This is the final report of a three-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The advent of ever more powerful computers allows one to run Monte Carlo computations of unprecedented length. Currently used random number generators (RNGs) do not have the cycle length necessary for these computations. It is possible to cycle completely through most RNGs used on workstations in a few minutes computations. Even having a long period may not qualify a RNG as suitable. The authors are developing tests that will allow them to develop high quality RNGs for use in long computations
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
This is the final report of a three-year, Laboratory-Directed Research and Development (LDRD) projec...
Abstract- Computers ’ required random numbers initially, for simulations and numerical computations ...
Random numbers are widely employed in cryptography and security applications and represent one of th...
Random number generators (RNGs) are widely used in conducting Monte Carlo simulation studies, which ...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
Random number generators are used in many applications, from slot machines to simulations of nuclear...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
Winner, ScienceGood random number generators (RNGs) are required for many applications in science an...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We describe a strategy for random number generation that efficiently supports per-particle-state for...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
This is the final report of a three-year, Laboratory-Directed Research and Development (LDRD) projec...
Abstract- Computers ’ required random numbers initially, for simulations and numerical computations ...
Random numbers are widely employed in cryptography and security applications and represent one of th...
Random number generators (RNGs) are widely used in conducting Monte Carlo simulation studies, which ...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
Random number generators are used in many applications, from slot machines to simulations of nuclear...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
Winner, ScienceGood random number generators (RNGs) are required for many applications in science an...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We describe a strategy for random number generation that efficiently supports per-particle-state for...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...