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The article delves into the core differences between CPUs and GPUs in handling parallel computing tasks, covering concepts like Von Neumann Architecture, Hyper-Threading, and Instruction Pipelining. It explains the evolution of GPUs from graphics processors to powerful tools for accelerating deep learning algorithms.