Hårdvaruassisterad

Hårdvaruassisterad describes a computational process or function that is significantly accelerated or enabled by dedicated hardware components. Instead of relying solely on general-purpose software running on a central processing unit (CPU), certain tasks are offloaded to specialized hardware. This specialization allows for much faster execution and greater efficiency for the specific operations the hardware is designed for.

Common examples of hårdvaruassisterad features include graphics processing units (GPUs) for rendering images and video, hardware accelerators for encryption and decryption, and dedicated audio processing chips. In modern computing, many complex operations, such as machine learning inference, video encoding/decoding, and even certain network packet processing, benefit from hårdvaruassisterad implementations. This approach leads to improved performance, reduced power consumption, and allows the CPU to focus on other general-purpose tasks, contributing to a more responsive and capable system overall.