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== Use cases ==
== Use cases ==
{{Review|Please, improve the text format. The page should be good-looking|lleon}}


CUDA ISP provides an alternative solution to reduce CPU usage by allowing the GPU handle the image processing.  
CUDA ISP provides an alternative solution to reduce CPU usage by allowing the GPU handle the image processing.  
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{{Review|Some examples? You can cite, for instance, a board that runs many CPU applications, servers, and so|lleon}}


* '''Computers with no ISP built-in'''
* '''Computers with no ISP built-in'''
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* '''Application with many plugged in cameras'''
* '''Application with many plugged in cameras'''
Using cameras in applications require CPU processing for capturing images. Applications that may use many cameras can overload the CPU processing capacity affecting the performance of the CPU for non-related camera data processing. By letting the GPU handle the image processing of the cameras, the CPU can focus on processing data for the other elements in the application.
Using cameras in applications require CPU processing for capturing images. Applications that may use many cameras can overload the CPU processing capacity affecting the performance of the CPU for non-related camera data processing. By letting the GPU handle the image processing of the cameras, the CPU can focus on processing data for the other elements in the application.
*'''Streaming applications'''
Streaming applications require lots of CPU processing as well. By letting the GPU handle it with CUDA ISP, the CPU will be freed for other processing tasks.


== Tested Platforms ==
== Tested Platforms ==
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