I am using the odroid XU3 board. It has the Samsung Exynos5422 SoC. The SoC has BigLittle CPUs and the Arm Mali T628 MP6 GPU. I would like to run the CPU and the GPU in parallel on different sections of the array that I am processing. Currently to enforce coherency I have to use clEnqueueMapBuffer and clEnqueueUnmapMemObject. Usage of these OpenCL functions gives a performance degradation and due to this running the CPU and GPU in parallel becomes pointless. I have the following questions.
1) Are the caches of the ARM CPU and the GPU on this SoC coherent ?
2) The GPU shows up as two devices in OpenCL. Are these GPUs cache coherent ?3) Is there anyway to enforce coherency other than using MapBuffer and UnmapMemObject CL functions ?
Hi Kiran,
The way Map / Unmap are implemented is down to the implementer, in our case the memory get mapped when it's allocated and will remain mapped for the entire life of the buffer / image, which means Map / Unmap will only perform some cache maintenance and not some memory mapping.
As mentioned before the driver will take care of automatically synchronising the GPU caches before and after every GPU job, the CPU then gets the updated value by calling map / unmap. (Because Map / Unmap are associated to a command queue then you have a dependency between the GPU jobs and Map / Unmap).
Case 1:
map -> unmap -> enqueueNdRangeKernel : There will be a dependency of the kernel enqueued on the unmap operation, therefore the GPU cache maintenance will happen after the unmap.
Case 2:
enqueueNdRangeKernel -> map : There will be a dependency of the map operation on the kernel execution, therefore the GPU cache maintenance will happen before the map.
Hope this helps,
Anthony
Thanks Anthony. You are of great help.