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arXiv · 2609.39361

LampAttention: Look-Ahead Mixed-Precision FlashAttention for Dedicated Accelerators

Stanislav Budzinskiy·Marian Gloser·Tolunay Yilmaz·Ying Hong Tham·Yuanyi Lin·Wenyi Fang·Fan Wu·Philipp Petersen
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Abstract

While most attention logits can be computed in low precision without degrading numerical stability, current attention kernels fail to exploit this phenomenon. We introduce a novel hardware-algorithm co-design in the form of mixed-precision FlashAttention. Our method accumulates key-query products and evaluates their exponentials in 8-bit formats, then adaptively identifies sensitive sub-blocks and recomputes them in 16-bit formats. We propose the specifications for a dedicated accelerator capable of executing this pipeline efficiently. Simulated experiments with Qwen3 and Gemma 3 show that rerouting a selective minority of sub-blocks to high precision is sufficient to recover the baseline model performance.

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Stanislav Budzinskiy, Marian Gloser, Tolunay Yilmaz, Ying Hong Tham, Yuanyi Lin, Wenyi Fang, Fan Wu, Philipp Petersen. 2026-09-30. LampAttention: Look-Ahead Mixed-Precision FlashAttention for Dedicated Accelerators. https://arxiv.org/abs/2609.39361

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