Ansys 2023R2 is now available on Owens. Usage with:
module load ansys/2023R2
To begin, you need to first create and new conda environment or use an already existing one. See HOWTO: Create Python Environment for more details. In this example we are using python/3.6-conda5.2
Once you have a conda environment created and activated we will now install tensorflow-gpu into the environment (In this example we will be using version 2.4.1 of tensorflow-gpu:
conda install tensorflow-gpu=2.4.1
STAR-CCM+ 18.04.008 (v2306) is available on Owens. Mixed precision is also available. Use module load starccm/18.04.008 and module load starccm/18.04.008-mixed , respectively.
We can improve performace of python calculation by running python in parallel. In this turtorial we will be making use of the multithreading library to run python code in parallel.
If you plan on using GPUs in tensorflow or pytorch see HOWTO: Use GPU with Tensorflow and PyTorch
This is an exmaple to utilize a GPU to improve performace in our python computations. We will make use of the Numba python library. Numba provides numerious tools to improve perfromace of your python code including GPU support.
Gromacs 2023.2 has been installed on all the clusters. Usage is via the module gromacs/2023.2. For help loading an installation, use the command: "module spider gromacs/2023.2". That command also emits information on usage and installation details.
