High Performance Python: GPUs

Wed, Nov 18, 2020, 4:30 pm to 6:30 pm
Location: 
Remote Learning
Speaker(s): 
Sponsor(s): 
PICSciE/Research Computing


This workshop will introduce participants to high performance Python on GPUs using tools to provide “simplified” GPU programming, as well as offer a brief look into creating custom kernels by hand.

Learning objectives: Attendees will learn a collection of methods to accelerate Python code if they have access to a GPU, as well as have an idea of how to migrate existing Python code to a GPU.

Knowledge prerequisites: Intermediate Python knowledge (including Numpy). High-Performance Python: CPU recommended but not required.
Hardware/software prerequisites: (1) Have an SSH client installed on your laptop. (2) Register for an account on Adroit. This is the cluster we will use for demonstration purposes. Make sure you can SSH to Adroit before the workshop by following this guide. (3) Optional: Have the Anaconda Distribution installed on your laptop to run things locally if you have a laptop with an NVIDIA GPU.

Workshop format: Lecture and hands-on

Please register online at www.princeton.edu/training.  If you need help with registration,  please contact alrubins@princeton.edu

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