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Dionysios Filippas, Chrysostomos Nicopoulos and Giorgos Dimitrakopoulos
Machine-learning accelerators rely on floating-point matrix and vector multiplication kernels. To reduce their cost, customized many-term fused architectures are preferred, which improve the latency, power, and area of the designs. In this work, we desig...
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