Adoption-aware memory learning boosts LLM agent NPU kernel synthesis

SAGE achieves 95.5% execution rate on NPUKernelBench, outperforming baselines.

Chinese Tech
Longxiao Fan · Tao Zhang · Han Yan · Jiajun Li · Mingcong Song · Guoping Long · +2 more

Fudan University · University of Science and Technology of China · Huawei Technologies Ltd.

Research Digest··2 min read
Fan et al.

The authors propose SAGE (Self-Adaptive Generation from Experience), a persistent memory-learning agent for synthesizing kernels for Ascend NPUs.

Why this paper

From Huawei Technologies Ltd. and 2 others

In one line

SAGE achieves 95.5% execution rate on NPU kernel synthesis by tracking adoption and consolidating reusable rules.

What we could check

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  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks (2 benchmarks)

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