993) · Physics Letters A · doi:10.1016/0375-9601(93)91122-l · Cited by 65 · see citing works
Evolving Reaction-Diffusion Ecosystems with Self-Assembling Structures in Thin Films
Breyer, J., Ackermann, J., & McCaskill, J. S. (1998) · Artificial Life · doi:10.1162/106454698568422 · Cited by 44 · see citing works
Self-citationSpatially resolved in vitro molecular ecology
McCaskill, J. S. (1997) · Biophysical Chemistry · doi:10.1016/s0301-4622(97)00073-2 · Cited by 40 · see citing works
Self-citationTESTS OF RANDOM NUMBER GENERATORS USING ISING MODEL SIMULATIONS
Coddington, P. D. (1996) · International Journal of Modern Physics C · doi:10.1142/s0129183196000235 · Cited by 38 · see citing works
Framework for testing random numbers in parallel calculations
Vattulainen, I. (1999) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.59.7200 · Cited by 15 · see citing works
McCaskill, J. S., Maeke, T., Gemm, U., et al. (1997) · Lecture notes in computer science · doi:10.1007/3-540-63173-9_52 · Cited by 14 · see citing works
Self-citationA parallel hardware evolvable computer POLYP
Tangen, U., Schulte, L., & McCaskill, J. S. (2002) · doi:10.1109/fpga.1997.624625 · Cited by 9 · see citing works
Self-citationBlum, M. (2005) · Springer eBooks · doi:10.1007/bfb0023818 · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Scalable parallel physical random number generator based on a superluminescent LED
Li, X., Cohen, A. B., Murphy, T. E., & Roy, R. (2011) · Optics Letters · doi:10.1364/ol.36.001020 · Cited by 146 · see citing works
- Authors
- Ackermann, J., Tangen, U., Bödekker, B., Breyer, J., Stoll, E., & McCaskill, J. S.
- Affiliations
- University of Zurich (CH)
- Corresponding author
- Ackermann, J.
- Venue
- Computer Physics Communications
- Publisher
- Elsevier BV
- Published
- 2001-11
- Volume
- 140
- Issue
- 3
- Pages
- 293-302
- ISSN
- 0010-4655 (ISSN-L)
- OpenAlex
- W2055371453
- Cited by
- 21
- References
- 30
- Citations by year
- 2023: 1 · 2015: 1 · 2013: 3 · 2012: 1
- FWCI
- 1.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computer Physics Communications (publishedVersion)
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Cellular Automata and Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
- Physical Sciences › Physics and Astronomy › Condensed Matter Physics › Theoretical and Computational Physics
- Keywords
- random number generators, parallel processors, cellular automata, configurable hardware, FPGA, self-avoiding walks, two-dimensional Ising model, speedup
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
