What is the impact of changing a job's schedule from serial to parallel?

Changing a job's schedule from serial to parallel allows for multiple tasks or processes to be executed simultaneously rather than one after the other. This parallel execution makes better use of available system resources, such as CPU and memory, enabling more efficient processing.

When jobs are run in parallel, they can handle large datasets or complex operations more quickly, as distinct processes can occur without waiting for others to complete. This can significantly reduce the total time required for job completion, leading to faster execution.

In contrast, serial execution would mean that only one task is completed at a time, often resulting in longer wait times, particularly if some tasks are resource-intensive or time-consuming. Therefore, transitioning to a parallel schedule is generally advantageous in terms of performance and speed.