Python GPU Programming Workshop

N8 CIR

Alex Coleman from the University of Leeds will be hosting a two-part workshop on Python GPU programming.

Apply for a place at this two-part workshop by registering for the event and answering the questions. Event description detailsWant to learn more about how to write code in Python that can take advantage of graphical processing units (GPUs)? Sign up for this two-part course introducing GPU programming through Python.In-person: 9th Matrch 2023 in NewcastleVirtual: 18th April 2023Pre-requisites:<ul><li>Very basic command line</li><li>Comfortable writing basic Python</li><li>Familiarity with NumPy, basic C would be beneficial</li></ul>You do not require previous experience of:<ul><li>using GPUs</li><li>parallel programming experience</li></ul>Knowledge of basic command line (UNIX shell) usage would be helpful. To refresh your knowledge, please consider registering for our N8 CIR <a href="https://www.eventbrite.co.uk/e/unix-shell-workshop-tickets-519600347627" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Unix Shell workshop</a> on February 14.Session 1: 28th February 2023 (in person)This session will introduce basic concepts around what is a GPU and introduce some existing Python packages that we can use to allow us to take advantage of GPUs. The course will be an hands-on, in person delivered workshop allowing you to get to grips actually writing GPU accelerated Python.Topics covered include:<ul><li>What is a GPU</li><li>Differences between CPU and GPU</li><li>Introduction to CuPy</li><li>Example convolution using the GPU</li><li>Running NumPy on the GPU</li><li>Using Numba to run Python code on the GPU</li><li>Introduction to CUDA, writing your first kernel</li></ul>Session 2: 18th April 2023 (virtual)This session will recap some basic concepts around GPUs and start to explore more advanced topics around using CUDA. The course will be an hands-on, virtual workshop allowing you to get to grips actually writing GPU accelerated Python.Topics covered include:<ul><li>Recap of GPUs and CUDA</li><li>Shared memory and synchronisation on the GPU</li><li>Constant memory on the GPU</li><li>Concurrent execution of multiple kernels on the GPU</li></ul>AgendaSession 1: 9th March (in person)10:00	Introduction10:20	Using your GPU with CuPy11:00	Break11:10	Using your GPU with CuPy (cont.)12:00	Lunch13:00	Accelerate your Python code with Numba14:30	Break14:40	Your First GPU Kernel16:00	CloseSession 2: 14th April (virtual)10:00	Welcome and recap10:20	Your First GPU Kernel11:00	Break11:10	Registers, Global, and Local Memory12:00	Lunch13:00	Shared Memory and Synchronization14:30	Break14:40	Constant Memory15:00	Concurrent access to the GPU16:00	Close

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}

Python GPU Programming Workshop

More events from N8 CIR

Discover more events from N8 CIR, from Science & Tech to other experiences you might love.

Python GPU Programming Workshop

More events from N8 CIR

Discover more events from N8 CIR, from Science & Tech to other experiences you might love.

You might also like...

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