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Jongmin Seok

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Preprint Sep 2026

FlowTT: Exploiting Computation Flow Reuse in Irregular Tensor-Train Embedding

Tensor-Train (TT) decomposition effectively compresses large embedding tables in recommendation models, but TT-based embedding lookup remains inefficient because partially shared computation flows across input indices are not fully reused and intermediate results are repeatedly materialized off-chip between sequential...

Jongmin Seok, C. Rhee · 0 citations

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