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Xiaodong Yu 0001
Person information
- 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
Other persons with the same name
- Xiaodong Yu — disambiguation page
- Xiaodong Yu 0002 — University of Maryland, College Park, MD, USA
- Xiaodong Yu 0003 — University of Pennsylvania, Philadelphia, PA, USA
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2020 – today
- 2024
- [c30]Milan Shah
, Xiaodong Yu
A Portable, Fast, DCT-based Compressor for AI Accelerators. HPDC 2024: 109-121 - [c29]Shihui Song
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. HPDC 2024: 309-321 - [c28]Jiajun Huang
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. ICS 2024: 437-448 - [c27]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 - [c26]Jiajun Huang
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. PPoPP 2024: 454-456 - [c25]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 - [i13]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
- [c24]Boyuan Zhang
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. HPDC 2023: 129-142 - [c23]Milan Shah
Lightweight Huffman Coding for Efficient GPU Compression. ICS 2023: 99-110 - [c22]Chengming Zhang
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. ICS 2023: 324-335 - [c21]Boyuan Zhang
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. ICS 2023: 348-359 - [c20]Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov
GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. IPDPS 2023: 757-767 - [c19]Yafan Huang
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. SC 2023: 43:1-43:13 - [c18]Chengming Zhang
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. SC Workshops 2023: 1757-1766 - [i12]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]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]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]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]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]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
- [c17]Xiaodong Yu, Sheng Di, Kai Zhao
Ultrafast Error-bounded Lossy Compression for Scientific Datasets. HPDC 2022: 159-171 - [c16]Cody Rivera
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. IPDPS 2022: 717-727 - [i6]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]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]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
- [c15]Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CLUSTER 2021: 283-293 - [c14]Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao
cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. CLUSTER 2021: 307-319 - [c13]Xiaodong Yu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Topology-aware optimizations for multi-GPU ptychographic image reconstruction. ICS 2021: 354-366 - [c12]Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae
High-Performance Ptychographic Reconstruction with Federated Facilities. SMC 2021: 173-189 - [i3]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]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]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) - 2020
- [c11]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
2010 – 2019
- 2019
- [j2]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) - [c10]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]Thomas C. H. Lux, Layne T. Watson, Tyler H. Chang
Novel meshes for multivariate interpolation and approximation. ACM Southeast Regional Conference 2018: 13:1-13:7 - 2017
- [c8]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]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]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]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]Xiaodong Yu, Wu-chun Feng, Danfeng (Daphne) Yao
O3FA: A Scalable Finite Automata-based Pattern-Matching Engine for Out-of-Order Deep Packet Inspection. ANCS 2016: 1-11 - [c3]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 - 2014
- [j1]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) - 2013
- [c2]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]Xiaodong Yu, Michela Becchi:
Exploring different automata representations for efficient regular expression matching on GPUs. PPoPP 2013: 287-288
Coauthor Index
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