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Jongmin Seok

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Preprint Sep 2026

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

Results show that exposing prefix-shared computation is key to efficient TT-based embedding execution, and FlowTT, a flow-aware GPU execution framework that reformulates TT gather as a set of prefix-shared irregular computation flows, consistently achieves the lowest latency compared to existing methods.

Jongmin Seok, C. Rhee · 0 citations

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