Accelerating floating-point to fixed-point data type conversion with evolutionary algorithms

The choice of the data type representation has significant impacts on the resource utilisation, maximum clock frequency and power consumption of any hardware design. Although arithmetic hardware units for the fixed-point format can improve performance and reduce energy consumption, the process of tu...

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Veröffentlicht in:	Electronics letters Jg. 51; H. 3; S. 244 - 246
Hauptverfasser:	Rosa, L.S, Toledo, C.F.M, Bonato, V
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 05.02.2015
Schlagworte:	accumulative arithmetic computation error Algorithms Arithmetic combinatorial optimisation problem Converting data type representation Evolutionary algorithms evolutionary computation Floating point arithmetic floating‐point to fixed‐point data type conversion Format Hardware Information and communications maximum clock frequency mobile robotic scenario mobile robots Optimization power consumption evolutionary computation maximum clock frequency mobile robotic scenario evolutionary algorithms combinatorial optimisation problem mobile robots floating-point to fixed-point data type conversion floating point arithmetic accumulative arithmetic computation error power consumption data type representation
ISSN:	0013-5194, 1350-911X, 1350-911X
Online-Zugang:	Volltext
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