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I've a Lenovo G50 series laptop with AMD A8-6410 @2Ghz, 8 GB RAM with a R5 230M and Radeon HD 8550M cards inside.

In Windows 10 is it possible to run a CLI based program ( ffmpeg for video compression to be specific ) using all the cores of the CPU and GPU or say 2 instances of it in separate processors to speed up / improve performance?

If so how?

  • This is vague specification of the problem. For such a question an answer would be: run multiple cmd windows and there you can run multiple processes from CLI. Whenever you start a new process the additional resources are asigned automatically. – Vojtěch Dohnal Aug 30 '16 at 7:08
  • I know I can run multiple instances of cmd, I wanna know of I can use my AMD GPUs processing power for any program – daddyodevil Aug 30 '16 at 7:24
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    The program must be created to make the use of it, otherwise it is not possible, as far as I know. – Vojtěch Dohnal Aug 30 '16 at 7:26
  • NVidia enables it, but it is settings for the developers, not end users developer.nvidia.com/about-cuda – Vojtěch Dohnal Aug 30 '16 at 7:29
  • I did mention I have AMD all-in-all – daddyodevil Aug 30 '16 at 7:30
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It is possible to use GPU as an additional computing resource, but this option is not available to the end user, it is an option for a developer. So as an end user you cannot tell a program of your choice to use your GPU, it is a developer's job to enable it.

For AMD it is called OpenCL, see following links:

http://developer.amd.com/tools-and-sdks/opencl-zone/

https://streamcomputing.eu/blog/2015-03-16/how-to-install-opencl-on-windows/

As a user you can run OpenCL program but you cannot force any normal non-OpenCL app to behave as OpenCL app, it is not possible.

Here is a list of OpenCL enabled AMD products:

http://developer.amd.com/tools-and-sdks/opencl-zone/amd-accelerated-parallel-processing-app-sdk/system-requirements-driver-compatibility/

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