Parallel learning on the ArMenX machine by defining sub-networks
Yvon Autret, A. Thepaut, Gérald Ouvradou, Jo Le Drezen, J.D. Laisne · 2005
In this paper, we describe a parallel machine and show how it can be used for implementing parallel learning. The machine, called ArMenX, includes digital signal processors (DSPs) and transputers. DSPs are used for neural network computations. Transputers are used for DSP dynamic allocation. An existing learning algorithm has been chosen and implemented on the machine.