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)

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)

Circuit Decompositions and Scheduling for Neutral Atom Devices with Limited Local Addressability. - Natalia Nottingham; Michael A. Perlin; Dhirpal Shah; Ryan White; Hannes Bernien; Frederic T. Chong; Jonathan M. Baker (QCE, 2024)