Parallel Computing
Parallel computing is a type of computation where multiple calculations or the execution of processes are carried out simultaneously. This is achieved by breaking down a large problem into smaller sub-problems that can be solved concurrently. Parallel computing is used to solve complex problems in various fields such as scientific computing, data analytics, and machine learning. It is particularly useful in data science and artificial intelligence where large datasets need to be processed quickly. Parallel computing can be achieved through various techniques such as multi-core processors, graphics processing units (GPUs), and distributed computing. The use of parallel computing can significantly reduce the time required to process large datasets and improve the performance of machine learning algorithms.
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