Unverified50% confidenceFactExact time
The product-key structure expands memory capacity from O(N) to O(N²) while requiring only O(N) storage and computation.
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50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
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Related Claims
UnverifiedProduct-key memory organizes memory as the Cartesian product of two sets of key vectors, with each memory slot indexed by the product of a pair of keys (k₁, k₂).71% similarUnverifiedThe KV Cache size of sliding window attention is constant, achieving O(1) memory usage rather than O(n).70% similarUnverifiedThe advantages of a ring buffer are constant memory usage and O(1) operation time complexity, making it suitable for temporary storage of streaming data.69% similarUnverifiedFlashAttention 通过分块计算（tiling）和重计算（recomputation）策略，将中间激活值的存储需求从 O(N²) 压缩至 O(N)68% similarVerifiedKV Cache reduces the computational complexity of self-attention from O(N²) to O(N) by caching already-computed Key-Value pairs in GPU memory, but memory usage grows linearly with sequence length.68% similar
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