NDLI: The Table-Hadamard GRNG: An Area-Efficient FPGA Gaussian Random Number Generator

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The Table-Hadamard GRNG: An Area-Efficient FPGA Gaussian Random Number Generator

Content Provider	ACM Digital Library
Author	Thomas, David B.
Copyright Year	2015
Abstract	Gaussian random number generators (GRNGs) are an important component in parallel Monte Carlo simulations using FPGAs, where tens or hundreds of high-quality Gaussian samples must be generated per cycle using very few logic resources. This article describes the Table-Hadamard generator, which is a GRNG designed to generate multiple streams of random numbers in parallel. It uses discrete table distributions to generate pseudo-Gaussian base samples, then a parallel Hadamard transform to efficiently apply the central limit theorem. When generating 64 output samples, the Table-Hadamard requires just 130 slices per generated sample, which is a third of the resources needed by the next best technique, while still providing higher statistical quality.
Starting Page	1
Ending Page	22
Page Count	22
File Format	PDF
ISSN	19367406
e-ISSN	19367414
DOI	10.1145/2629607
Volume Number	8
Issue Number	4
Journal	ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-09-24
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Arithmetic operations Parallel algorithms Reconfigurable applications
Content Type	Text
Resource Type	Article
Subject	Computer Science

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