What is parallel computing?

Parallel computing refers to a computational approach where multiple processors or cores work on different parts of a problem simultaneously. This means that rather than one processor handling a single task sequentially, multiple processors are utilized to perform calculations at the same time, leading to improved performance and reduced processing time for complex computations.

In the context of Option A, this accurately describes parallel computing as it emphasizes the simultaneous execution of different calculations by separate processors, enabling efficiency in processing large datasets or complex algorithms.

The other options provide different concepts that do not align with the definition of parallel computing. For instance, the technique for enhancing single-core processing speed relates more to optimization within a single processor and doesn’t involve multiple cores operating in conjunction. Sequential processing of tasks pertains to handling tasks one after the other, which contrasts with the primary principle of parallelism. Lastly, reducing the size of data isn't a principle of parallel computing; rather, it relates to data compression or management strategies that do not involve simultaneous calculations.