What are the basics of GPU architecture in C++?

What are the basics of GPU architecture in C++?

GPU architecture refers to the design and structure of graphics processing units, which are crucial for parallel processing. In C++, you can leverage libraries like CUDA or OpenCL to utilize GPU capabilities.

How does CUDA work with C++?

CUDA is a parallel computing platform and application programming interface (API) model created by NVIDIA. It allows developers to use C++ to write programs that execute across GPUs, enabling significant performance improvements for compute-intensive tasks.

What are some common applications of GPU programming?

Common applications include deep learning, scientific simulations, image processing, and real-time rendering in games.

Can you explain the difference between CUDA and OpenCL?

CUDA is specific to NVIDIA GPUs, while OpenCL is an open standard that works across various hardware platforms, including CPUs and GPUs from different vendors.