Heterogeneous computing pairs diverse processors—like CPUs, GPUs, and FPGAs—within one system to tackle specialized tasks efficiently. By assigning each workload to its optimal hardware, it accelerates AI, data analytics, and scientific simulations while reducing energy consumption. Industries from automotive to cloud services leverage this architecture for real-time processing, benefiting developers and enterprises seeking higher performance per watt.
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