It is well known that the resolution of Maxwell equations may provide large dense matrices, being thus a computer intensive problem. Even small problems require a huge amount of memory to manipulate matrices during the O(N3) involved operations. The fast multipole method enables to compress and approximate matrices. Coupled with an iterative resolution of the linear system the complexity reduces to O(Niter N log N) operations. In order to use multiprocessors machine and to reduce computation times, we propose here a parallel implementation of the fast multiple method. This article relates our first results, as well as the difficulties encountered.
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Pascal Havé (2003) studied this question.
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