Webinar: Accelerating Python with GPUs

SOURCE | 1 year ago


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There has been a huge rise in the use of graphics processing units for general purpose computing outside of purely visual applications. From accelerating scientific research simulations, to training artificial intelligences in an extensive range of fields, or 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.

Register now to see how to supercharge your applications with the power of NVIDIA GPUS. 


Speaker

Paul Graham

Paul Graham - Senior Solutions Architect - NVIDIA

At NVIDIA Paul has responsibility for supporting customers and partners in delivering accelerated solutions for the higher education, high performance computing, and AI communities in the UK. Previously, he spent 20 years working at EPCC, the supercomputing centre at the University of Edinburgh.


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