基本信息

陶鼎文  男  研究员 博导 中国科学院计算技术研究所

曾任美国印第安纳大学信息与计算机学院终身教授，国家级人才项目入选者、美国NSF CAREER奖获得者、海外优青、IEEE高性能计算杰出新人奖、R&D100创新奖、Meta研究奖以及Amazon研究奖、IEEE Cluster最佳论文奖等。目前担任CCF A类期刊IEEE TPDS副主编、国际期刊Elsevier Parallel Computing分区主编，并是ACM和IEEE的高级会员。

电子邮件：taodingwen@ict.ac.cn
通信地址：北京市海淀区北清路156号
邮政编码：100190

研究领域

高性能计算，并行算法和软件，分布式机器学习系统，科学数据管理和存储。


招生信息

陶鼎文研究员带领的高性能数据处理系统课题组每年招收1至2名博士生及若干硕士生。课题组近期的研究集中在科学数据缩减、科学计算并行算法与软件、高性能计算系统软件、大模型训练及推理优化、大模型容错等多个领域。课题组目前还需要助理研究员、博士后、工程师，背景不限，对HPC和AI系统研究有兴趣的青年都可以联系我们。同时，也欢迎优秀学子关注计算所的保研夏令营及招生信息，报名我们的课题组。

招生专业
081201-计算机系统结构
081203-计算机应用技术
招生方向
高性能计算，并行算法和软件
分布式机器学习系统
科学数据管理和存储

教育背景

2013-09--2018-06   美国加利福利亚大学河滨分校   博士研究生
2009-09--2013-07   中国科学技术大学   本科生

工作经历

   
工作简历
2024-05~现在, 中国科学院计算技术研究所, 研究员
2022-08~2024-04,美国印第安纳大学, 副教授
2020-08~2022-08,美国华盛顿州立大学, 助理教授
2018-08~2020-08,美国阿拉巴马大学, 助理教授
2018-01~2018-06,美国布鲁克海文国家实验室, 研究助理
2016-06~2017-12,美国阿贡国家实验室, 研究助理
2015-06~2015-08,美国西北太平洋国家实验室, 博士实习生
社会兼职
2024-01-01-今,《IEEE Transactions on Parallel and Distributed Systems》期刊, 副主编
2024-01-01-今,《Parallel Computing》期刊, 副主编

专利与奖励

   
奖励信息
（1） CCF高性能计算“青年科技人才”奖, , 国家级, 2024
（2） 美国美国国家科学基金委杰出青年教授奖（NSF CAREER Award）, , 国家级, 2023
（3） Meta研究奖, , 其他, 2022
（4） R&D 100研发奖, , 其他, 2021
（5） IEEE计算机协会高性能计算委员会杰出新人奖, , 其他, 2020
（6） IEEE Cluster最佳论文奖, , 其他, 2018

代表论文

   
会议论文

  1. Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Tallent Nathan, Dingwen Tao. "BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework."  The 39th ACM International Conference on Supercomputing, Salt Lake City, UT, USA, June 8–11, 2025.（CSRankings类论文）

  2. Chenxi Li, Yihang Feng, Fuxing Deng, Dingwen Tao, Weifeng Liu, Zhou Jin. "MemSens: Significantly Reducing Memory Overhead in Adjoint Sensitivity Analysis Using Novel Error-Bounded Lossy Compression." The 62nd Annual Design Automation Conference, San Francisco, CA, USA, June 22–25, 2025.（CCF A类）

  3. Donglei Wu, Weihao Yang, Xiangyu Zou, Jinda Jia, Dingwen Tao, Wen Xia, Zhihong Tian. "BirdMoE: Reducing Communication Costs for Mixture-of-Experts Training Using Load-Aware Bi-random Quantization." The 62nd Annual Design Automation Conference, San Francisco, CA, USA, June 22–25, 2025.（CCF A类）

