1) b 2) Pytorch 3) Python 4) cuda, pytorch 5,6,7,8) yes On Mon, Apr 3, 2023 at 2:25 PM Yelle, Robert Brian < robert.yelle@oregonstate.edu> wrote:
Cluster users,
We are conducting a survey of our users to better understand how the cluster is being used. When you get a chance, please take a few moments to briefly answer the questions below, and reply directly to me and NOT to the list. Your feedback would be greatly appreciated.
1) How would you describe your cluster usage?
a) primarily CPU based
b) primarily GPU based
c) mix of CPU and GPU
2. What application(s) do you run on the cluster (e.g. Matlab, Ansys, Star-CCM+, VASP, custom, etc.)?
3. What programming language(s) do you use or program in (e.g. Python, C, Fortran, R, etc.)?
4. What libraries, platforms and APIs do you *primarily* use on the cluster? (e.g. MPI, MKL, BLAS, LAPACK, CUDA, list your key Python or R packages, etc.).
Also, Nvidia will offer a series of trainings in the near future on using GPUs on DGX systems. Please answer the following if you are interested in these trainings:
5. Are you interested in migrating from CPU based code to GPU?
6. Are you interested in an introductory workshop on GPU computing?
7. Are you interested in a workshop on accelerating your Python GPU code?
8. Are you interested in a workshop on profiling your GPU code?
Thanks!
Rob Yelle
HPC Manager
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