What are the advanced concepts in GPU architecture?
Advanced GPU architecture concepts include parallel processing, memory hierarchy, and specialized cores like Tensor cores.
Can you explain how parallel processing works in GPUs?
Parallel processing in GPUs allows multiple threads to execute simultaneously, significantly speeding up computations.
What is the role of memory hierarchy in GPU performance?
Memory hierarchy in GPUs optimizes data access speeds, using different levels of cache to reduce latency and improve throughput.
How do Tensor cores enhance machine learning tasks?
Tensor cores are designed for high-throughput matrix operations, making them ideal for accelerating deep learning tasks.
What are some challenges in designing GPU architectures?
Challenges include managing power consumption, ensuring efficient data transfer, and balancing performance across different workloads.
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