@Article{Supelec865,
author = {Nicolas Fressengeas and Hervé Frezza-Buet},
title = {{Cellular Computing and Least Squares for partial differential problems parallel solving}},
journal = {Journal of Cellular Auromata},
year = {2014},
volume = {9},
number = {1},
pages = {1-21},
abstract = {This paper shows how partial differential problems can be nu-
merically solved on a parallel cellular architecture through a
com-pletely automated procedure. This procedure leads from a dis-
crete differential problem to a Cellular Algorithm that
efficiently runs on parallel distributed memory architectures.
This completely automated procedure is based on a adaptation
of the Least Square Finite Elements Method that allows local
only computations in a discrete mesh. These local computations
are automatically derived from the discrete differential problem
through formal computing and lead automatically to a Cellular
Algorithm which is efficiently coded for parallel execution on a
dedicated distributed interactive platform.
}
}