
Heterogeneous Computing with Raja Koduri
Oxide and Friends
00:00
Exploring Memory Intensive Workloads and GPU Efficiency
Explore the significance of memory in LLM workloads, comparing GPU architectures like Nvidia, AMD, and Intel using transport analogies. The discussion highlights the challenges of achieving performance across hardware variations due to implicit biases in data and compute packing.
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