Abstract
The architecture for a compact Gaussian Random Number Generator based on the inversion of the gaussian cdf for word lengths less than 8 bits is discussed. The generator occupies < 10% of area of conventional 16 or 32 bit GRNG implementations and thus can be useful in cases where a gaussian random number of small word length will suffice and area is at a premium.
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© 2011 Springer-Verlag Berlin Heidelberg
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Das, S., Patkar, S. (2011). A Compact Gaussian Random Number Generator for Small Word Lengths. In: Koch, A., Krishnamurthy, R., McAllister, J., Woods, R., El-Ghazawi, T. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2011. Lecture Notes in Computer Science, vol 6578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19475-7_10
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DOI: https://doi.org/10.1007/978-3-642-19475-7_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19474-0
Online ISBN: 978-3-642-19475-7
eBook Packages: Computer ScienceComputer Science (R0)