How does parallel task processing differ from multithreaded execution in programming?

Parallel processing and multithreading are different concepts, although they often intersect.

• Multithreading is the execution of multiple threads within a single process, which can run simultaneously or sequentially, sharing the process memory. Threads are easier to create and switch between, but they compete for shared resources, requiring synchronization.

• Parallel processing is the execution of multiple tasks simultaneously, usually on different CPU cores or even on different machines. It can be implemented through multiprocessing, distributed systems, or clusters.

Example:

• In Go, goroutines are lightweight threads that allow writing multithreaded code.
• If you have multiple cores, goroutines can run in parallel; otherwise, they run concurrently (sequentially).

Thus, multithreading is a way of organizing code, while parallel processing describes how tasks are actually executed on hardware.