Graphics processing units (GPUs) were originally designed to handle graphics processing and display tasks. However, modern GPUs are used not only for graphics, but also to accelerate various computational tasks.
GPU basic functions
- Graphics processing. The GPU provides fast graphics processing and display in games, videos, and other applications.
- Accelerated computing. With parallel threading, modern GPUs are used to accelerate complex computations in areas such as Artificial Intelligence, machine learning, and scientific simulations.
Main differences between GPU and CPU
A CPU is a general-purpose processor that controls the operating system and performs various tasks, including complex ones, one after the other. A GPU specializes in parallel computing, meaning it is capable of performing many tasks simultaneously provided those tasks are not complex. CPU processors typically have up to 64 cores, while GPUs can contain tens of thousands of smaller cores, allowing them to perform a huge number of simple operations simultaneously.
Applications of GPUs
- Games and graphics. GPUs are essential for games and applications that require high-quality graphics.
- Artificial Intelligence and Machine Learning. GPUs are used to accelerate model training and data processing in these areas.
- Scientific research. GPUs are used to accelerate simulations and computations in a variety of scientific research applications.
- Cryptocurrencies. GPUs are used for cryptocurrency mining, which requires significant computing power.
GPUs are an important component not only for home computers, but also for servers, where GPUs are used to accelerate various computing tasks.