GPU acceleration of regular expression matching for large datasets: exploring the implementation space. - Xiaodong Yu 001; Michela Becchi (Conf. Computing Frontiers, 2013)

Exploring different automata representations for efficient regular expression matching on GPUs. - Xiaodong Yu 001; Michela Becchi (PPoPP, 2013)

Revisiting State Blow-Up: Automatically Building Augmented-FA While Preserving Functional Equivalence. - Xiaodong Yu 001; Bill Lin 001; Michela Becchi (IEEE J. Sel. Areas Commun., 2014)

O3FA: A Scalable Finite Automata-based Pattern-Matching Engine for Out-of-Order Deep Packet Inspection. - Xiaodong Yu 001; Wu-chun Feng; Danfeng (Daphne) Yao; Michela Becchi (ANCS, 2016)

cuART: Fine-Grained Algebraic Reconstruction Technique for Computed Tomography Images on GPUs. - Xiaodong Yu 001; Hao Wang 002; Wu-chun Feng; Hao Gong 001; Guohua Cao (CCGrid, 2016)

Robotomata: A framework for approximate pattern matching of big data on an automata processor. - Xiaodong Yu 001; Kaixi Hou; Hao Wang 002; Wu-chun Feng (IEEE BigData, 2017)

An Enhanced Image Reconstruction Tool for Computed Tomography on CPUs. - Xiaodong Yu 001; Hao Wang 002; Wu-chun Feng; Hao Gong 001; Guohua Cao (Conf. Computing Frontiers, 2017)

Demystifying automata processing: GPUs, FPGAs or Micron's AP? - Marziyeh Nourian; Xiang Wang; Xiaodong Yu 001; Wu-chun Feng; Michela Becchi (ICS, 2017)

A framework for fast and fair evaluation of automata processing hardware. - Xiaodong Yu 001; Kaixi Hou; Hao Wang 002; Wu-chun Feng (IISWC, 2017)

Novel meshes for multivariate interpolation and approximation. - Thomas C. H. Lux; Layne T. Watson; Tyler H. Chang; Jon Bernard; Bo Li 032; Xiaodong Yu 001; Li Xu; Godmar Back; Ali Raza Butt; Kirk W. Cameron; Danfeng Yao; Yili Hong 001 (ACM Southeast Regional Conference, 2018)

Comparative Measurement of Cache Configurations' Impacts on Cache Timing Side-Channel Attacks. - Xiaodong Yu 001; Ya Xiao 002; Kirk W. Cameron; Danfeng (Daphne) Yao (CSET @ USENIX Security Symposium, 2019)

GPU-Based Iterative Medical CT Image Reconstructions. - Xiaodong Yu 001; Hao Wang 002; Wu-chun Feng; Hao Gong 001; Guohua Cao (J. Signal Process. Syst., 2019)

GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting. - Xiaodong Yu 001; Fengguo Wei; Xinming Ou; Michela Becchi; Tekin Bicer; Danfeng Daphne Yao (IPDPS, 2020)

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (CLUSTER, 2021)

cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. - Xiaodong Yu 001; Sheng Di; Ali Murat Gok; Dingwen Tao; Franck Cappello (CLUSTER, 2021)

Topology-aware optimizations for multi-GPU ptychographic image reconstruction. - Xiaodong Yu 001; Tekin Bicer; Rajkumar Kettimuthu; Ian T. Foster (ICS, 2021)

High-Performance Ptychographic Reconstruction with Federated Facilities. - Tekin Bicer; Xiaodong Yu 001; Daniel J. Ching; Ryan Chard; Mathew J. Cherukara; Bogdan Nicolae; Rajkumar Kettimuthu; Ian T. Foster (SMC, 2021)

cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (CoRR, 2021)

Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data. - Xiaodong Yu 001; Viktor V. Nikitin; Daniel J. Ching; Selin S. Aslan; Doga Gürsoy; Tekin Bicer (CoRR, 2021)

