Artificial Neural Networks on Massively Parallel Computer Hardware.
Udo Seiffert · 2002
It seems to be an everlasting discussion. Spending a lot of additional time and extra money to implement a particular algorithm on parallel hardware is often considered as the ultimate solution to all existing time problems for the ones- and the most silly waste of time for the others. In fact, there are many pros and cons, which should be always individually weighted. Besides many specific constraints, in general artificial neural networks are worth to be taken into consideration. This tutorial paper gives a survey and guides those people who are willing to go the way of a parallel implementation utilizing the most recent and accessible parallel computer hardware and software. The paper is rounded off with an extensive reference section. 1