Could a 6 core processor overcome graphics boards?

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I have done a VS2013 project to test opencl at github OpenCL dir:

GitHub - jlopez2022/cpp_utils: Example of c++ programs[^]

In that example I calculated differential rms of a big vector (200mega size), then on CPU and debug mode it calculated at 100 Megaops/data

At CPU and release mode the calculus was about 400 Mops/data (so I supose it used the 4 cores in parallel).

Then I checked also on GPU and obtained 600 Mops/data

So in theory if I should use a 6 core cpu I should overcome the GPU processing unless CPU-GPU bandwith wuld be increased

The CPU was a 4 core E5 3.5Ghz
The GPU was a Radeon R9 390 with 2560 cores and 1Ghz

In theory the GPU is 182 times faster than the CPU but I supose unfortunately CPU needs loads of time to copy data to GPU memory

What I have tried:

GitHub - jlopez2022/cpp_utils: Example of c++ programs[^]

Posted 29-Aug-17 0:51am

Javier Luis Lopez

Updated 29-Aug-17 1:56am

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Jochen Arndt · Accepted Answer · 2017-08-29T01:56:00

The speed doubling in release mode is not sourced by parallel processing. It is sourced by the compiler optimising the code in release mode and omitting additional checks which are done in debug builds.

You have to explicitly write code for parallel processing.

Which method is finally faster (CPU code with parallel processing or GPU code) can't be answered in general. The only reliable method is to implement both and compare the results. But it depends on the used hardware (CPU / GPU, number of threads and cores) so that the results are different for different systems.

For such cases you can still implement both and provide an user option to select the method or perform short tests to let your application choose the fastest method.