Chung-Mou Pan

NeuSym-HLS: Efficient Hardware Acceleration of Deep Neural Networks With Symbolic Distillation and High-Level Synthesis

The domain-specific hardware accelerators for deep neural network (DNN) inference have been widely adopted, particularly in resource-constrained edge computing scenarios but face a fundamental tradeoff among accuracy, on-chip resource utilization, and inference latency. Traditional compression techniques, such as pruni...