Keren Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
11
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using F_2. | Keren Zhou, Mario Lezcano Casado, Adam P. Goucher, Akhmed Rakhmati, Jeff Niu, Justin Lebar, Pawel Szczerbuk, Peter Bell, Phil Tillet, Thomas Raoux, Zahi Moudallal |
| 2026 | ASPLOS | Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context. | Hao Wu, Qidong Zhao, Songqing Chen, Yang Chen, Yueming Hao, Tony C. W. Liu, Sijia Chen, Adnan Aziz, Keren Zhou |
| 2026 | CGO | PASTA: A Modular Program Analysis Tool Framework for Accelerators. | Mao Lin, Hyeran Jeon, Keren Zhou |
| 2026 | CGO | Proton: Towards Multi-level, Adaptive Profiling for Triton. | Keren Zhou, Tianle Zhong, Hao Wu, Jihyeong Lee, Yue Guan, Yufei Ding, Corbin Robeck, Yuanwei Fang, Jeff Niu, Philippe Tillet |
| 2026 | ICS | TenProf: A Tensor-Centric Profiler for Deep Learning Workload Analysis and Optimization. | Xingjian Ding, Keren Zhou, Yueming Hao, Pengfei Su |
| 2025 | ASPLOS | DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads. | Qidong Zhao, Hao Wu, Yueming Hao, Zilingfeng Ye, Jiajia Li, Xu Liu, Keren Zhou |
| 2025 | OSDI | KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. | Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz |
| 2025 | SIGCSE | Triton-Viz: Visualizing GPU Programming in AI Courses. | Tejas Ramesh, Alexander M. Rush, Xu Liu, Binqian Yin, Keren Zhou, Shuyin Jiao |
| 2025 | SOSP | Mercury: Unlocking Multi-GPU Operator Optimization for LLMs via Remote Memory Scheduling. | Yue Guan, Xinwei Qiang, Zaifeng Pan, Daniels Johnson, Yuanwei Fang, Keren Zhou, Yuke Wang, Wanlu Li, Yufei Ding, Adnan Aziz |
| 2024 | ASPLOS | PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. | Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala |
| 2024 | ICS | FASTEN: Fast GPU-accelerated Segmented Matrix Multiplication for Heterogenous Graph Neural Networks. | Keren Zhou, Karthik Ganapathi Subramanian, Po-Hsun Lin, Matthias Fey, Binqian Yin, Jiajia Li |
| 2024 | USENIX | Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor. | Zhen Xie, Murali Emani, Xiaodong Yu, Dingwen Tao, Xin He, Pengfei Su, Keren Zhou, Venkatram Vishwanath |
| 2023 | ASPLOS | DrGPUM: Guiding Memory Optimization for GPU-Accelerated Applications. | Mao Lin, Keren Zhou, Pengfei Su |
| 2023 | ICML | Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing. | Aditya Desai, Keren Zhou, Anshumali Shrivastava |
| 2022 | ASPLOS | ValueExpert: exploring value patterns in GPU-accelerated applications. | Keren Zhou, Yueming Hao, John M. Mellor-Crummey, Xiaozhu Meng, Xu Liu |
| 2022 | ICS | Low overhead and context sensitive profiling of CPU-accelerated applications. | Keren Zhou, Jonathon M. Anderson, Xiaozhu Meng, John M. Mellor-Crummey |
| 2021 | CGO | GPA: A GPU Performance Advisor Based on Instruction Sampling. | Keren Zhou, Xiaozhu Meng, Ryuichi Sai, John M. Mellor-Crummey |
| 2021 | SC | Measurement and Analysis of GPU-Accelerated OpenCL Computations on Intel GPUs. | Aaron Cherian, Keren Zhou, Dejan Grubisic, Xiaozhu Meng, John M. Mellor-Crummey |
| 2020 | ICS | Tools for top-down performance analysis of GPU-accelerated applications. | Keren Zhou, Mark W. Krentel, John M. Mellor-Crummey |
| 2020 | PPoPP | A tool for top-down performance analysis of GPU-accelerated applications. | Keren Zhou, Mark Krentel, John M. Mellor-Crummey |
| 2020 | SC | GVProf: a value profiler for GPU-based clusters. | Keren Zhou, Yueming Hao, John M. Mellor-Crummey, Xiaozhu Meng, Xu Liu |
| 2019 | CGO | A Tool for Performance Analysis of GPU-Accelerated Applications. | Keren Zhou, John M. Mellor-Crummey |
| 2017 | ICS | A performance analysis framework for exploiting GPU microarchitectural capability. | Keren Zhou, Guangming Tan, Xiuxia Zhang, Chaowei Wang, Ninghui Sun |
| 2017 | PPoPP | Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning. | Xiuxia Zhang, Guangming Tan, Shuangbai Xue, Jiajia Li, Keren Zhou, Mingyu Chen |
| 2015 | ICDM | Multi-Classes Feature Engineering with Sliding Window for Purchase Prediction in Mobile Commerce. | Qiang Li, Maojie Gu, Keren Zhou, Xiaoming Sun |