Keren Zhou - RankMe

43 papers A* 5A 9B 2Journal 14Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using F_2. ASPLOS (1) 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	A	`conf`	PASTA: A Modular Program Analysis Tool Framework for Accelerators. CGO Mao Lin, Hyeran Jeon, Keren Zhou
2026	J	`jnl`	PASTA: A Modular Program Analysis Tool Framework for Accelerators. CoRR Mao Lin, Hyeran Jeon, Keren Zhou
2026	A	`conf`	Proton: Towards Multi-level, Adaptive Profiling for Triton. CGO Keren Zhou, Tianle Zhong, Hao Wu, Jihyeong Lee, Yue Guan, Yufei Ding, Corbin Robeck, Yuanwei Fang, Jeff Niu, Philippe Tillet
2026	—	`conf`	Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context. ASPLOS (2) Hao Wu, Qidong Zhao, Songqing Chen, Yang Chen, Yueming Hao, Tony C. W. Liu, Sijia Chen, Adnan Aziz, Keren Zhou
2025	—	`conf`	Comprehensive Evaluation of LLMs in HPC Code Performance Optimization. ICPP Workshops Bowen Cui, Tejas Ramesh, Oscar R. Hernandez, Keren Zhou
2025	—	`conf`	DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads. ASPLOS (3) Qidong Zhao, Hao Wu, Yueming Hao, Zilingfeng Ye, Jiajia Li, Xu Liu, Keren Zhou
2025	J	`jnl`	Do Large Language Models Understand Performance Optimization? CoRR Bowen Cui, Tejas Ramesh, Oscar R. Hernandez, Keren Zhou
2025	A*	`conf`	KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. OSDI Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz
2025	J	`jnl`	KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. CoRR Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz
2025	J	`jnl`	Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using 𝔽 CoRR Keren Zhou, Mario Lezcano, Adam Goucher, Akhmed Rakhmati, Jeff Niu, Justin Lebar, Pawel Szczerbuk, Peter Bell, Phil Tillet, Thomas Raoux, Zahi Moudallal
2025	A*	`conf`	Mercury: Unlocking Multi-GPU Operator Optimization for LLMs via Remote Memory Scheduling. SOSP Yue Guan, Xinwei Qiang, Zaifeng Pan, Daniels Johnson, Yuanwei Fang, Keren Zhou, Yuke Wang, Wanlu Li, Yufei Ding, Adnan Aziz
2025	—	`conf`	Triton-Viz: Visualizing GPU Programming in AI Courses. SIGCSE (1) Tejas Ramesh, Alexander M. Rush, Xu Liu, Binqian Yin, Keren Zhou, Shuyin Jiao
2024	—	`conf`	Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor. USENIX ATC Zhen Xie, Murali Emani, Xiaodong Yu, Dingwen Tao, Xin He, Pengfei Su, Keren Zhou, Venkatram Vishwanath
2024	J	`jnl`	DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads. CoRR Qidong Zhao, Hao Wu, Yuming Hao, Zilingfeng Ye, Jiajia Li, Xu Liu, Keren Zhou
2024	A	`conf`	FASTEN: Fast GPU-accelerated Segmented Matrix Multiplication for Heterogenous Graph Neural Networks. ICS Keren Zhou, Karthik Ganapathi Subramanian, Po-Hsun Lin, Matthias Fey, Binqian Yin, Jiajia Li
2024	—	`conf`	PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. ASPLOS (2) 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	A*	`conf`	SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform. NeurIPS Aditya Desai, Kimia Saedi, Apoorv Walia, Jihyeong Lee, Keren Zhou, Anshumali Shrivastava
2023	—	`conf`	DrGPUM: Guiding Memory Optimization for GPU-Accelerated Applications. ASPLOS (3) Mao Lin, Keren Zhou, Pengfei Su
2023	A*	`conf`	Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing. ICML Aditya Desai, Keren Zhou, Anshumali Shrivastava
2022	J	`jnl`	Accelerating high-order stencils on GPUs. Concurr. Comput. Pract. Exp. Ryuichi Sai, John M. Mellor-Crummey, Xiaozhu Meng, Keren Zhou, Mauricio Araya-Polo, Jie Meng
2022	J	`jnl`	An Automated Tool for Analysis and Tuning of GPU-Accelerated Code in HPC Applications. IEEE Trans. Parallel Distributed Syst. Keren Zhou, Xiaozhu Meng, Ryuichi Sai, Dejan Grubisic, John M. Mellor-Crummey
2022	J	`jnl`	Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing. CoRR Aditya Desai, Keren Zhou, Anshumali Shrivastava
