Task-based parallelism is a programming model that focuses on breaking down a program into distinct tasks that can be executed concurrently. This approach allows for efficient resource utilization and enhances performance, as tasks can be dynamically scheduled and executed on available processors. By utilizing this model, developers can create applications that adapt to varying workloads and hardware configurations, improving overall efficiency.
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