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Xiaodong Yu 0001

余晓东

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unicode name: 余晓东
affiliation: Stevens Institute of Technology, Hoboken, NJ, USA
affiliation: Argonne National Laboratory, Lemont, IL, USA
affiliation (PhD 2019): Virginia Tech, Blacksburg, VA, USA

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Journal Articles

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2019
[j2]
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Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao:
GPU-Based Iterative Medical CT Image Reconstructions. J. Signal Process. Syst. 91(3-4): 321-338 (2019)
2014
[j1]
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Xiaodong Yu, Bill Lin, Michela Becchi:
Revisiting State Blow-Up: Automatically Building Augmented-FA While Preserving Functional Equivalence. IEEE J. Sel. Areas Commun. 32(10): 1822-1833 (2014)

Conference and Workshop Papers

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2024
[c31]
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Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello:
A Portable, Fast, DCT-based Compressor for AI Accelerators. HPDC 2024: 109-121
[c30]
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Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello:
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. HPDC 2024: 309-321
[c29]
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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:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. ICS 2024: 437-448
[c28]
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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:
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. IPDPS 2024: 752-764
[c27]
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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:
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. PPoPP 2024: 454-456
[c26]
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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:
hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. SC 2024: 104
[c25]
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Zhen Xie, Murali Emani, Xiaodong Yu, Dingwen Tao, Xin He, Pengfei Su, Keren Zhou, Venkatram Vishwanath:
Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor. USENIX ATC 2024: 1203-1221
2023
[c24]
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Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. HPDC 2023: 129-142
[c23]
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Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello:
Lightweight Huffman Coding for Efficient GPU Compression. ICS 2023: 99-110
[c22]
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Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao:
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. ICS 2023: 324-335
[c21]
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Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello:
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. ICS 2023: 348-359
[c20]
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Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello:
GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. IPDPS 2023: 757-767
[c19]
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Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello:
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. SC 2023: 43:1-43:13
[c18]
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Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao:
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. SC Workshops 2023: 1757-1766
2022
[c17]
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Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello:
Ultrafast Error-bounded Lossy Compression for Scientific Datasets. HPDC 2022: 159-171
[c16]
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Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello:
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. IPDPS 2022: 717-727
2021
[c15]
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Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CLUSTER 2021: 283-293
[c14]
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Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello:
cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. CLUSTER 2021: 307-319
[c13]
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Xiaodong Yu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Topology-aware optimizations for multi-GPU ptychographic image reconstruction. ICS 2021: 354-366
[c12]
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Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster:
High-Performance Ptychographic Reconstruction with Federated Facilities. SMC 2021: 173-189
2020
[c11]
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Xiaodong Yu, Fengguo Wei, Xinming Ou, Michela Becchi, Tekin Bicer, Danfeng Daphne Yao:
GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting. IPDPS 2020: 274-284
2019
[c10]
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Xiaodong Yu, Ya Xiao, Kirk W. Cameron, Danfeng (Daphne) Yao:
Comparative Measurement of Cache Configurations' Impacts on Cache Timing Side-Channel Attacks. CSET @ USENIX Security Symposium 2019
2018
[c9]
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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:
Novel meshes for multivariate interpolation and approximation. ACM Southeast Regional Conference 2018: 13:1-13:7
2017
[c8]
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Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng:
Robotomata: A framework for approximate pattern matching of big data on an automata processor. IEEE BigData 2017: 283-292
[c7]
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Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao:
An Enhanced Image Reconstruction Tool for Computed Tomography on CPUs. Conf. Computing Frontiers 2017: 97-106
[c6]
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Marziyeh Nourian, Xiang Wang, Xiaodong Yu, Wu-chun Feng, Michela Becchi:
Demystifying automata processing: GPUs, FPGAs or Micron's AP? ICS 2017: 1:1-1:11
[c5]
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Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng:
A framework for fast and fair evaluation of automata processing hardware. IISWC 2017: 120-121
2016
[c4]
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Xiaodong Yu, Wu-chun Feng, Danfeng (Daphne) Yao, Michela Becchi:
O3FA: A Scalable Finite Automata-based Pattern-Matching Engine for Out-of-Order Deep Packet Inspection. ANCS 2016: 1-11
[c3]
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Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao:
cuART: Fine-Grained Algebraic Reconstruction Technique for Computed Tomography Images on GPUs. CCGrid 2016: 165-168
2013
[c2]
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Xiaodong Yu, Michela Becchi:
GPU acceleration of regular expression matching for large datasets: exploring the implementation space. Conf. Computing Frontiers 2013: 18:1-18:10
[c1]
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Xiaodong Yu, Michela Becchi:
Exploring different automata representations for efficient regular expression matching on GPUs. PPoPP 2013: 287-288

Informal and Other Publications

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2024
[i13]
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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:
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR abs/2404.02840 (2024)
2023
[i12]
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  - journals/corr/abs-2304-03890
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Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. CoRR abs/2304.03890 (2023)
[i11]
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  - journals/corr/abs-2304-07334
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Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao:
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. CoRR abs/2304.07334 (2023)
[i10]
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  - journals/corr/abs-2304-07342
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Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello:
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. CoRR abs/2304.07342 (2023)
[i9]
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  - journals/corr/abs-2304-12557
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Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. CoRR abs/2304.12557 (2023)
[i8]
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  - journals/corr/abs-2308-05199
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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:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. CoRR abs/2308.05199 (2023)
[i7]
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  - journals/corr/abs-2309-16976
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Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil Iskra, Pete Beckman, Dingwen Tao:
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. CoRR abs/2309.16976 (2023)
2022
[i6]
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  - journals/corr/abs-2201-09118
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Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello:
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. CoRR abs/2201.09118 (2022)
[i5]
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Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello:
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets. CoRR abs/2201.13020 (2022)
[i4]
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  - journals/corr/abs-2211-00224
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Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao:
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates. CoRR abs/2211.00224 (2022)
2021
[i3]
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  - journals/corr/abs-2105-12912
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Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR abs/2105.12912 (2021)
[i2]
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  - journals/corr/abs-2106-07575
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Xiaodong Yu, Viktor V. Nikitin, Daniel J. Ching, Selin S. Aslan, Doga Gürsoy, Tekin Bicer:
Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data. CoRR abs/2106.07575 (2021)
[i1]
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  - journals/corr/abs-2111-11330
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Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster:
High-Performance Ptychographic Reconstruction with Federated Facilities. CoRR abs/2111.11330 (2021)

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