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20242026
most citedEfficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning

4 citations · 6 across the 10 of their papers we have counts for

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eess.SY2026

STELLA: A 16nm Spatio-Temporal Elastic Low-Latency CGRA for Multi-Stage Pipelined Applications

Jun Yin, Chao Fang, Ryan Antonio +4

Emerging non-matrix ML kernels, such as LayerNorm, GeLu, FFT or circular convolutions, demand low-latency, energy-efficient spatial accelerators beyond MatMul-centric arrays. STELL…