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Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference
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AI-Generated Summary Dense attention performance is governed by group size (query heads per KV head), head dimension, and sequence length, each affecting prefill (compute-bound) and decode (memory-bound) phases differently; arithmetic intensity and GEMM shape analysis reveal that decode efficiency scales with group size, while prefill is dominated by sequen…
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