👉 Adjusted computing refers to the process of modifying and optimizing computational tasks to better align with specific hardware capabilities, environmental conditions, or user requirements, thereby improving efficiency and performance. This involves techniques such as dynamic resource allocation, where computing resources like CPU, memory, and storage are allocated based on real-time demands; algorithmic adjustments to reduce computational complexity or energy consumption; and software optimizations that leverage particular hardware features, such as GPUs for parallel processing or specialized AI accelerators. By tailoring the computing process to the available resources and context, adjusted computing aims to enhance performance, reduce latency, minimize energy usage, and provide a more personalized user experience.
