Parallel computing is a type of computation where many calculations or processes are carried out simultaneously. This approach divides a large problem into smaller sub-problems, which can be solved concurrently using multiple processors or cores. It is characterized by its ability to significantly reduce computation time for complex tasks, making it essential for high-performance computing applications. Common use cases include scientific simulations, data analysis, and real-time processing in areas such as machine learning and artificial intelligence. By leveraging parallelism, systems can achieve greater efficiency and performance in handling large datasets and complex algorithms.
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AI Fundamentals