GPU
4/16/2025
GPU - Graphics processing unit (GPU)
A Graphics Processing Unit (GPU), or Graphics Processing Unit, is a specialized processor designed to process graphics data and accelerate the display of images on the screen of a device. It is used in graphics cards and is used extensively in a variety of devices including personal computers, laptops, smartphones and supercomputers.
Main characteristics and functions of GPU:
- Architecture: the GPU consists of multiple cores that work in parallel to process graphics data. This allows it to efficiently process large amounts of data and perform complex calculations.
- Parallel Computing: The GPU is optimized for parallel computing, making it ideal for tasks that require multiple simultaneous operations, such as 3D graphics, virtual reality, and machine learning.
- Proprietary Memory: The GPU has its own video memory (VRAM), which is used to store textures, shaders and other graphics data. This provides high-speed data access and improves performance.
Differences between GPU and CPU:
- Central Processing Unit (CPU): Designed to perform common tasks and sequential operations. It is the "brain" of the computer system and manages the operating system, memory, and data I/O.
- Graphics Processing Unit (GPU): Specializes in graphics processing and parallel computing. It is ideal for tasks that require multiple operations to be performed simultaneously, such as 3D graphics and machine learning.