Ultrafast Error-bounded Lossy Compression for Scientific Datasets. - Xiaodong Yu 001; Sheng Di; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (HPDC, 2022)

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. - Cody Rivera; Sheng Di; Jiannan Tian; Xiaodong Yu 001; Dingwen Tao; Franck Cappello (IPDPS, 2022)

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets. - Xiaodong Yu 001; Sheng Di; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (CoRR, 2022)

SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates. - Baixi Sun; Xiaodong Yu 001; Chengming Zhang 006; Jiannan Tian; Sian Jin; Kamil Iskra; Tao Zhou; Tekin Bicer; Pete Beckman; Dingwen Tao (CoRR, 2022)

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. - Boyuan Zhang 002; Jiannan Tian; Sheng Di; Xiaodong Yu 001; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (HPDC, 2023)

HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. - Chengming Zhang 006; Shaden Smith; Baixi Sun; Jiannan Tian; Jonathan Soifer; Xiaodong Yu 001; Shuaiwen Leon Song; Yuxiong He; Dingwen Tao (ICS, 2023)

Lightweight Huffman Coding for Efficient GPU Compression. - Milan Shah; Xiaodong Yu 001; Sheng Di; Michela Becchi; Franck Cappello (ICS, 2023)

GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. - Boyuan Zhang 002; Jiannan Tian; Sheng Di; Xiaodong Yu 001; Martin Swany; Dingwen Tao; Franck Cappello (ICS, 2023)

GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. - Milan Shah; Xiaodong Yu 001; Sheng Di; Danylo Lykov; Yuri Alexeev; Michela Becchi; Franck Cappello (IPDPS, 2023)

Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. - Chengming Zhang 006; Baixi Sun; Xiaodong Yu 001; Zhen Xie; Weijian Zheng; Kamil A. Iskra; Pete Beckman; Dingwen Tao (SC Workshops, 2023)

cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. - Yafan Huang; Sheng Di; Xiaodong Yu 001; Guanpeng Li; Franck Cappello (SC, 2023)

C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; Rajeev Thakur (CoRR, 2023)

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (CoRR, 2023)

A Portable, Fast, DCT-based Compressor for AI Accelerators. - Milan Shah; Xiaodong Yu 001; Sheng Di; Michela Becchi; Franck Cappello (HPDC, 2024)

CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. - Shihui Song; Yafan Huang; Peng Jiang 004; Xiaodong Yu 001; Weijian Zheng; Sheng Di; Qinglei Cao; Yunhe Feng; Zhen Xie; Franck Cappello (HPDC, 2024)

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Xiaoyi Lu; Zizhong Chen; Franck Cappello; et al. (ICS, 2024)

An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Zhaorui Zhang; Jinyang Liu 003; Xiaoyi Lu; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; et al. (IPDPS, 2024)

POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (PPoPP, 2024)

hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Zizhe Jian; Xin Liang 001; Kai Zhao 008; Xiaoyi Lu; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (SC, 2024)

Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor. - Zhen Xie; Murali Emani; Xiaodong Yu 001; Dingwen Tao; Xin He; Pengfei Su 001; Keren Zhou 001; Venkatram Vishwanath (USENIX ATC, 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (CoRR, 2024)

GFormer: Accelerating Large Language Models with Optimized Transformers on Gaudi Processors. - Chengming Zhang 006; Xinheng Ding; Baixi Sun; Xiaodong Yu 001; Weijian Zheng; Zhen Xie; Dingwen Tao (CoRR, 2024)

COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. - Baixi Sun; Weijin Liu; J. Gregory Pauloski; Jiannan Tian; Jinda Jia; Daoce Wang; Boyuan Zhang 002; Mingkai Zheng; Sheng Di; Sian Jin; Zhao Zhang 007; Xiaodong Yu 001; et al. (PPoPP, 2025)

ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Zhaorui Zhang; Jinyang Liu 003; Xiaoyi Lu; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Khalid Ayedh Alharthi; Zizhong Chen; et al. (CoRR, 2025)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (ACM Comput. Surv., 2025)