2 papers
cs.AR2026
GRAU: Generic Reconfigurable Activation Unit Design for Neural Network Hardware Accelerators
Yuhao Liu, Salim Ullah, Akash Kumar
With the continuous growth of neural network scales, low-precision quantization is widely used in edge accelerators. Classic multi-threshold activation hardware requires 2^n thresh…
cs.AR2025
Retrospective: A CORDIC Based Configurable Activation Function for NN Applications
Omkar Kokane, Gopal Raut, Salim Ullah +4
A CORDIC-based configuration for the design of Activation Functions (AF) was previously suggested to accelerate ASIC hardware design for resource-constrained systems by providing f…