Design method for Unconventional Computing
(2006) 10th Int. Workshop on Cellular Neural Networks and their Applications (CNNA) In Proceedings 10th IEEE Workshop on CNNA and their Applications p.334339 Abstract
 NetworkonChip concepts allow moving away from the classical, centralized computer. The meaningful collaboration of computing units over a wellbehaved network creates the infinite state space that underlies the Turing computer concept. The combinatorial state explosion that results from a NetworkonChip 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 NetworkonChip implementation. The approach is illustrated by the development of a Cellular Neural Network as a... (More)
 NetworkonChip concepts allow moving away from the classical, centralized computer. The meaningful collaboration of computing units over a wellbehaved network creates the infinite state space that underlies the Turing computer concept. The combinatorial state explosion that results from a NetworkonChip 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 NetworkonChip implementation. The approach is illustrated by the development of a Cellular Neural Network as a typical example of a wellbehaved network on small, embedded nodes. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/record/603757
 author
 Spaanenburg, Lambert ^{LU} ; Åkesson, B; Hansson, A and Goossens, K
 organization
 publishing date
 2006
 type
 Chapter in Book/Report/Conference proceeding
 publication status
 published
 subject
 keywords
 Cellular Neural Networks, NetworkonChip, SystemonSilicon., Field programmable gate arrays
 in
 Proceedings 10th IEEE Workshop on CNNA and their Applications
 pages
 334  339
 publisher
 IEEEInstitute of Electrical and Electronics Engineers Inc.
 conference name
 10th Int. Workshop on Cellular Neural Networks and their Applications (CNNA)
 external identifiers

 WOS:000245392200071
 Scopus:47549109241
 ISBN
 1424406404
 DOI
 10.1109/CNNA.2006.341655
 language
 English
 LU publication?
 yes
 id
 22b6ee6ca3ba4981b72a5c92b05f4673 (old id 603757)
 date added to LUP
 20071204 13:48:49
 date last changed
 20161013 04:36:42
@misc{22b6ee6ca3ba4981b72a5c92b05f4673, abstract = {NetworkonChip concepts allow moving away from the classical, centralized computer. The meaningful collaboration of computing units over a wellbehaved network creates the infinite state space that underlies the Turing computer concept. The combinatorial state explosion that results from a NetworkonChip 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 NetworkonChip implementation. The approach is illustrated by the development of a Cellular Neural Network as a typical example of a wellbehaved network on small, embedded nodes.}, author = {Spaanenburg, Lambert and Åkesson, B and Hansson, A and Goossens, K}, isbn = {1424406404}, keyword = {Cellular Neural Networks,NetworkonChip,SystemonSilicon.,Field programmable gate arrays}, language = {eng}, pages = {334339}, publisher = {ARRAY(0xb911950)}, series = {Proceedings 10th IEEE Workshop on CNNA and their Applications}, title = {Design method for Unconventional Computing}, url = {http://dx.doi.org/10.1109/CNNA.2006.341655}, year = {2006}, }