A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to accelerate the rendering of images, graphics, and visual computations in computer systems. Unlike a Central Processing Unit (CPU), which is optimized for general-purpose computation tasks, a GPU is optimized for parallel processing and is highly efficient at performing large numbers of simultaneous calculations.

Here's how a GPU works:

Parallel Architecture:

GPUs consist of thousands of small processing cores that work together in parallel to execute tasks. These cores are organized into streaming multiprocessors (SMs), each containing multiple processing units called CUDA cores (in NVIDIA GPUs) or shader cores (in AMD GPUs). This parallel architecture allows GPUs to perform computations on many data elements simultaneously, making them highly efficient for parallelizable tasks.

Graphics Rendering:

The primary function of a GPU is to render graphics and images for display on a screen. This involves processing geometric data (vertices) and texture data (pixels) to generate the final image. GPUs use specialized rendering pipelines and shading languages (such as OpenGL or DirectX) to perform tasks such as vertex transformation, rasterization, and pixel shading.

General-Purpose Computing: