SIMD Dataflow Co-optimization for Efficient Neural Networks Inferences on CPUs. - Cyrus Zhou; Zack Hassman; Ruize Xu; Dhirpal Shah; Vaughn Richard; Yanjing Li (CoRR, 2023)

SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks. - Cyrus Zhou; Vaughn Richard; Pedro Savarese; Zachary Hassman; Michael Maire; Michael DiBrino; Yanjing Li (CoRR, 2023)

YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs. - Cyrus Zhou; Zack Hassman; Dhirpal Shah; Vaughn Richard; Yanjing Li (CC, 2024)