Active Wave Computing on Silicon: Chip Experiments
Csaba Rekeczky, István Petrás, István Szatmári, Péter Földesy · SZTAKI Publication Repository (Hungarian Academy of Sciences) · 2003
This paper discusses analogic cellular array architectures that can also be used to approximate partial differential equations (PDEs). Cellular arrays are massively parallel computing structures composed of cells placed on a regular grid. These cells interact locally and the array can have both local and global dynamics. The software of this architecture is an analogic algorithm that builds on analog and logical spatio-temporal instructions of the underlying hardware, that is, a locally connected cellular nonlinear network (CNN, (1)-(5)). Within this framework several classes of wave-type PDEs could be approximated. Examples will be shown for cellular wave-computing phenomena on existing CNN Universal Machine (CNN- UM, (2)) chips (e.g. (3)-(5)).