Which of the following describes Parallel Processing?

Parallel processing refers to the technique of using multiple processors or cores within a computer system to execute tasks simultaneously. This approach allows for the division of a larger task into smaller sub-tasks that can be processed at the same time. By utilizing multiple processing units, parallel processing significantly enhances computational speed and efficiency, particularly for complex problems and large data sets.

In this context, while processing tasks sequentially on one CPU would involve a linear approach, distributing tasks across multiple computers may describe distributed computing rather than true parallel processing within a single machine. The elimination of the need for software licenses does not pertain to the processing methodology itself and does not correctly describe parallel processing.

Thus, the option that accurately captures the essence of parallel processing is the one that highlights the use of multiple processors for executing tasks simultaneously. This capability is a crucial aspect of modern computing systems, particularly in fields requiring intensive computation, such as scientific simulations, financial modeling, and large-scale data analysis.