AIBullisharXiv – CS AI · Feb 276/108
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GRAU: Generic Reconfigurable Activation Unit Design for Neural Network Hardware Accelerators
Researchers propose GRAU, a new reconfigurable activation unit design for neural network hardware accelerators that uses piecewise linear fitting with power-of-two slopes. The design reduces LUT consumption by over 90% compared to traditional multi-threshold activators while supporting mixed-precision quantization and nonlinear functions.