Tigr: Transforming Irregular Graphs for GPU-Friendly Graph Processing. - Amir Hossein Nodehi Sabet; Junqiao Qiu; Zhijia Zhao 001 (ASPLOS, 2018)

Subway: minimizing data transfer during out-of-GPU-memory graph processing. - Amir Hossein Nodehi Sabet; Zhijia Zhao 001; Rajiv Gupta 001 (EuroSys, 2020)

Reliability Analysis for Unreliable FSM Computations. - Amir Hossein Nodehi Sabet; Junqiao Qiu; Zhijia Zhao 001; Sriram Krishnamoorthy (ACM Trans. Archit. Code Optim., 2020)

Scalable FSM parallelization via path fusion and higher-order speculation. - Junqiao Qiu; Xiaofan Sun; Amir Hossein Nodehi Sabet; Zhijia Zhao 001 (ASPLOS, 2021)

CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning. - Abhinav Jangda; Jun Huang; Guodong Liu; Amir Hossein Nodehi Sabet; Saeed Maleki; Youshan Miao; Madanlal Musuvathi; Todd Mytkowicz; Olli Saarikivi (CoRR, 2021)

Efficient Processing of Large Irregular Graphs on GPUs and Multicores - Amir Hossein Nodehi Sabet (2021)

Breaking the computation and communication abstraction barrier in distributed machine learning workloads. - Abhinav Jangda; Jun Huang; Guodong Liu; Amir Hossein Nodehi Sabet; Saeed Maleki; Youshan Miao; Madanlal Musuvathi; Todd Mytkowicz; Olli Saarikivi (ASPLOS, 2022)

GraCFL: A Holistically Designed Vertex-Centric Graph System for CFL Reachability. - Sakib Fuad; Amir Hossein Nodehi Sabet; Umar Farooq 002; Zhijia Zhao 001 (ICS, 2025)