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A Hardware Efficient Random Number Generator for Nonuniform Distributions with Arbitrary Precision
Joint Authors
Korn, Elke
Wehn, Norbert
Marxen, Henning
de Schryver, Christian
Kostiuk, Anton
Korn, Ralf
Schmidt, Daniel
Source
International Journal of Reconfigurable Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Nonuniform random numbers are key for many technical applications, and designing efficient hardware implementations of non-uniform random number generators is a very active research field.
However, most state-of-the-art architectures are either tailored to specific distributions or use up a lot of hardware resources.
At ReConFig 2010, we have presented a new design that saves up to 48% of area compared to state-of-the-art inversion-based implementation, usable for arbitrary distributions and precision.
In this paper, we introduce a more flexible version together with a refined segmentation scheme that allows to further reduce the approximation error significantly.
We provide a free software tool allowing users to implement their own distributions easily, and we have tested our random number generator thoroughly by statistic analysis and two application tests.
American Psychological Association (APA)
de Schryver, Christian& Schmidt, Daniel& Wehn, Norbert& Korn, Elke& Marxen, Henning& Kostiuk, Anton…[et al.]. 2012. A Hardware Efficient Random Number Generator for Nonuniform Distributions with Arbitrary Precision. International Journal of Reconfigurable Computing،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-489564
Modern Language Association (MLA)
de Schryver, Christian…[et al.]. A Hardware Efficient Random Number Generator for Nonuniform Distributions with Arbitrary Precision. International Journal of Reconfigurable Computing No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-489564
American Medical Association (AMA)
de Schryver, Christian& Schmidt, Daniel& Wehn, Norbert& Korn, Elke& Marxen, Henning& Kostiuk, Anton…[et al.]. A Hardware Efficient Random Number Generator for Nonuniform Distributions with Arbitrary Precision. International Journal of Reconfigurable Computing. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-489564
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-489564