👉 Saved computing refers to the practice of storing intermediate results or data generated during a computation process in memory or storage, rather than recomputing them each time the computation needs to be repeated. This technique can significantly reduce the overall computational time and resource usage, especially in iterative algorithms or those involving complex calculations. By reusing previously computed values, saved computing minimizes redundant work, leading to more efficient use of computational resources such as CPU cycles, memory bandwidth, and storage. In practical applications, this can translate to faster execution times, lower energy consumption, and the ability to handle larger datasets or more complex models within the same hardware constraints.
