GPU Programming with C++ and CUDA (training)

Colleagues, in the “GPU Programming with C++ and CUDA” program you will master GPU programming using C++ and CUDA to significantly enhance your software's performance. By focusing on parallelism, you’ll learn to leverage the full power of GPUs for high-performance computing applications. You will acquire practical knowledge on managing GPU devices, optimizing GPU resource usage, and integrating GPU code with Python to build scalable and efficient applications. This course emphasizes real-world strategies for optimizing performance and building reusable libraries. Learn to: 1) Accelerate real-world tasks using GPU parallelism, 2) Optimize performance with CUDA streams and custom C++ solutions, and 3) Create and share GPU libraries with Python integration. And you will develop high-demand skills with Scripting, C and C++, Development Environment, Test Tools, Performance Testing, Memory Management, Development Testing, Computer Programming, Software-Defined Networking, Computer Architecture, Containerization, Programming Principles, Algorithms, Performance Tuning, Debugging, Hardware Architecture, and Software Development Tools while using Python Programming, C++, and Docker. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/vDvJMd 

For your listening-reading pleasure:

1 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible) (Kindle) 

2 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

3 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

4 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much success in your GPU programming career journey, Online Learning Central (share with colleagues & friends)