陈子忠
教授
香港中文大学(深圳)
教育背景
教育经历：
美国田纳西大学计算机科学博士
中国人民大学经济学硕士
北京师范大学数学学士
工作经历：
2025-至今：香港中文大学（深圳），校长讲座教授，计算机科学学科部主任
2025-至今：深圳河套学院，教授，理论与系统中心副主任，人工智能基础设施实验室主任
2019-2025：加州大学河滨分校，正教授
2015-2019：加州大学河滨分校，副教授
2012-2015：加州大学河滨分校，助理教授
Research Fields
人工智能大模型分布式训练/推理/部署，人工智能计算GPU加速，AI Infrastructure （人工智能基础设施），大型GPU算力集群资源管理与调度，软硬件故障检测与修复, 人工智能计算国产芯片适配和优化
邮箱
zizhongchen@slai.edu.cn
个人简介
陈子忠现任香港中文大学（深圳）校长讲座教授、计算机科学学科部主任；兼任深圳河套学院人工智能理论与系统中心副主任及络书智算首席科学家。陈子忠曾任加州大学河滨分校正教授。他博士师从图灵奖得主Jack Dongarra院士，长期专注于高性能计算与人工智能系统的研究，在高性能计算、GPU加速技术及人工智能软硬件协同优化等方向取得多项成果，多次荣获高性能计算领域顶级国际会议与期刊最佳论文奖。在美国斯坦福大学发布的2025年全球前2% 顶尖科学家榜单里，陈子忠教授在分布式计算领域年度科学影响力排名全球第20，终身科学影响力排名全球第44。根据https://nebelwelt.net/pubstats/top-authors-sys_hpc.html的统计，陈子忠教授在高性能计算领域全球排第12名。陈子忠教授过去15年在CSRankings高性能顶会论文排名全美第一（https://csrankings.org/#/fromyear/2011/toyear/2025/index?hpc&us）。 陈子忠教授是络书智算创始人，致力于人工智能算力领域学术成果产业化，为人工智能计算降本增效，提供高性能低成本的算力服务。欢迎对算力和人工智能基础设施（AI Infrastructure）研究感兴趣的优秀学生报考。
历届博士毕业生
学术界
2025：黄嘉俊 美国南佛罗里达大学 助理教授
2024：刘锦阳 上海交通大学 副教授（海外优青）
2022：赵凯 美国佛罗里达州立大学 助理教授
2022：陈百云 美国塔斯基吉大学 助理教授
2019：陈杰扬 美国俄勒冈大学 助理教授（美国NSF CAREER Award）
2019：梁鑫 美国俄勒冈州立大学 副教授（美国NSF CAREER Award）
2018：陶鼎文 中科院计算所 研究员（美国NSF CAREER Award,中科院百人计划A）
2016：吴磐诺 美国休斯顿大学 副教授（美国NSF CAREER Award）
工业界
2023：翟羽佳 英伟达
2022：欧阳开明 英伟达
2020：李思桓 Meta（Facebook）
2018：李洪波 特斯拉汽车
2015：谭力 微软
目前在读博士生
吴世荀（北京大学本科,美国哥伦比亚大学硕士）
朱越 （北京大学本科）
高以恒（北京大学本科）
王元森（中国人民大学本科）
郭曼婷（上海交通大学本科）
简子哲（中国科学技术大学本科）
孔浩然（北京航空航天大学本科）
胡海洋（北京师范大学本科）
黄艺 （西安交通大学本科）
代黄亮（电子科技大学本科）
郑凯文（西北工业大学本科）
赵育淼（杭州电子科技大学本科，华东师范大学博士）
赵铁囝（杭州电子科技大学本科）
朱恩挺（帝国理工学院本科,剑桥大学硕士）
学术著作
Selected Publications (with My Students Underlined, Full List at Google Scholar >>>)
| SC'25 | Huangliang Dai, Shixun Wu, Jiajun Huang, Zizhe Jian, Yue Zhu, Haiyang Hu, and Zizhong Chen, FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault-Tolerant Attention. |
| SC'25 | Shixun Wu, Yujia Zhai, Huangliang Dai, Yue Zhu, Haiyang Hu, and Zizhong Chen, TurboFNO: High-Performance Fourier Neural Operator with Fused FFT-GEMM-iFFT on GPU. |
| SC'25 | Shixun Wu, Jinwen Pan, Jinyang Liu, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, and Franck Cappello, Boosting Scientific Error-Bounded Lossy Compression Through Optimized Synergistic Lossy-Lossless Orchestration. |
| PPoPP'25 | Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Franck Cappello, and Zizhong Chen: TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs. PPoPP 2025: 70-84. |
| USENIX ATC'25 | Hairui Zhao, Qi Tian, Hongliang Li, and Zizhong Chen: FlexPipe: Maximizing Training Efficiency for Transformer-based Models with Variable-Length Inputs. USENIX ATC 2025: 143-159. |
| ICS'25 | Jiajun Huang, Sheng Di, Yafan Huang, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur: ghZCCL: Advancing GPU-aware Collective Communications with Homomorphic Compression. ICS 2025: 43-56. |
| SC'24 | Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello, High-ratio Scientific Lossy Compression on GPUs with Optimized Multi-level Interpolations, IEEE/ACM The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2024), Atlanta, Georgia, USA, November 17 - 22, 2024. |
| SC'24 | 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, hZCC: Accelerating Collective Communication with Co-designed Operation-supported Compression, IEEE/ACM The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2024), Atlanta, Georgia, USA, November 17 - 22, 2024. |
| ICS'24 | 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, Proceedings of THE 38th ACM International Conference on Supercomputing,, Kyoto Japan June 4 - 7, 2024. |
| SIGMOD'24 | Jinyang Liu , Sheng Di, Kai Zhao, Xin Liang, Sian Jin , Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, and Franck Cappello . High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation, The 2024 ACM International Conference on Management of Data,, Santiago, Chile, on June 9 - June 15, 2024. |
| IPDPS'24 | Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction, Proceedings of the 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS'24), San Francisco, California, USA, May 27-21, 2024. |
| IPDPS'24 | 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, Proceedings of the 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS'24), San Francisco, California, USA, May 27-21, 2024. |
| IPDPS'23 (Best Paper Award) | Yujia Zhai, Chengquan Jiang, Leyuan Wang, Xiaoying Jia, Shang Zhang, Zizhong Chen, Xin Liu, and Yibo Zhu, ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs, Proceedings of the 37th IEEE International Parallel & Distributed Processing Symposium (IPDPS'23), St. Petersburg, Florida USA, May 15-19, 2023. This research and the associated software are currently used to power all of ByteDance's in-house search businesses, including TikTok, Douyin, Xigua Video, Magellan, and Toutiao Search Portal, serving over billions of daily active users worldwide. |