2022	A	`conf`	Low overhead and context sensitive profiling of CPU-accelerated applications. ICS Keren Zhou, Jonathon M. Anderson, Xiaozhu Meng, John M. Mellor-Crummey
2022	J	`jnl`	Paw-Net: Stacking ensemble deep learning for segmenting scanning electron microscopy images of fine-grained shale samples. Comput. Geosci. Binqian Yin, Qinhong Hu, Yingying Zhu, Chen Zhao, Keren Zhou
2022	A*	`conf`	ValueExpert: exploring value patterns in GPU-accelerated applications. ASPLOS Keren Zhou, Yueming Hao, John M. Mellor-Crummey, Xiaozhu Meng, Xu Liu
2021	A	`conf`	GPA: A GPU Performance Advisor Based on Instruction Sampling. CGO Keren Zhou, Xiaozhu Meng, Ryuichi Sai, John M. Mellor-Crummey
2021	—	`conf`	Measurement and Analysis of GPU-Accelerated OpenCL Computations on Intel GPUs. ProTools@SC Aaron Cherian, Keren Zhou, Dejan Grubisic, Xiaozhu Meng, John M. Mellor-Crummey
2021	J	`jnl`	Measurement and Analysis of GPU-accelerated Applications with HPCToolkit. CoRR Keren Zhou, Laksono Adhianto, Jonathon M. Anderson, Aaron Cherian, Dejan Grubisic, Mark Krentel, Yumeng Liu, Xiaozhu Meng, John M. Mellor-Crummey
2021	J	`jnl`	Measurement and analysis of GPU-accelerated applications with HPCToolkit. Parallel Comput. Keren Zhou, Laksono Adhianto, Jonathon M. Anderson, Aaron Cherian, Dejan Grubisic, Mark Krentel, Yumeng Liu, Xiaozhu Meng, John M. Mellor-Crummey
2021	—	`conf`	Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I). IWOMP Barbara M. Chapman, Buu Pham, Charlene Yang, Christopher S. Daley, Colleen Bertoni, Dhruva Kulkarni, Dossay Oryspayev, Ed D'Azevedo, Johannes Doerfert, Keren Zhou, Kiran Ravikumar, Mark Gordon, Mauro Del Ben, Meifeng Lin, Melisa Alkan, Michael Kruse, Oscar R. Hernandez, P. K. Yeung, Paul Lin, Peng Xu, Swaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William P. Huhn, Yun (Helen) He
2021	—	`conf`	Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II). IWOMP Barbara M. Chapman, Buu Pham, Charlene Yang, Christopher S. Daley, Colleen Bertoni, Dhruva Kulkarni, Dossay Oryspayev, Ed D'Azevedo, Johannes Doerfert, Keren Zhou, Kiran Ravikumar, Mark Gordon, Mauro Del Ben, Meifeng Lin, Melisa Alkan, Michael Kruse, Oscar R. Hernandez, P. K. Yeung, Paul Lin, Peng Xu, Swaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William P. Huhn, Yun (Helen) He
2020	B	`conf`	A tool for top-down performance analysis of GPU-accelerated applications. PPoPP Keren Zhou, Mark Krentel, John M. Mellor-Crummey
2020	J	`jnl`	GPA: A GPU Performance Advisor Based on Instruction Sampling. CoRR Keren Zhou, Xiaozhu Meng, Ryuichi Sai, John M. Mellor-Crummey
2020	A	`conf`	GVProf: a value profiler for GPU-based clusters. SC Keren Zhou, Yueming Hao, John M. Mellor-Crummey, Xiaozhu Meng, Xu Liu
2020	A	`conf`	Tools for top-down performance analysis of GPU-accelerated applications. ICS Keren Zhou, Mark W. Krentel, John M. Mellor-Crummey
2019	A	`conf`	A Tool for Performance Analysis of GPU-Accelerated Applications. CGO Keren Zhou, John M. Mellor-Crummey
2018	J	`jnl`	Quadboost: A Scalable Concurrent Quadtree. IEEE Trans. Parallel Distributed Syst. Keren Zhou, Guangming Tan, Wei Zhou
2017	A	`conf`	A performance analysis framework for exploiting GPU microarchitectural capability. ICS Keren Zhou, Guangming Tan, Xiuxia Zhang, Chaowei Wang, Ninghui Sun
2017	B	`conf`	Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning. PPoPP Xiuxia Zhang, Guangming Tan, Shuangbai Xue, Jiajia Li, Keren Zhou, Mingyu Chen
2016	J	`jnl`	Quadboost: A Scalable Concurrent Quadtree. CoRR Keren Zhou, Guangming Tan, Wei Zhou
2015	—	`conf`	BF-MapReduce: A Bloom Filter Based Efficient Lightweight Search. CIC Zi-long Tan, Keren Zhou, Hao Zhang, Wei Zhou
2015	—	`conf`	Multi-Classes Feature Engineering with Sliding Window for Purchase Prediction in Mobile Commerce. ICDM Workshops Qiang Li, Maojie Gu, Keren Zhou, Xiaoming Sun