  4. Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao. "SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training." Advances in Neural Information Processing Systems 37 (2025).（CCF A类）

  5. Hao Hu, Qiyang Zheng, Xiangyu Zou, Lisha Qin, Chengwei Zhang, Wanchuan Zhang, Zhaoheng Jiang, Daoce Wang, Dingwen Tao, Hongpeng Wang, Wen Xia. "A Cost-Effective and Decompression-Transparent Compressor for OLTP-Oriented Databases." The 41st IEEE International Conference on Data Engineering, Hong Kong SAR, May 19–23, 2025.（CCF A类）

  6. Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao. "LCP: Enhancing Scientific Data Management with Lossy Compression for Particles." Proceedings of the ACM on Management of Data, Berlin, Germany, June 22-27, 2025.（CCF A类）

  7. Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Guangming Tan, Dingwen Tao. "COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers." The 28th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Las Vegas, Nevada, March 1–March 5, 2025.（CCF A类）

  8. Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Zhaoxia (Summer) Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao. "Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression." SC24: The International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17–22, 2024.（CCF A类）

  9. Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James Ahrens, Dingwen Tao. "A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization." SC24: The International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17–22, 2024.（CCF A类）

  10. Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, and Franck Cappello. "CUSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation." SC24: The International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17–22, 2024.（CCF A类）

  11. 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." 2024 USENIX Annual Technical Conference, Santa Clara, CA, USA, July 10-12, 2024.（CCF A类）

  12. Xinyu Chen, Jiannan Tian, Ian Beaver, Cynthia Freeman, Yan Yan, Jianguo Wang, Dingwen Tao. "FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data." The 50th International Conference on Very Large Data Bases, Guangzhou, China, August 25-29, 2024. DOI: 10.14778/3648160.3648180.（CCF A类）

  13. Chenxi Li, Boyuan Zhang, Yonggiang Duan, Yang Li, Zuochang Ye, Weifeng Liu, Dingwen Tao, Zhou Jin. "MASC: A Memory-Eficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction." The 61st Annual Design Automation Conference, San Francisco, CA, USA, June 23–27, 2024. DOI: 10.1145/3649329.3657393.（CCF A类）

  14. Sian Jin, Sheng Di, Frederic Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello. "Concealing Compression-Accelerated I/O for HPC Applications through In Situ Task Scheduling." The Nineteenth European Conference on Computer Systems, Athens, Greece, April 23-26, 2024. DOI: 10.1145/3627703.3629573.（CCF A类）

  15. Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James Ahrens, Dingwen Tao. "AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications." SC23: The International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, USA, November 12–17, 2023. DOI: 10.1145/3581784.3613212.（CCF A类）

  16. Zhengyang He, Yafan Huang, Hui Xu, Dingwen Tao, Guanpeng Li. "Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication." SC23: The International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, USA, November 12–17, 2023. DOI: 10.1145/3581784.3607078.（CCF A类）

  17. Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Song, Yuxiong He, Dingwen Tao. "HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs." The 37th ACM International Conference on Supercomputing, Orlando, FL, USA, June 21–23, 2023. DOI: 10.1145/3577193.3593717.（CSRankings类论文）

  18. 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." The 37th ACM International Conference on Supercomputing, Orlando, FL, USA, June 21–23, 2023. DOI: 10.1145/3577193.3593706.（CSRankings类论文）

  19. Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin Herbordt, Tong Geng. "Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training." The 37th ACM International Conference on Supercomputing, Orlando, FL, USA, June 21–23, 2023. DOI: 10.1145/3577193.3593724.（CSRankings类论文）

  20. 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." The 32nd ACM International Symposium on High-Performance Parallel and Distributed Computing, Orlando, FL, June 16–23, 2023. DOI: 10.1145/3588195.3592994.（CSRankings类论文）

  21. Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang*, Franck Cappello. "Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data." The 49th International Conference on Very Large Data Bases, Vancouver, Canada, August 28–September 1, 2023. DOI: 10.14778/3574245.3574255.（CCF A类）

