Mersenne Twister uniform random number generators are key cores for hardware acceleration of Monte Carlo simulations. In this work, two different architectures are studied: besides the classical tablebased architecture, a new architecture based on a circular buffer and especially targeting FPGAs is proposed. A 30% performance improvement has been obtained when compared to the fastest previous w...

By means of a simple OMNeT++ simulation scenario, which uses parallel streams of random numbers, we want to point out several technical pitfalls when applying different random number generators and using different initialization values for them. We describe shortcomings of the built-in random number generator (RNG) and describe traps when using modern RNGs. Quantitative and qualitative analyses...

This paper analyses the effect of using different random number generators (RNG) in a hardware implementation of Genetic Programming using Field Programmable Gate Arrays. Hardware systems have typically used RNGs based on Logical Feedback Shift Registers or Cellular Automata. Different configurations of these generators are evaluated as well as using a source of true random numbers and a standa...

Energy crisis in particular, electricity the isolated rural areas of Indonesia is a very crucial issue that needs to be resolve through electrification . Compared other options, pico hydro cross-flow turbine (CFT) better option provides electrical power for areas. Studies improve CFT performance can undertaken analytically, numerically, experimentally, or combination those methods. However, dev...

Random number generation (RNG) is needed for a myriad of applications ranging from secure communication encryption to numerical simulations sports and games. However, generating truly random numbers can be elusive. Pseudorandom bit using computer algorithms provides high rate. Nevertheless, the reliance on predefined makes it deterministic predictable once initial conditions are known. Relying ...