What is Parallel Processing?
Parallel processing is a computing technique that involves using multiple processors or computing devices to perform tasks concurrently. It is a way of increasing the speed of certain types of computations by dividing the work among multiple processors or devices, rather than relying on a single processor to handle all of the work.
There are two main types of parallel processing:
Hardware-based parallel processing: This involves using multiple physical processors or computing devices to perform tasks concurrently. This can be achieved through the use of multi-core processors, which have multiple processing cores on a single chip, or by using multiple computers or devices connected together in a parallel computing cluster.
Software-based parallel processing: This involves using software techniques to divide a task into smaller sub-tasks that can be processed concurrently by a single processor. This can be achieved through the use of threads or processes, which allow a single processor to switch between different tasks in a way that appears to be concurrent.
Parallel processing can be an effective way to increase the speed of certain types of computations, particularly those that involve large amounts of data or can be divided into smaller sub-tasks. It is often used in scientific and technical applications, as well as in data analytics and machine learning.