English(EN) CircuitsDNA: Discovering Unconventional Multi-Accuracy Arithmetic Circuits via Evolutionary Synthesis

新框架进化出适应性算术电路以提高AI效率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 18:03

研究人员开发了CircuitsDNA，一个新颖的进化框架，旨在自动创建能够动态调整其精度的算术电路以提高效率。该系统集成了多阈值可验证性、资源受限搜索和自适应突变，以探索广泛的电路设计。在28纳米CMOS中的实验表明，8位乘法器的面积-功耗积显著降低，在INT8 DNN工作负载上节省高达56%，同时相对于FP32的精度损失最小。 AI

影响这项研究可能通过使电路能够动态地在精度和性能之间进行权衡，从而实现更节能的AI硬件。

排序理由这是一篇研究论文，详细介绍了一个用于合成专用硬件电路的新框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.NE (Neural & Evolutionary) 阅读 →

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arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Mehdi Saligane · 2026-09-01 18:03

CircuitsDNA：通过进化合成发现非常规多精度算术电路

Emerging edge AI workloads increasingly require arithmetic units that can trade computational accuracy for efficiency on demand. However, existing approximate arithmetic circuits are typically fixed-accuracy or rely on predefined structures for runtime configurability. This work …

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CircuitsDNA：通过进化合成发现非常规多精度算术电路

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