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.
#parallel-processing #high-performance-computing #multi-core-processors #computing-speed #supercomputing
Collection
[
|
...
]