GPU

A GPU, or Graphics Processing Unit, executes several independent instructions at the same time via numerous parallel pipelines. GPUs are designed to handle the repetitive and concurrent computations needed in graphics processing, such as computing the position of objects in a 3D scene and the lighting, shadows, and reflections associated with them. They are also ideally suited to some AI or machine learning activities such as denoising and upscaling.

The GPU is often connected to the CPU and memory through a high-speed bus, allowing data to be exchanged swiftly between the two units. When a programme sends a request to the GPU for processing, the appropriate data is placed into the GPU’s memory. The data is subsequently assigned to a GPU core, which contains the specialised, parallelised units that process the instructions.  Once all essential processing is done, the results are either returned to the CPU and memory for additional processing or displayed on a monitor.

GPUs and CPUs are both types of processors that perform calculations in a computer, but they are optimised for different types of tasks.

A GPU, or Graphics Processing Unit, is a specialised processor that is optimised for handling large numbers of independent calculations in parallel and simultaneously.  Their cores are well-suited for tasks such as rendering 3D graphics, video encoding, and machine learning.

A CPU, or Central Processing Unit, is a general-purpose processor that is responsible for executing most of the instructions that make up a computer program. It is optimised for performing a wide range of tasks, including running operating systems, executing software applications, and performing basic arithmetic and logic operations. CPUs can have one or more cores that are used for sequential processing which is good for programs where the results of a previous instruction feed into subsequent instructions.

In terms of performance, GPUs are generally faster than CPUs for tasks that require parallel processing, such as rendering 3D graphics or certain artificial intelligence programs. However, CPUs are generally better suited for tasks that require sequential processing, such as running software applications or performing basic arithmetic and logic operations.

GPUs are used in a wide range of products and applications, such as:

• Desktop and laptop computers: Most modern computers include a dedicated GPU, which is used to render graphics, play games, and perform other visually intensive tasks.
• Gaming consoles: Gaming consoles, such as the Xbox and PlayStation, include specialised GPUs designed to deliver high-quality graphics and immersive gaming experiences.
• Mobile devices: Many modern smartphones and tablets include a GPU, which is used to render high-quality images and video, and to power mobile games.
• Automotive applications: GPUs are used in the automotive industry to drive the infotainment systems and perform autonomous vehicles functions.