Fundamentals of Accelerated Computing with CUDA C/C++

Hello all, here's the first workshop of our Workshop month! Register from the link in BIO!

This workshop is worth 500 dollars, but will be free for kAi members, with Nvidia certificates included!

We'll be having Sina Mostafanejad as our primary instructor, from the USA.

In the workshop, he will be covering:
- Accelerating CPU-only applications to run their latent parallelism on GPUs
- Utilizing essential CUDA memory management techniques to optimize accelerated applications
- Exposing accelerated application potential for concurrency and exploiting it with CUDA streams
- Leveraging command line and visual profiling to guide and check your work
Upon completion, you’ll be able to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast.

Prerequisities: Basic C/C++ competency including familiarity with variable types, loops, conditional statements, functions, and array manipulations. No previous knowledge of CUDA programming is assumed.

Tools, Libraries, and Frameworks Used
- CUDA C++
- nvcc
- Nsight Systems

Quota is limited, make sure to apply early!

See you soon, 
kAi