Unverified50% confidenceFactExact time
AsymLoop performs joint attention over global KV and local KV through a single softmax, so that each update integrates the persistent context with the current intermediate state.
1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
Sources
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Related Claims
UnverifiedAsymLoop's decoder is a weight-tied recurrent module whose hidden state is updated at each iteration, and local KV is generated accordingly.71% similarUnverified算子融合可将 LayerNorm、注意力、MLP 等操作合并为单一 kernel，减少启动开销和中间结果的显存读写60% similarUnverifiedASGI frameworks are based on an event loop; when one coroutine is waiting for I/O, it automatically switches to handle other ready coroutines, thereby achieving thousands of concurrent connections with a single thread58% similarUnverifiedContext Parallelism slices the input sequence along the sequence dimension so that each GPU handles the attention computation for a sub-sequence, with each card synchronizing the KV cache via all-gather.58% similarUnverifiedMethods for optimizing the KV cache include grouped-query attention (GQA), paged attention (such as vLLM's PagedAttention), and sliding window attention.57% similar
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