Publication | Closed Access
An emulated digital architecture implementing the CNN Universal Machine
16
Citations
9
References
2002
Year
Unknown Venue
Emulated Digital ArchitectureConvolutional Neural NetworkEngineeringVlsi DesignWhole ArchitectureComputer ArchitecturePhysical Processing CellsMixed-signal Integrated CircuitParallel ComputingComputer EngineeringComputer ScienceDeep LearningNeural Architecture SearchMicroelectronicsVariable AccuracyCellular Neural NetworkVlsi ArchitectureVlsiDigital Circuit Design
An emulated digital VLSI CMOS architecture is described, where the main features are as follows: (i) variable accuracy, (ii) a complete CNN Universal Machine on the silicon, (iii) a good area time trade off. The whole architecture was defined on VHDL and the following key parameters of the implementation were computed namely, (i) the speed (1 ns/virtual cell/iteration), (ii) the number of the physical processing cells per cm/sup 2/ is 24 by using 0.35 /spl mu/m three metal layer CMOS technology.
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