Replaying cached inputs cuts state memory traffic in SSM decoding

Liou et al. show that representing a state-space model's state as a checkpoint plus a buffer of recent inputs roughly halves state memory traffic and speeds hybrid model serving.

Big Tech
Ze-Wei Liou · Harris Nover · Amey Naik · Andrii Skliar · Igor Shovkun · Ido Shahaf · +1 more

Princeton University · NVIDIA

Research Digest··3 min read
Liou et al.

The authors redesigned recurrent state management in state-space models (SSMs).

Why this paper

From NVIDIA and Princeton University

In one line

Representing an SSM state as a checkpoint plus a recent-input buffer cuts state memory traffic, enables cheap speculative rollback, and keeps state quantization error out of later updates.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ✓Limitations stated by the authors
  • ✓Reports numbers on named benchmarks (3 benchmarks)

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

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Research Digest

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