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Introduces the basics of GPUs, CUDA programming, and thread synchronization for parallel computing applications.
Explores hardware specialization, ASIC advantages over processors, and strategies for achieving ASIC-like efficiencies in chip design.
Explores GPUs' architecture, CUDA programming, image processing, and their significance in modern computing, emphasizing early start and correctness in GPU programming.
Covers cache coherence in multiprocessor systems and the challenges of maintaining coherence and consistency in modern processors.
Covers the basics of multi-threaded processors, including design, performance impact, and pipeline utilization.
