2 papers
cs.AR2026
RedFuser: An Automatic Operator Fusion Framework for Cascaded Reductions on AI Accelerators
Xinsheng Tang, Yangcheng Li, Nan Wang +5
Operator fusion, as a key performance optimization technique in the deployment of AI models, significantly improves execution efficiency and has been widely adopted in modern AI co…
cs.AR2023
Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators
Xueying Wu, Edward Hanson, Nansu Wang +9
Resistive random access memory (ReRAM)-based processing-in-memory (PIM) architectures have demonstrated great potential to accelerate Deep Neural Network (DNN) training/inference.…