Pitzer
Running jobs requeued on all clusters
Rolling reboot of all clusters starting from Oct 25 2023
HOWTO: Use GPU with Tensorflow and PyTorch
GPU Usage on Tensorflow
Environment Setup
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
HOWTO: Run Python in Parallel
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.
HOWTO: Use GPU in Python
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.
Git 2.39.0 is available
Git 2.39.0 has been installed on Pitzer. Usage is via the module git/2.39.0. For help loading an installation, use the command: "module spider git/2.39.0". That command also emits information on usage and installation details.