Keren Zhou

According to our database, Keren Zhou authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

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

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

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

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing.

Aditya Desai, Keren Zhou, Anshumali Shrivastava

Proceedings of the International Conference on Machine Learning, 2023

DrGPUM: Guiding Memory Optimization for GPU-Accelerated Applications.

Mao Lin, Keren Zhou, Pengfei Su

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

An Automated Tool for Analysis and Tuning of GPU-Accelerated Code in HPC Applications.

Keren Zhou, Xiaozhu Meng, Ryuichi Sai, Dejan Grubisic, John M. Mellor-Crummey

IEEE Trans. Parallel Distributed Syst., 2022

Paw-Net: Stacking ensemble deep learning for segmenting scanning electron microscopy images of fine-grained shale samples.

Binqian Yin, Qinhong Hu, Yingying Zhu, Chen Zhao, Keren Zhou

Comput. Geosci., 2022

Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing.

Aditya Desai, Keren Zhou, Anshumali Shrivastava

CoRR, 2022

Accelerating high-order stencils on GPUs.

Ryuichi Sai, John M. Mellor-Crummey, Xiaozhu Meng, Keren Zhou, Mauricio Araya-Polo, Jie Meng

Concurr. Comput. Pract. Exp., 2022

Low overhead and context sensitive profiling of CPU-accelerated applications.

Keren Zhou, Jonathon M. Anderson, Xiaozhu Meng, John M. Mellor-Crummey

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

ValueExpert: exploring value patterns in GPU-accelerated applications.

Keren Zhou, Yueming Hao, John M. Mellor-Crummey, Xiaozhu Meng, Xu Liu

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

Measurement and analysis of GPU-accelerated applications with HPCToolkit.

Keren Zhou, Laksono Adhianto, Jonathon M. Anderson, Aaron Cherian, Dejan Grubisic, Mark Krentel, Yumeng Liu, Xiaozhu Meng, John M. Mellor-Crummey

Parallel Comput., 2021

Measurement and Analysis of GPU-Accelerated OpenCL Computations on Intel GPUs.

Aaron Cherian, Keren Zhou, Dejan Grubisic, Xiaozhu Meng, John M. Mellor-Crummey

Proceedings of the IEEE/ACM International Workshop on Programming and Performance Visualization Tools, 2021

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II).

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

Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 2021

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I).

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

Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 2021

GPA: A GPU Performance Advisor Based on Instruction Sampling.

Keren Zhou, Xiaozhu Meng, Ryuichi Sai, John M. Mellor-Crummey

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020

GVProf: a value profiler for GPU-based clusters.

Keren Zhou, Yueming Hao, John M. Mellor-Crummey, Xiaozhu Meng, Xu Liu

Proceedings of the International Conference for High Performance Computing, 2020

A tool for top-down performance analysis of GPU-accelerated applications.

Keren Zhou, Mark Krentel, John M. Mellor-Crummey

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

Tools for top-down performance analysis of GPU-accelerated applications.

Keren Zhou, Mark W. Krentel, John M. Mellor-Crummey

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

2019

A Tool for Performance Analysis of GPU-Accelerated Applications.

Keren Zhou, John M. Mellor-Crummey

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2019

2018

Quadboost: A Scalable Concurrent Quadtree.

Keren Zhou, Guangming Tan, Wei Zhou

IEEE Trans. Parallel Distributed Syst., 2018

2017

Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning.

Xiuxia Zhang, Guangming Tan, Shuangbai Xue, Jiajia Li, Keren Zhou, Mingyu Chen

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

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, 2017

2015

Multi-Classes Feature Engineering with Sliding Window for Purchase Prediction in Mobile Commerce.

Qiang Li, Maojie Gu, Keren Zhou, Xiaoming Sun

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

BF-MapReduce: A Bloom Filter Based Efficient Lightweight Search.

Zi-long Tan, Keren Zhou, Hao Zhang, Wei Zhou

Proceedings of the IEEE Conference on Collaboration and Internet Computing, 2015