  22. Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan. "HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks." The 37th AAAI Conference on Artificial Intelligence, Washington, DC, USA, Feb 7–14, 2023. DOI: 10.1609/aaai.v37i9.26244.（CCF A类）

  23. Lizhi Xiang*, Miao Yin*, Chengming Zhang, Aravind Sukumaran-Rajam, P. Saday, Bo Yuan, Dingwen Tao. "TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition." The 28th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Montreal, Canada, Feb 26–March 1, 2023. DOI: 10.1145/3572848.3577478.（CCF A类）

  24. Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello. "Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5." SC22: The International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, TX, USA, November 13–18, 2022. DOI: 10.1109/SC41404.2022.00066.（CCF A类）

  25. Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao. "CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Designed Adaptive Lossy Compression." The 36th ACM International Conference on Supercomputing, Virtual, USA, June 27–30, 2022. DOI: 10.1145/3524059.3532362.（CSRankings类论文）

  26. Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao, Yongchao Liu, Charles He, Yanjun Wu, Shuaiwen Leon Song. "Bring Orders into Uncertainty: Enabling Efficient Uncertain Graph Processing via Novel Path Sampling on Multi-Accelerator System." The 36th ACM International Conference on Supercomputing, Virtual, USA, June 27–30, 2022. DOI: 10.1145/3524059.3532379.（CSRankings类论文）

  27. Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James Ahrens, Dingwen Tao. "TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations." The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, June 27–July 1, 2022. DOI: 10.1145/3502181.3531458.（CSRankings类论文）

  28. Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello. "Ultra-fast Error-bounded Lossy Compression for Scientific Dataset." The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, June 27–July 1, 2022. DOI: 10.1145/3502181.3531473.（CSRankings类论文）

  29. Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello. "Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling." The 38th IEEE International Conference on Data Engineering, Virtual Event, May 9–12, 2022. DOI: 10.1109/ICDE53745.2022.00232.（CCF A类）

  30. Sian Jin, Chengming Zhang, Jiannan Tian, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao. "COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression." The 48th International Conference on Very Large Data Bases, Australia, September 5–9, 2022. DOI: 10.14778/3503585.3503597.（CCF A类）

  31. Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Song, Dingwen Tao. "ClickTrain: Efficient and Accurate End-to-End Deep Learning Training via Fine-Grained Architecture-Preserving Pruning." The 35th ACM International Conference on Supercomputing, Virtual, USA, June 14–17, 2021. DOI: 10.1145/3447818.3459988.（CSRankings类论文）

  32. Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James Ahrens. "Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling." The 30th ACM International Symposium on High-Performance Parallel and Distributed Computing, Virtual Event, Sweden, June 21–25, 2021. DOI: 10.1145/3431379.3460653.（CSRankings类论文）

  33. Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao. "RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition." The 57th Annual Design Automation Conference, San Francisco, CA, USA, July 19–23, 2020. DOI: 10.5555/3437539.3437579.（CCF A类）

  34. Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello. "Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization." The 29th ACM International Symposium on High-Performance Parallel and Distributed Computing, Stockholm, Sweden, June 23–26, 2020. DOI: 10.1145/3369583.3392688.（CSRankings类论文）

  35. Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello. "waveSZ: A Hardware-Algorithm Co-Design of Efficient Lossy Compression for Scientific Data." The 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, CA, USA, Feb 22–26, 2020. DOI: 10.1145/3332466.3374525.（CCF A类）

  36. Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello. "DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression." The 28th ACM International Symposium on High-Performance Parallel and Distributed Computing, Phoenix, AZ, USA, June 24–28, 2019. DOI: 10.1145/3307681.3326608.（CSRankings类论文）

