Perspectives of Cellular Neural Networks for MC
simulations
(or … a new hope for fast computing)
additional materials
M
á
ria Magdolna Ercsey-Ravasz
(1,2)
Tam
ás Roska
(1
)
and
Zoltán Néda
(2)
(1)
Pázmány Péter
Catholic University
,
Department of
Information Technology
(2)
Babes-Bolyai
University
Department of
Theoretical Physics
-
Structure of CNN
-
The CNN Universal Machine
used CNN codes
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CNN code for a realistic binary random-number
generator (p=1/2 probability)
-
CNN code for a realistic binary random-number
generator (any p probability)
-
CNN code for percolation detection
some movies
-
binary random number generator
on the chip (p=0.375)
-
binary random number generator
on the chip (p=0.25)
-
propagation of the chip’s error for
the RNG (p=0.5)