量化(信号处理)
计算机科学
融合
算法
能量(信号处理)
图层(电子)
高效能源利用
物理
电子工程
传感器融合
作者
S. J. Ben Yoo,Dongyun Kam,Gunho Park,Soonhyun Kwon,D. H. Lee,Youngjoo Lee
标识
DOI:10.1109/isscc49663.2026.11409105
摘要
State-space models (SSMs) and weight-only quantization alleviate huge external memory access with a minimal accuracy degradation. To support both efficiently, we propose LUTSSM, a LUT-based SSM accelerator with a many-to-many LUT-ACC and an element-wise (EW) layer fusion. LUT-SSM efficiently supports INT-FP GEMM and sequential EW operations in the SSM blocks. Fabricated in 28nm FD-SOI, LUT-SSM achieves 99.3TFLOPS/W peak efficiency and 96.1TFLOPS/W on Mamba 1.4B, improving energy efficiency by$1.28 \times$over recent designs.
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