There has been a rise in the use of graphics processing units (GPUs) for general purpose computing outside of purely visual applications, from accelerating scientific research simulations, training artificial intelligence in an extensive range of fields, analyzing medical images, to predicting new proteins.
This talk will look at Python-based software, tools, and frameworks that are available to help researchers and practitioners utilize the technology on NVIDIA GPU-based systems.