SOLVING SYSTEM PARTITIONING PROBLEM USING A MASSIVELY-PARALLEL BIO-COMPUTING NETWORK

Full metadata record

DC Field	Value	Language
dc.contributor.author	CHANG, RI	en_US
dc.contributor.author	HSIAO, PY	en_US
dc.date.accessioned	2014-12-08T15:04:11Z	-
dc.date.available	2014-12-08T15:04:11Z	-
dc.date.issued	1994	en_US
dc.identifier.isbn	0-444-81989-4	en_US
dc.identifier.issn	0926-5473	en_US
dc.identifier.uri	http://hdl.handle.net/11536/2671	-
dc.description.abstract	In this paper a massively parallel bio-computing network model is presented for the system partitioning problem in VLSI CAD under timing and capacity constraints. Experiments show that the proposed method was able to find optimal solutions with fast feedback. The future research is to develop a neural network based CAD system for resolving time-consuming VLSI design problems.	en_US
dc.language.iso	en_US	en_US
dc.subject	VLSI CAD	en_US
dc.subject	SYSTEM PARTITIONING	en_US
dc.subject	NEURAL NETWORKS	en_US
dc.title	SOLVING SYSTEM PARTITIONING PROBLEM USING A MASSIVELY-PARALLEL BIO-COMPUTING NETWORK	en_US
dc.type	Article; Proceedings Paper	en_US
dc.identifier.journal	INFORMATION PROCESSING '94, VOL I: TECHNOLOGY AND FOUNDATIONS	en_US
dc.citation.volume	51	en_US
dc.citation.spage	129	en_US
dc.citation.epage	134	en_US
dc.contributor.department	交大名義發表	zh_TW
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	National Chiao Tung University	en_US
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:A1994BB29Q00018	-
Appears in Collections:	Conferences Paper