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Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding
The development of long-context Large Language Models (LLMs) is constrained by the memory bandwidth bottleneck and quadratic complexity of the attention mechanism during decoding. To overcome the inherent trade-offs between the memory overhead of metadata-based metrics and the computational ineffici
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