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t.alex
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re: CES: Ceva recognizes gestures with new core
t.alex   1/8/2012 12:33:12 AM
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I think they target mobile devices so speed needs to be fast while poweef needs to be low.

para723
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re: CES: Ceva recognizes gestures with new core
para723   1/7/2012 4:30:36 AM
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@dnandy, thanks for the interesting comments. I can understand how a dedicated hardware architecture results in better efficiency (i.e. performance improvement), but I am not clear as to how power consumption is reduced. e.g. we are comparing power consumption for gesture recognition between the MM-3101 and an ARM Cortex A9.

goafrit
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re: CES: Ceva recognizes gestures with new core
goafrit   1/6/2012 2:14:53 PM
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It is about footprints. It can take same power to power ten chips when you can have them in one chip.

goafrit
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re: CES: Ceva recognizes gestures with new core
goafrit   1/6/2012 2:14:06 PM
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Power and area - monolithin chip gives you better value in power and integration

krisi
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CEO
re: CES: Ceva recognizes gestures with new core
krisi   1/5/2012 9:36:19 PM
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thank you @dnandy, can you tell how much power can be saved this way? Kris

dnandy
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re: CES: Ceva recognizes gestures with new core
dnandy   1/5/2012 8:56:48 PM
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This is a comment to both.Image understand tasks require 2-D area based image processing, best applied using vector processors and data-flow architectures. Doing this is SW really reduces it multiple for loop structures, which consume cycles and power. A dedicated data-flow vector processing pipeline can do it efficiently at lower power. The key is to balance the HW flexibility so that programability is not impacted

Duane Benson
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Blogger
re: CES: Ceva recognizes gestures with new core
Duane Benson   1/5/2012 6:52:44 PM
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I suspect that this will either be a short-lived product or end up only in niche applications. The next generation of processors will likely have enough horsepower to do the same tasks in software without a significant performance hit.

krisi
User Rank
CEO
re: CES: Ceva recognizes gestures with new core
krisi   1/5/2012 3:31:26 PM
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Why does gesture recognition require dedicated silicon? Can't this be done in DSP or microprocessor? Kris



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