<ul><li>A novel GEMM architecture called tuGEMM is proposed for low-precision edge AI.</li><li>tuGEMM is based on temporal-coding and performs exact computation.</li><li>Two variants of tuGEMM, serial and parallel, are introduced with distinct area/power-latency trade-offs.</li><li>The designs show significant advantages in area-power efficiency compared to state-of-the-art stochastic unary systems, especially at low precisions.</li></ul>

tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI

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