How do you optimize your Nvidia GPU using C++? If you want to know, read on! 😁

Come learn about the libraries and techniques that make writing CUDA C++ code easier and more performant. Through examples, we’ll explore all aspects of writing modern C++ software for GPUs, including heterogeneous memory management, algorithm design, and synchronization.

Bryce and Conor need very little introduction in the world of C++. Both are distinguished members of the C++ community.

What you will learn:

Choose between CUDA libraries and custom kernels

• Use libraries like Thrust, CUB, and libcu++
• Combine libraries with your own CUDA C++ code
• Understand performance trade-offs
• Pick the right tools to accelerate your C++ apps

Sign up is needed – limited seating!

Join us for a special event with teqHub, the Copenhagen C/C++ Meetup Group.

Partners: