What is parallel processing?
Briefly

Parallel processing, essential in modern computing, allows simultaneous execution of tasks by dividing them into smaller chunks across multiple processors. Originating with mainframe computers, it was enhanced through multi-core technology and distributed computing. Unlike traditional serial processing, which executes instructions one after the other on a single CPU, parallel processing accelerates execution times and is critical for high-performance computing applications. Various forms, like bit-level parallelism, contribute to reducing the number of instructions executed, further increasing efficiency and speed.
Parallel processing is a method of computing that enables the simultaneous execution of multiple tasks by dividing a larger task into smaller, independent parts, allowing multiple processors to work concurrently. This approach significantly reduces the execution time of programs, making it essential for modern high-performance and supercomputing applications.
The evolution of parallel processing began with the introduction of multi-core processors and distributed computing, marking a significant shift from traditional serial computation methods where tasks are executed in a linear, one-at-a-time fashion.
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