Xiaodong Yu

59 papers A* 1A 16B 6C 2Journal 20Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs.
CoRR
Ziyu Hu, Zhiqing Zhong, Weijian Zheng, Zhijing Ye, Xuwei Tan, Xueru Zhang, Zheng Xie, Rajkumar Kettimuthu, Xiaodong Yu
2026 — conf
DeepEBC: Compressing the Pre-Trained LLMs with Error-Bounded Lossy Compression.
SCA/HPC Asia Workshops
Jiaqi Xu, Zhaorui Zhang, Gaolin Wei, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu
2025 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
ACM Comput. Surv.
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, Shihui Song, Jon Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
2025 B conf
COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers.
PPoPP
Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Boyuan Zhang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Kamil A. Iskra, Pete Beckman, Guangming Tan, Dingwen Tao
2025 — conf
Compression Error Sensitivity Analysis for Different Experts in MoE Model Inference.
SC Workshops
Songkai Ma, Zhaorui Zhang, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu, Dan Wang
2025 — conf
DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs.
IISWC
Ziyu Hu, Zhiqing Zhong, Weijian Zheng, Zhijing Ye, Xuwei Tan, Xueru Zhang, Zheng Xie, Rajkumar Kettimuthu, Xiaodong Yu
2025 — conf
EvaMAE: How Helpful Are DEM Data in Enhancing Geo-Foundation Models for Earth Imagery?
SIGSPATIAL/GIS
Saugat Adhikari, Da Yan, Naman Nimbale, Weijin Liu, Xiaodong Yu, Akhlaque Ahmad, Lyuheng Yuan, Jiao Han, Zhe Jiang
2025 — conf
Exploring Lossy Compression of Activation Data for Emerging AI Accelerators: A Case Study on the Graphcore IPU.
IISWC
Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2025 B conf
FastREI: Fast Rare Event Identification on X-ray Data with Cross-Stage Optimizations.
IEEE Big Data
Ziyu Hu, Jiamin Wang, Zhiqing Zhong, Weijian Zheng, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Antonino Miceli, Zhaorui Zhang, Rajkumar Kettimuthu, Xiaodong Yu
2025 J jnl
MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model?
CoRR
Songkai Ma, Zhaorui Zhang, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu, Dan Wang
2025 J jnl
ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression.
CoRR
Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Khalid Ayedh Alharthi, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2024 A conf
A Portable, Fast, DCT-based Compressor for AI Accelerators.
HPDC
Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2024 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
CoRR
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
2024 A conf
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression.
IPDPS
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
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 A conf
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2.
HPDC
Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello
2024 A* conf
G
ICDE
Lyuheng Yuan, Akhlaque Ahmad, Da Yan, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou
2024 J jnl
GFormer: Accelerating Large Language Models with Optimized Transformers on Gaudi Processors.
CoRR
Chengming Zhang, Xinheng Ding, Baixi Sun, Xiaodong Yu, Weijian Zheng, Zhen Xie, Dingwen Tao
2024 B conf
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters.
PPoPP
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
2024 A conf
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.
ICS
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
2024 A conf
hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression.
SC
Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Zizhe Jian, Xin Liang, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2023 — conf
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
SC Workshops
Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao
2023 J jnl
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
CoRR
Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil Iskra, Pete Beckman, Dingwen Tao
2023 J jnl
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives.
CoRR
Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2023 A conf
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
HPDC
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2023 J jnl
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
CoRR
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2023 A conf
GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations.
IPDPS
Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello
2023 A conf
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs.
ICS
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello
2023 J jnl
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs.
CoRR
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello
2023 A conf
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs.
ICS
Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao
2023 J jnl
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs.
CoRR
Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao
2023 A conf
Lightweight Huffman Coding for Efficient GPU Compression.
ICS
Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2023 A conf
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance.
SC
Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello
2023 J jnl
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.
CoRR
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
2022 A conf
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs.
IPDPS
Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello
2022 J jnl
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs.
CoRR
Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello
2022 J jnl
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates.
CoRR
Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao
2022 J jnl
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets.
CoRR
Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2022 A conf
Ultrafast Error-bounded Lossy Compression for Scientific Datasets.
HPDC
Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2021 B conf
High-Performance Ptychographic Reconstruction with Federated Facilities.
SMC
Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
2021 J jnl
High-Performance Ptychographic Reconstruction with Federated Facilities.
CoRR
Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
2021 C conf
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CLUSTER
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2021 J jnl
Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data.
CoRR
Xiaodong Yu, Viktor V. Nikitin, Daniel J. Ching, Selin S. Aslan, Doga Gürsoy, Tekin Bicer
2021 A conf
Topology-aware optimizations for multi-GPU ptychographic image reconstruction.
ICS
Xiaodong Yu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
2021 J jnl
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2021 C conf
cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions.
CLUSTER
Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello
2020 A conf
GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting.
IPDPS
Xiaodong Yu, Fengguo Wei, Xinming Ou, Michela Becchi, Tekin Bicer, Danfeng Daphne Yao
2019 — conf
Comparative Measurement of Cache Configurations' Impacts on Cache Timing Side-Channel Attacks.
CSET @ USENIX Security Symposium
Xiaodong Yu, Ya Xiao, Kirk W. Cameron, Danfeng (Daphne) Yao
2019 J jnl
GPU-Based Iterative Medical CT Image Reconstructions.
J. Signal Process. Syst.
Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao
2018 — conf
Novel meshes for multivariate interpolation and approximation.
ACM Southeast Regional Conference
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
2017 — conf
A framework for fast and fair evaluation of automata processing hardware.
IISWC
Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng
2017 — conf
An Enhanced Image Reconstruction Tool for Computed Tomography on CPUs.
Conf. Computing Frontiers
Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao
2017 A conf
Demystifying automata processing: GPUs, FPGAs or Micron's AP?
ICS
Marziyeh Nourian, Xiang Wang, Xiaodong Yu, Wu-chun Feng, Michela Becchi
2017 — conf
Robotomata: A framework for approximate pattern matching of big data on an automata processor.
IEEE BigData
Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng
2016 — conf
O3FA: A Scalable Finite Automata-based Pattern-Matching Engine for Out-of-Order Deep Packet Inspection.
ANCS
Xiaodong Yu, Wu-chun Feng, Danfeng (Daphne) Yao, Michela Becchi
2016 B conf
cuART: Fine-Grained Algebraic Reconstruction Technique for Computed Tomography Images on GPUs.
CCGrid
Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao
2014 J jnl
Revisiting State Blow-Up: Automatically Building Augmented-FA While Preserving Functional Equivalence.
IEEE J. Sel. Areas Commun.
Xiaodong Yu, Bill Lin, Michela Becchi
2013 B conf
Exploring different automata representations for efficient regular expression matching on GPUs.
PPoPP
Xiaodong Yu, Michela Becchi
2013 — conf
GPU acceleration of regular expression matching for large datasets: exploring the implementation space.
Conf. Computing Frontiers
Xiaodong Yu, Michela Becchi