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 ...
High performance computing is critical for financial markets where analysts seek to accelerate complex optimizations such as pricing engines to maintain a competitive edge. In th...
We present a formal model and a simple architecture for robust pseudorandom generation that ensures resilience in the face of an observer with partial knowledge/control of the gen...
Mobile Ad-Hoc Networks (MANETS) are networks of mobile nodes that do not have a fixed infrastructure. Recent research in this field addresses ways of solving existing problems i...
During pseudorandom testing, a significant amount of energy and test application time is wasted for generating and for applying “useless” test vectors that do not contribute t...
Sheng Zhang, Sharad C. Seth, Bhargab B. Bhattachar...