CUDA Live: Your Parallel Programming Guide
Join the architects of CUDA education for a live discussion on the best paths to mastering GPU computing. From foundational concepts to advanced optimization, learn how to leverage NVIDIA’s open-source resources to level up your code.
Featuring:
Izzat El Hajj: Author, Programming Massively Parallel Processors
Jonathan Bentz: CUDA Technical Marketing Manager
Tony Scudiero: Author, CUDA Programming Guide
Katrina Riehl: CUDA Education Lead
In this session, we will cover:
The newly updated CUDA Programming Guide
Demonstrations of the open-source Python and C++ Tutorials available in the Accelerated Computing Hub
CUDA Deep Learning Institute courses
A sneak peek into the upcoming release of Programming Massively Parallel Processors 5th ed.
Live Q&A with our panel of CUDA educators and promoters
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