Recorded 04 May 2023. Seshu Yamajala of SLAC National Accelerator Laboratory presents "Scaling NumPy applications from 1 CPU to thousands of GPUs" at IPAM's workshop for Complex Scientific Workflows at Extreme Computational Scales. Abstract: Python and NumPy have significantly lowered the barrier for entry for developing complex scientific applications. These applications are often limited to executing on a single CPU which can quickly become a performance bottleneck and limit the size of datasets they can work on. We give an introduction to cuNumeric, a drop-in replacement for NumPy which allows applications to scale to multiple nodes and accelerates them using GPUs. Learn more online at: hhttp://www.ipam.ucla.edu/programs/workshops/workshop-iii-complex-scientific-workflows-at-extreme-computational-scales/