NVIDIA Fundamentals of Accelerated Computing with CUDA Python

Advanced Research Computing

Find out more about CUDA Python from the NVIDIA Deep Learning Institute (DLI) and Advanced Research Computing, UoB.

University of Birmingham

The <a href="https://www.nvidia.com/en-us/deep-learning-ai/education/" title="https://www.nvidia.com/en-us/deep-learning-ai/education/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">NVIDIA Deep Learning Institute (DLI)</a> and <a href="https://www.birmingham.ac.uk/bear" title="https://www.birmingham.ac.uk/bear" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Advanced Research Computing, University of Birmingham</a> invite you to attend a hands-on CUDA Python workshop on Wednesday 11th March (09:00-17:00) at The University of Birmingham, exclusively for verifiable academic students, staff, and researchers.NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.This workshop teaches you the fundamental tools and techniques for running GPU-accelerated Python applications using CUDA® GPUs and the Numba compiler.At the conclusion of the workshop, you’ll have an understanding of the fundamental tools and techniques for GPU-accelerated Python applications with CUDA and Numba: <ul><li>GPU-accelerate NumPy ufuncs with a few lines of code.</li><li>Configure code parallelization using the CUDA thread hierarchy.</li><li>Write custom CUDA device kernels for maximum performance and flexibility.</li><li>Use memory coalescing and on-device shared memory to increase CUDA kernel bandwidth.</li></ul> Course Prerequisites:<ul><li>Basic Python competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations</li><li>NumPy competency, including the use of ndarrays and ufuncs</li><li>No previous knowledge of CUDA programming is required</li></ul>Please note that our courses are for research staff and research students only. Taught students - undergraduate and postgraduate - are not eligible to attend. Workshop Setup Instructions:Will be provided by email to attendees. This workshop is brought to you by:

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

NVIDIA Fundamentals of Accelerated Computing with CUDA Python

More events from Advanced Research Computing

Discover more events from Advanced Research Computing, from Science & Tech to other experiences you might love.

NVIDIA Fundamentals of Accelerated Computing with CUDA Python

More events from Advanced Research Computing

Discover more events from Advanced Research Computing, from Science & Tech to other experiences you might love.

More Science & Tech events

Browse more Science & Tech events with different dates, prices, and formats to find your next great experience.