Xiaodong Yu

According to our database, Xiaodong Yu authored at least 39 papers between 2013 and 2024.

Collaborative distances:

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

2024

A Survey on Error-Bounded Lossy Compression for Scientific Datasets.

Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello

CoRR, 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

POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

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

CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2.

Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

A Portable, Fast, DCT-based Compressor for AI Accelerators.

Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

2023

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

CoRR, 2023

C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

CoRR, 2023

cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance.

Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello

Proceedings of the International Conference for High Performance Computing, 2023

Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.

Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations.

Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs.

Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello

Proceedings of the 37th International Conference on Supercomputing, 2023

Lightweight Huffman Coding for Efficient GPU Compression.

Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello

Proceedings of the 37th International Conference on Supercomputing, 2023

HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs.

Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao

Proceedings of the 37th International Conference on Supercomputing, 2023

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.

Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022

SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates.

Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao

CoRR, 2022

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets.

Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello

CoRR, 2022

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs.

Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Ultrafast Error-bounded Lossy Compression for Scientific Datasets.

Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

2021

Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data.

Xiaodong Yu, Viktor V. Nikitin, Daniel J. Ching, Selin S. Aslan, Doga Gürsoy, Tekin Bicer

CoRR, 2021

cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.

Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello

CoRR, 2021

High-Performance Ptychographic Reconstruction with Federated Facilities.

Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Topology-aware optimizations for multi-GPU ptychographic image reconstruction.

Xiaodong Yu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions.

Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.

Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting.

Xiaodong Yu, Fengguo Wei, Xinming Ou, Michela Becchi, Tekin Bicer, Danfeng Daphne Yao

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

GPU-Based Iterative Medical CT Image Reconstructions.

Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao

J. Signal Process. Syst., 2019

Comparative Measurement of Cache Configurations' Impacts on Cache Timing Side-Channel Attacks.

Xiaodong Yu, Ya Xiao, Kirk W. Cameron, Danfeng (Daphne) Yao

Proceedings of the 12th USENIX Workshop on Cyber Security Experimentation and Test, 2019

2018

Novel meshes for multivariate interpolation and approximation.

Thomas C. H. Lux, Layne T. Watson, Tyler H. Chang, Jon Bernard, Bo Li, Xiaodong Yu, Li Xu, Godmar Back, Ali Raza Butt, Kirk W. Cameron, Danfeng Yao, Yili Hong

Proceedings of the ACMSE 2018 Conference, Richmond, KY, USA, March 29-31, 2018, 2018

2017

A framework for fast and fair evaluation of automata processing hardware.

Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng

Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

Demystifying automata processing: GPUs, FPGAs or Micron's AP?

Marziyeh Nourian, Xiang Wang, Xiaodong Yu, Wu-chun Feng, Michela Becchi

Proceedings of the International Conference on Supercomputing, 2017

An Enhanced Image Reconstruction Tool for Computed Tomography on CPUs.

Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao

Proceedings of the Computing Frontiers Conference, 2017

Robotomata: A framework for approximate pattern matching of big data on an automata processor.

Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

cuART: Fine-Grained Algebraic Reconstruction Technique for Computed Tomography Images on GPUs.

Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

O3FA: A Scalable Finite Automata-based Pattern-Matching Engine for Out-of-Order Deep Packet Inspection.

Xiaodong Yu, Wu-chun Feng, Danfeng (Daphne) Yao, Michela Becchi

Proceedings of the 2016 Symposium on Architectures for Networking and Communications Systems, 2016

2014

Revisiting State Blow-Up: Automatically Building Augmented-FA While Preserving Functional Equivalence.

Xiaodong Yu, Bill Lin, Michela Becchi

IEEE J. Sel. Areas Commun., 2014

2013

Exploring different automata representations for efficient regular expression matching on GPUs.

Xiaodong Yu, Michela Becchi

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2013

GPU acceleration of regular expression matching for large datasets: exploring the implementation space.

Xiaodong Yu, Michela Becchi

Proceedings of the Computing Frontiers Conference, 2013