The last recent changes were only tested with CPU and CUDA-kernel. The OpenCL-kernel compatible with the current data-structures. This has to be fixed by porting the CUDA-kernel to OpenCL.
Acceptance Criteria
The OpenCL-kernel works the same way with the same accuracy like the CUDA-kernel
There should be an automatic detection, if the available gpu is an nvidia-gpu or not
The OpenCL-kernel is used instead of the CUDA-kernel, when no nvidia-gpu is available
For the purpose of testing, it is possible to override the automatic detection and enforce the OpenCL-kernel even on nvidia-gpus
Additional Information
In Version 0.2.0 there was already a working version. Check this one out
Blocked by
61 because cmake privides a better option to compile text-files into the code
How to test
Test on node with OpenCL- and CUDA-kernel and if possible test on a node with AMD and a node with NVIDIA gpu
Feature
Description
The last recent changes were only tested with CPU and CUDA-kernel. The OpenCL-kernel compatible with the current data-structures. This has to be fixed by porting the CUDA-kernel to OpenCL.
Acceptance Criteria
Additional Information
In Version 0.2.0 there was already a working version. Check this one out
Blocked by
61 because
cmake
privides a better option to compile text-files into the codeHow to test