Publications

Hao Wu, Qidong Zhao, Songqing Chen, Yang Chen, Yueming Hao, Tony CW Liu, Sijia Chen, Adnan Aziz, Keren Zhou (2026). Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context. In ASPLOS 2026.

Keren Zhou, Tianle Zhong, Hao Wu, Jihyeong Lee, Yue Guan, Yufei Ding, Corbin Robeck, Yuanwei Fang, Jeff Niu, Philippe Tillet (2026). Proton: Towards Multi-level, Adaptive Profiling for Triton. In CGO 2026.

Hao Wu, Qidong Zhao, Songqing Chen, Yang Chen, Yueming Hao, Tony CW Liu, Sijia Chen, Adnan Aziz, Jialiang Gu, Thai-hoa Nguyen, Keren Zhou (2025). Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context. In Triton Conference 2025.

Bowen Cui, Tejas Ramesh, Oscar Hernandez, Keren Zhou (2025). Comprehensive Evaluation of LLMs in HPC Code Performance Optimization. In AI4Dev 2025.

Qidong Zhao, Hao Wu, Yuming Hao, Zilingfeng Ye, Jiajia Li, Xu Liu, Keren Zhou (2025). DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads. In ASPLOS 2025.

Tejas Ramesh, Alexander Rush, Xu Liu, Binqian Yin, Keren Zhou, Shuyin Jiao (2025). Triton-Viz: Visualizing GPU Programming in AI Courses. In SIGCSE 2025.

Kimia Saedi, Aditya Desai, Apoorv Walia, Jihyeong Lee, Keren Zhou, Anshumali Shrivastava (2024). SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform. In NeurIPS 2024.

Junyu Yin, Lingda Li, Hai Van Duong, Keren Zhou (2024). Deep Learning-based GPU Simulation for Agile Architecture-Algorithm Co-design. In MLSH 2024.

Qidong Zhao, Hao Wu, Keren Zhou (2024). Torch-Monitor: A Comprehensive Call Path Profiling Tool for PyTorch. In PyTorch Conference 2024.