Implementation of Finite State Machines on a Reconfigurable Device

A
AHS
2007
Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)
Abstract - Implementation of Finite State Machines on a Reconfigurable Device

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	Similar Articles Articles by Graema Milligan Articles by Wim Vanderbauwhede

Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)

University of Edinburgh, Scotland, United Kingdom

August 05-August 08

ISBN: 0-7695-2866-X

	ASCII Text	x
	Graema Milligan, Wim Vanderbauwhede, "Implementation of Finite State Machines on a Reconfigurable Device," Adaptive Hardware and Systems, NASA/ESA Conference on, pp. 386-396, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007.

	BibTex	x
	@article{ 10.1109/AHS.2007.64, author = {Graema Milligan and Wim Vanderbauwhede}, title = {Implementation of Finite State Machines on a Reconfigurable Device}, journal ={Adaptive Hardware and Systems, NASA/ESA Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2866-X}, pages = {386-396}, doi = {http://doi.ieeecomputersociety.org/10.1109/AHS.2007.64}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Adaptive Hardware and Systems, NASA/ESA Conference on TI - Implementation of Finite State Machines on a Reconfigurable Device SN - 0-7695-2866-X SP386 EP396 A1 - Graema Milligan, A1 - Wim Vanderbauwhede, PY - 2007 KW - null VL - 0 JA - Adaptive Hardware and Systems, NASA/ESA Conference on ER -

Graema Milligan, University of Glasgow

Wim Vanderbauwhede, University of Glasgow

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AHS.2007.64

We present a novel method for the implementation of Finite State Machines (FSM) using a reconfigurable architecture. The proposed method utilises run-time reconfiguration to reduce the hardware required t o implement FSMs. This is achieved through the use of a unique representation of the FSM which allows the next state of the state machine t o be calculated solely from the primary inputs rather than the primary inputs and the current state as would be traditionally required. This reduction i n parameters significantly reduces the size of the hardware block required to calculate the next state.

Citation:

Graema Milligan, Wim Vanderbauwhede, "Implementation of Finite State Machines on a Reconfigurable Device," ahs, pp.386-396, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007

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