Publications | Keren Zhou

Low Overhead and Context Sensitive Profiling of GPU-Accelerated Applications
Keren Zhou, Jonathon Anderson, Xiaozhu Meng, John Mellor-Crummey
Proceedings of the 36th ACM International Conference on Supercomputing (ICS’22).

Project Source Document

ValueExpert: exploring value patterns in GPU-accelerated applications
Keren Zhou*, Yueming Hao*, John Mellor-Crummey, Xiaozhu Meng, Xu Liu
Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS’22).

Project Source Document

Measurement and analysis of GPU-accelerated applications with HPCToolkit
Keren Zhou, Laksono Adhianto, Jonathon Anderson, Aaron Cherian, Dejan Grubisic, Mark Krentel, Yumeng Liu, Xiaozhu Meng, John Mellor-Crummey
Parallel Computing (PARCO’21).

Project Source Document

Measurement and Analysis of GPU-Accelerated OpenCL Computations on Intel GPUs
Aaron Thomas Cherian, Keren Zhou, Dejan Grubisic, Xiaozhu Meng, John Mellor-Crummey
2021 IEEE/ACM International Workshop on Programming and Performance Visualization Tools (ProTools’21).

Project Source Document

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model
Barbara Chapman, Buu Pham, Charlene Yang, Christopher 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 Hernandez, P. K. Yeung, Paul Lin, Peng Xu, Swaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William Huhn, Yun (Helen) He
International Workshop on OpenMP (IWOMP’21).

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Accelerating High-Order Stencils on GPUs
Ryuichi Sai, John Mellor-Crummey, Xiaozhu Meng, Keren Zhou, Mauricio Araya-Polo, Jie Meng
Concurrency and Computation: Practice and Experience (CCPE’21).

Project Source Document

An Automated Tool for Analysis and Tuning of GPU-accelerated Code in HPC Applications
Keren Zhou, Xiaozhu Meng, Ryuichi Sai, Dejan Grubisic, John Mellor-Crummey
IEEE Transactions on Parallel and Distributed Systems (TPDS’21).

Project Source Document

GPA: A GPU Performance Advisor Based on Instruction Sampling
Keren Zhou, Xiaozhu Meng, Ryuichi Sai, John Mellor-Crummey
IEEE/ACM International Symposium on Code Generation and Optimization (CGO’21).

Project Source Document

GVProf: A Value Profiler for GPU-Based Clusters
Keren Zhou, Yueming Hao, John Mellor-Crummey, Xiaozhu Meng, Xu Liu
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC’20).

Project Source Document

Tools for Top-down Performance Analysis of GPU-Accelerated Applications
Keren Zhou, Mark W. Krentel, John Mellor-Crummey
Proceedings of the 34th ACM International Conference on Supercomputing (ICS’20).

Project Source Document

A tool for top-down performance analysis of GPU-accelerated applications
Keren Zhou, Mark Krentel, John Mellor-Crummey
Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP’20).

Project Source Document

A tool for performance analysis of GPU-accelerated applications
Keren Zhou, John Mellor-Crummey
Proceedings of the 2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO’19).

Project Source Document

Quadboost: A Scalable Concurrent Quadtree
Keren Zhou, Guangming Tan, Wei Zhou
IEEE Transactions on Parallel and Distributed Systems (TPDS’18).

Source Document

Understanding the GPU microarchitecture to achieve bare-metal performance tuning
Xiuxia Zhang, Guangming Tan, Shuangbai Xue, Jiajia Li, Keren Zhou, Mingyu Chen
ACM SIGPLAN Notices (PPoPP’17).

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A performance analysis framework for exploiting GPU microarchitectural capability
Keren Zhou, Guangming Tan, Xiuxia Zhang, Chaowei Wang, Ninghui Sun
Proceedings of the International Conference on Supercomputing (ICS’17).

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Multi-Classes Feature Engineering with Sliding Window for Purchase Prediction in Mobile Commerce
Qiang Li, Maojie Gu, Keren Zhou, Xiaoming Sun
2015 IEEE International Conference on Data Mining Workshop (ICDMW’15).

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BF-MapReduce: A Bloom Filter Based Efficient Lightweight Search
Zilong Tan, Keren Zhou, Hao Zhang, Wei Zhou
2015 IEEE Conference on Collaboration and Internet Computing (CIC’15).

Source Document