👉 Save computing, also known as saving or checkpointing, is a technique used in computing to periodically store the state of a running process or computation at specific intervals. This allows for the recovery of the computation from that saved state in case of a failure, such as a system crash or power outage, without starting the process from scratch. By saving intermediate results, save computing reduces the loss of progress and minimizes the time needed to restart computations from the last saved state, thereby enhancing the robustness and efficiency of long-running or complex computations. This technique is particularly crucial in distributed systems, parallel processing, and applications involving iterative algorithms where maintaining state consistency is vital.
