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

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3 Author(s)
F. B. Hanson ; Lab. for Adv. Comput., Illinois Univ., Chicago, IL, USA ; D. J. Jarvis ; H. H. Xu

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

Published in:

Scalable High Performance Computing Conference, 1992. SHPCC-92, Proceedings.

Date of Conference:

26-29 Apr 1992