Network-on-Chip concepts allow moving away from the classical, centralized computer. The meaningful collaboration of computing units over a well-behaved network creates the infinite state space that underlies the Turing computer concept. The combinatorial state explosion that results from a Network-on-Chip will easily prove more valuable than the mere technological progress in memory storage, when the network nodes become small enough. Embedded SuperComputing has this unconventional goal. This paper introduces a design method for such computing concepts. It discusses how a software simulation is gradually migrated into a Network-on-Chip implementation. The approach is illustrated by the development of a Cellular Neural Network as a typical example of a well-behaved network on small, embedded nodes.
|Title of host publication||Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006, 28-30 August 2006, Istanbul, Turkey|
|Place of Publication||Picataway|
|Publisher||Institute of Electrical and Electronics Engineers|
|Publication status||Published - 2006|
Spaanenburg, L., Akesson, K. B., Hansson, M. A., & Goossens, K. G. W. (2006). Design method for unconventional computing. In Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006, 28-30 August 2006, Istanbul, Turkey (pp. 1-6). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CNNA.2006.341655