Simulations often depend heavily on random numbers, yet the impact of random number generators is recognized seldom. The generation of random numbers for simulations is not trivia...
Roland Ewald, Johannes Rossel, Jan Himmelspach, Ad...
The paper introduces a cryptographic System on a Chip (SoC) implementation based on recent Actel nonvolatile FPGA Fusion chip with embedded ARM7 soft-core processor. The SoC is bui...
Phase-type (PH) distributions are proven to be very powerful tools in modelling and analysis of a wide range of phenomena in computer systems. The use of these distributions in sim...
Stochastic simulations and other scientific applications that depend on random numbers are increasingly implemented in a parallelized manner in programmable logic. High-quality ps...
Abstract. Monte Carlo simulation is one of the most widely used techniques for computationally intensive simulations in mathematical analysis and modeling. A multivariate Gaussian ...