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ICPP
2008
IEEE
13 years 11 months ago
On the Design of Fast Pseudo-Random Number Generators for the Cell Broadband Engine and an Application to Risk Analysis
Numerical simulations in computational physics, biology, and finance, often require the use of high quality and efficient parallel random number generators. We design and optimi...
David A. Bader, Aparna Chandramowlishwaran, Virat ...
ICCS
2001
Springer
13 years 9 months ago
On Parallel Pseudo-Random Number Generation
Parallel computing has been touted as the pinnacle of high performance digital computing by many. However, many problems remain intractable using deterministic algorithms. Randomiz...
Chih Jeng Kenneth Tan
ISCAS
2006
IEEE
92views Hardware» more  ISCAS 2006»
13 years 11 months ago
Model of a true random number generator aimed at cryptographic applications
— The paper presents a simple stochastic model of a True Random Number Generator, which extracts randomness from the tracking jitter of a phase-locked loop. The existence of such...
Martin Simka, Milos Drutarovský, Viktor Fis...
ACSAC
2003
IEEE
13 years 10 months ago
Practical Random Number Generation in Software
There is a large gap between the theory and practice for random number generation. For example, on most operating systems, using /dev/random to generate a 256-bit AES key is highl...
John Viega
SP
2006
IEEE
193views Security Privacy» more  SP 2006»
13 years 11 months ago
Analysis of the Linux Random Number Generator
Linux is the most popular open source project. The Linux random number generator is part of the kernel of all Linux distributions and is based on generating randomness from entrop...
Zvi Gutterman, Benny Pinkas, Tzachy Reinman