phaniarnab commented on PR #2050:
URL: https://github.com/apache/systemds/pull/2050#issuecomment-2227233567

   > > Thanks, @WDRshadow, for initiating the project. As discussed before, 
please experiment with realistic use cases such as parallel scoring and 
training. You can use our DNN built-ins.
   > 
   > Thank you for your comment. My partner @KexingLi22 is writing the test 
classes. We will see it soon. For DNN testing, we were faced with the awkward 
situation of not having enough suitable GPUs for testing. As I mentioned above, 
newer graphics cards can not run on Jcuda `10.2.0`. To be precise, `CUDA 10.2` 
is not supported by RTX30 series, A100 and newer graphics cards. My test 
environment lacks older graphics cards. Could you please help us to test in a 
multi-GPU environment with suitable GPUs after we have written the test 
classes? Or again, could you provide any testing environment for us?
   
   Thanks for clarifying. Unfortunately, at this point, we cannot provide a 
setup. Once you are done with the project, I can run some performance tests 
along with our performance test suits. But during the development period, it is 
not feasible to try every change in our shared node.
   Without a proper setup of two GPUs, it will be very hard to complete this 
project. I can offer two possible directions from here:
   1) Try running SystemDS on this setup with one GPU at CUDA 10.2 and the 
other at 11. CUDA 11 has some API differences and may not be able to execute 
all CUDA methods, but you may still have a functioning system. However, I never 
tried this myself and unsure about the behavior.
   2) Instead of multi-GPU, first implement a multi-stream single-GPU parfor. 
You need a single GPU with CUDA 10.2. You can use the Jcuda API to create 
multiple GPU streams, and assign a stream to each parfor thread. This is 
probably a better alternative.


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