Task parallelism is a programming model where multiple independent tasks are executed concurrently, allowing for efficient utilization of computational resources. It focuses on dividing a larger problem into smaller, discrete tasks that can run simultaneously, thus speeding up the overall computation and making better use of multi-core processors. This approach is particularly significant in functional programming, where functions can often be executed independently.
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