Applications of FORALL-formed computations in large scale stochastic dynamic programming

Abstract

Data parallel broadcasting methods have been developed by taking the advantages of the properties of stochastic, nonlinear, continuous-time dynamical systems. The stochastic components include both Gaussian and Poisson random white noise. An example of a grand challenge level application is the resource management problem. The purpose of this paper is to demonstrate that broadcasting can be efficiently performed, if the computational functions are FORALL-formed, i.e. arrays are formed using FORALL-loops. Also, it is predicted that the parallel data vault mass storage method becomes efficient and flexible if the computational functions are FORALL-formed.<>