  37. Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello. "Significantly Improving Lossy Compression Quality Based on An Optimized Hybrid Prediction Model." SC19: The International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, USA, Nov 17–22, 2019. DOI: 10.1145/3295500.3356193.（CCF A类）

  38. Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen. "TSM2: Optimizing Tall-and-Skinny Matrix-Matrix Multiplication on GPUs." The 33rd ACM International Conference on Supercomputing, AZ, USA, June 26–28, 2019. DOI: 10.1145/3330345.3330355.（CSRankings类论文）

  39. Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen. "FT-MAGMA: Fault Tolerance Dense Matrix Decomposition on Heterogeneous Systems with GPUs." SC18: The International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, TX, USA, Nov 11–16, 2018. DOI: 10.1109/SC.2018.00071.（CCF A类）

  40. Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello. "An Efficient Transformation Scheme for Lossy Data Compression with Point-wise Relative Error Bound." IEEE International Conference on Cluster Computing, Belfast, UK, September 10–13, 2018. DOI: 10.1109/CLUSTER.2018.00036. (最佳领域论文, 4/154).

  41. Ali Murat Gok, Sheng Di, Yury Alexeev, Dingwen Tao, Vladimir Mironov, Franck Cappello. "PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry." IEEE International Conference on Cluster Computing, Belfast, UK, September 10–13, 2018. DOI: 10.1109/CLUSTER.2018.00013. (最佳会议论文, 1/154)

  42. Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello. "Improving Performance of Iterative Methods by Lossy Checkponting." The 27th ACM International Symposium on High-Performance Parallel and Distributed Computing, Tempe, AZ, USA, June 11– 15, 2018. DOI: 10.1145/3208040.3208050.（CSRankings类论文）

  43. Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen. "Correcting Soft Errors Online in Fast Fourier Transform." SC17: The International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, USA, Nov 12–17, 2017. DOI: 10.1145/3126908.3126915.（CCF A类）

  44. Panruo Wu, Nathan Debardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Kaiming Ouyang, Sihuan Li, Zizhong Chen. "Silent Data Corruption Resilient Two-sided Matrix Factorizations." The 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Austin, TX, USA, February 4–8, 2017. DOI: 10.1145/3155284.3018750.（CCF A类）

  45. Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi Bhuyan, Zizhong Chen. "GreenLA: Green Linear Algebra Software for GPU-Accelerated Heterogeneous Computing." SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis, Salt Lake City, UT, USA. DOI: 10.1109/SC.2016.56.（CCF A类）

  46. Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Eddy Z. Zhang, Darren Kerbyson, Zizhong Chen. "New-Sum: A Novel Online ABFT Scheme for General Iterative Methods." The 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, Kyoto, JAPAN, May 31– June 4, 2016. DOI: 10.1145/2907294.2907306.（CSRankings类论文）

  47. Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen. "Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra." The 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, Kyoto, JAPAN, May 31–June 4, 2016. DOI: 10.1145/2907294.2907315.（CSRankings类论文）


期刊论文

  1. Donglei Wu, Weihao Yang, Xiangyu Zou, Hao Feng, Dingwen Tao, Shiyi Li, Wen Xia, Binxing Fang. “BIRD+: Design of a Lightweight Communication Compressor for Resource-Constrained Distribution Learning Platforms.” IEEE Transactions on Parallel and Distributed Systems 35, no. 11 (2024): 2193-2207. DOI: 10.1109/TPDS.2024.3447221.（CCF A类）

  2. Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James Arhens, Dingwen Tao. "TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations." IEEE Transactions on Parallel and Distributed Systems 35, no. 3 (2024): 421-438. DOI: 10.1109/TPDS.2023.3339474.（CCF A类）

  3. Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello: SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. IEEE Transactions on Big Data 9, no. 2 (2023): 485-498. DOI: 10.1109/TBDATA.2022.3201176.（期刊2023年最佳论文）

