Mirovia: A Benchmarking Suite for Modern Heterogeneous Computing. - Bodun Hu; Christopher J. Rossbach (CoRR, 2019)

Altis: Modernizing GPGPU Benchmarks. - Bodun Hu; Christopher J. Rossbach (ISPASS, 2020)

Towards a Machine Learning-Assisted Kernel with LAKE. - Henrique Fingler; Isha Tarte; Hangchen Yu; Ariel Szekely; Bodun Hu; Aditya Akella; Christopher J. Rossbach (ASPLOS (2), 2023)

MOSEL: Inference Serving Using Dynamic Modality Selection. - Bodun Hu; Le Xu; Jeongyoon Moon; Neeraja J. Yadwadkar; Aditya Akella (EMNLP, 2024)

FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. - Ajay Jaiswal; Bodun Hu; Lu Yin 006; Yeonju Ro; Tianlong Chen 001; Shiwei Liu 003; Aditya Akella (EMNLP, 2024)

StitchLLM: Serving LLMs, One Block at a Time. - Bodun Hu; Shuozhe Li; Saurabh Agarwal; Myungjin Lee; Akshay Jajoo; Jiamin Li 002; Le Xu; Geon-Woo Kim; Donghyun Kim 002; Hong Xu 001; Amy Zhang 001; Aditya Akella (ACL (1), 2025)

Patchwork: A Unified Framework for RAG Serving. - Bodun Hu; Luis Pabon; Saurabh Agarwal; Aditya Akella (CoRR, 2025)

ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models. - Liyan Tang; Grace Kim; Xinyu Zhao; Thom Lake; Wenxuan Ding 003; Fangcong Yin; Prasann Singhal; Manya Wadhwa; Zeyu Leo Liu; Zayne Sprague; Ramya Namuduri; Bodun Hu; et al. (CoRR, 2025)