Conware: Automated Modeling of Hardware Peripherals. - Chad Spensky; Aravind Machiry; Nilo Redini; Colin Unger; Graham Foster; Evan Blasband; Hamed Okhravi; Christopher Kruegel; Giovanni Vigna (AsiaCCS, 2021)

Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization. - Colin Unger; Zhihao Jia; Wei Wu 016; Sina Lin; Mandeep Baines; Carlos Efrain Quintero Narvaez; Vinay Ramakrishnaiah; Nirmal Prajapati; Patrick S. McCormick; Jamaludin Mohd-Yusof; Xi Luo; Dheevatsa Mudigere; et al. (OSDI, 2022)

FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning. - Xupeng Miao; Gabriele Oliaro; Xinhao Cheng; Mengdi Wu; Colin Unger; Zhihao Jia (CoRR, 2024)

GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. - Byungsoo Jeon; Mengdi Wu; Shiyi Cao; Sunghyun Kim; Sunghyun Park 004; Neeraj Aggarwal; Colin Unger; Daiyaan Arfeen; Peiyuan Liao; Xupeng Miao; Mohammad Alizadeh; Gregory R. Ganger; et al. (ASPLOS (1), 2025)