  4. Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia. "Design of a Quantization-based DNN Delta Compression Framework for Model Snapshots and Federated Learning." IEEE Transactions on Parallel and Distributed Systems 34, no. 3 (2023): 923-937. DOI: 10.1109/TPDS.2022.3230840.（CCF A类）

  5. Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian Foster, Franck Cappello. "Optimizing Error-Bounded Lossy Compression for Scientific Data with Diverse Constraints." IEEE Transactions on Parallel and Distributed Systems 33, no. 12 (2022): 4440-4457. DOI: 10.1109/TPDS.2022.3194695.（CCF A类）

  6. Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, Dave Pugmire, Matthew Wolf, Nobert Podhorszki, Scott Klasky. "MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction." IEEE Transactions on Computers 71, no. 7 (2021): 1522-1536. DOI: 10.1109/TC.2021.3092201.（CCF A类）

  7. Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, Franck Cappello. "Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data." IEEE Transactions on Parallel and Distributed Systems 31, no. 7 (2020): 1665-1680. DOI: 10.1109/TPDS.2020.2972548.（CCF A类）

  8. Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello. "Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection Between SZ and ZFP." IEEE Transactions on Parallel and Distributed Systems 30, no. 8 (2019): 1857-1871. DOI: 10.1109/TPDS.2019.2894404.（CCF A类）

  9. Sheng Di, Dingwen Tao, Xin Liang, Franck Cappello. "Efficient Lossy Compression for Scientific Data based on Pointwise Relative Error Bound." IEEE Transactions on Parallel and Distributed Systems 30, no. 2 (2018): 331-345. DOI: 10.1109/TPDS.2018.2859932.（CCF A类）


科研活动

   
科研项目
（ 1 ） 面向超大规模宇宙学模拟的高性能数据缩减技术研究, 负责人, 中国科学院计划, 2025-01--2027-12
（ 2 ） 面向智能超算的关键基础软件研究, 负责人, 国家任务, 2025-01--2030-12
（ 3 ） NPU流式压缩技术合作项目, 负责人, 境内委托项目, 2025-01--2026-06
（ 4 ） 基于自适应混合压缩技术的大模型通信效率优化, 负责人, 境内委托项目, 2024-12--2025-11
（ 5 ） 复杂模型训练场景下的全自动并行化与异构任务高效重叠化, 负责人, 境内委托项目, 2024-11--2025-10
（ 6 ） 面向大模型预训练通信加速的高效压缩技术, 负责人, 境内委托项目, 2024-11--2025-10
（ 7 ） 数据聚类分组压缩优化研究, 负责人, 境内委托项目, 2024-10--2025-09
（ 8 ） 高性能计算基础软件, 负责人, 国家任务, 2024-10--2027-09
（ 9 ） 面向智能科学工作流的数据缩减技术研究, 负责人, 研究所自主部署, 2024-06--2026-05
（ 10 ） Collaborative Research: SHF: Small: Reimagining Communication Bottlenecks in GNN Acceleration through Collaborative Locality Enhancement and Compression Co-Design, 负责人, 国家任务, 2023-10--2024-04
（ 11 ） Collaborative Research: Frameworks: FZ: A fine-tunable cyberinfrastructure framework to streamline specialized lossy compression development, 负责人, 国家任务, 2023-07--2024-04
（ 12 ） CAREER: A Highly Effective, Usable, Performant, Scalable Data Reduction Framework for HPC Systems and Applications, 负责人, 国家任务, 2023-01--2024-04
（ 13 ） Collaborative Research: OAC Core: CEAPA: A Systematic Approach to Minimize Compression Error Propagation in HPC Applications, 负责人, 国家任务, 2022-08--2024-04
（ 14 ） Collaborative Research: Elements: ROCCI: Integrated Cyberinfrastructure for In Situ Lossy Compression Optimization Based on Post Hoc Analysis Requirements, 负责人, 国家任务, 2021-09--2024-04

指导学生

现指导学生

黄雯静  硕士研究生  081200-计算机科学与技术