High Performance Python Workshop

In this workshop, you will learn how to profile and optimize Python workflows on computing devices ranging from personal computers to high performance computing clusters.
Highlights include:

• Code profiling to identify bottlenecks
• Employing Numpy for vectorized operations
• Using Numba to compile Python code for improved speed
• Deploying Dask on Yale's HPC clusters to make use of distributed resources
• Accelerating Python code via GPUs with `cupy` and `numba-cuda`

Training materials are available at https://github.com/ycrc/high_performa...                             

This is an advanced instruction. Working knowledge of Python is required. 

Seats are limited. Registration is required. Reserve your seat at https://forms.gle/DsGgW3tTcpRDev3R6