Design method for unconventional computing

L. Spaanenburg; K.B. Akesson; M.A. Hansson; K.G.W. Goossens

doi:10.1109/CNNA.2006.341655

Design method for unconventional computing

L. Spaanenburg, K.B. Akesson, M.A. Hansson, K.G.W. Goossens

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Downloads (Pure)

Abstract

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.

Original language	English
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
Pages	1-6
ISBN (Print)	1-4244-0640-4
DOIs	https://doi.org/10.1109/CNNA.2006.341655
Publication status	Published - 2006

Access to Document

10.1109/CNNA.2006.341655

Cite this

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

@inproceedings{bd855c79486b4a3db121455662743b5e,

title = "Design method for unconventional computing",

abstract = "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.",

author = "L. Spaanenburg and K.B. Akesson and M.A. Hansson and K.G.W. Goossens",

year = "2006",

doi = "10.1109/CNNA.2006.341655",

language = "English",

isbn = "1-4244-0640-4",

pages = "1--6",

booktitle = "Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006, 28-30 August 2006, Istanbul, Turkey",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

Spaanenburg, L, Akesson, KB, Hansson, MA & Goossens, KGW 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. Institute of Electrical and Electronics Engineers, Picataway, pp. 1-6. https://doi.org/10.1109/CNNA.2006.341655

Design method for unconventional computing. / Spaanenburg, L.; Akesson, K.B.; Hansson, M.A. et al.
Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006, 28-30 August 2006, Istanbul, Turkey. Picataway: Institute of Electrical and Electronics Engineers, 2006. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Design method for unconventional computing

AU - Spaanenburg, L.

AU - Akesson, K.B.

AU - Hansson, M.A.

AU - Goossens, K.G.W.

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

U2 - 10.1109/CNNA.2006.341655

DO - 10.1109/CNNA.2006.341655

M3 - Conference contribution

SN - 1-4244-0640-4

SP - 1

EP - 6

BT - Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006, 28-30 August 2006, Istanbul, Turkey

PB - Institute of Electrical and Electronics Engineers

CY - Picataway

ER -

Design method for unconventional computing

Abstract

Access to Document

Fingerprint

Cite this