| ICS'23 (Best Paper Finalist) | Jinyang Liu, Sheng Di, Jieyang Chen, Xin Liang, Zizhong Chen, and Franck Cappello. FZ: A flexible auto-tuned modular error-bounded compression framework for scientific data, Proceedings of THE 37th ACM International Conference on Supercomputing,, Orlando, FL, June 21-23, 2023 |
| ICS'23 | Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang,Zizhe Jian, Bryan M. Wong, and Zizhong Chen. Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs, Proceedings of THE 37th ACM International Conference on Supercomputing,, Orlando, FL, June 21-23, 2023 |
| PPoPP'23 | Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi Bhuyan, and Zizhong Chen Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems, Proceedings of the 28th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP'23), Montreal, Canada, February 25 - March 1, 2023. |
| TPDS'23 | Yujia Zhai, Elisa Giem, Kai Zhao, Jinyang Liu, Jiajun Huang, Bryan Wong, Christian Shelton, and Zizhong Chen FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs IEEE Transactions on Parallel and Distributed Systems, Volume: 34, Issue: 12, December, 2023. |
| SC'22 | Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello, Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets, IEEE/ACM The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2022), Dallas, Texas, USA, November 14 - 19, 2022. |
| IPDPS'22 | Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, and Alexander Lyashevsky, Accelerating Encrypted Computing on Intel GPUs, Proceedings of the 36th IEEE International Parallel & Distributed Processing Symposium (IPDPS'22), Lyon, France, May 30 - June 3, 2022. |
| ICDE'22 | Kai Zhao, Sheng Di, Danny Perez, Franck Cappello, and Zizhong Chen, MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics Simulations, Proceedings of the 38th IEEE International Conference on Data Engineering, Virtual Event, May 9 - 12, 2022. |
| TPAMI'22 | Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Elisabeth Giem, Wei Wei, and Zizhong Chen, Ball k-Means: Fast Adaptive Clustering With No Bounds, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume: 44, Issue: 1, January 2022. |
| ICDE'21 | Kai Zhao, Sheng Di, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Zizhong Chen, and Franck Cappello, Optimizing Error-Bounded Lossy Compression for Scienti?c Data by Dynamic Spline Interpolation, Proceedings of the 37th IEEE International Conference on Data Engineering, Chania, Crete, Greece, Apr 19 - 22, 2021. |
| TPDS'21 | Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, and Zizhong Chen FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks, IEEE Transactions on Parallel and Distributed Systems, Volume: 32, Issue: 7, July 2021. |
| SC'21 | Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello Resilient error-bounded lossy compressor for data transfer, Proceedings of the 33th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO, USA. November 13 - 29, 2021. Acceptance Rate: 23.6% (86/365) |
| ICS'21 | Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen FT-BLAS: a high performance BLAS implementation with online fault tolerance, Proceedings of THE 35th ACM International Conference on Supercomputing, Virtual Event, June, 2021. Acceptance Rate: 24%( 38/157) |
| HPDC'20 | Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, and Franck Cappello Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization, Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing, Stockholm, Sweden, June 23 - 26, 2020. Acceptance Rate: 22.5% (16/71) |
| SC'20 | Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, and Pavan Balaji CAB-MPI: exploring interprocess work-stealing towards balanced MPI communication, Proceedings of the 32nd ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Virtual Event, November 9-19, 2021. Acceptance Rate: 22%( 85/380) |
| SC'19 | Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, and Zizhong Chen FT-iSort: Efficient Fault Tolerance for Introsort, Proceedings of the 31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, USA, Nov 17 - 22, 2019. Acceptance Rate: 20.9% (72/344). |
| SC'19 | Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, and Franck Cappello Significantly Improving Lossy Compression Quality based on An Optimized Hybrid Prediction Model, Proceedings of the 31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, USA, Nov 17 - 22, 2019. Acceptance Rate: 20.9% (72/344). |
| ICS'19 | Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, and Zizhong Chen TSM2: Optimizing Tall-and-Skinny Matrix-Matrix Multiplication on GPUs, Proceedings of the 33rd ACM International Conference on Supercomputing, Phoenix, AZ, USA, June 26 - 28, 2019. Acceptance Rate: 23.3% (45/193) |
| ICS'19 | Hadi Zamani Sabzi, Yuanlai Liu, Devashree Tripathy, Laxmi Bhuyan, and Zizhong Chen GreenMM: Energy-Efficient GPU Matrix Multiplication Through Undervolting, Proceedings of the 33rd ACM International Conference on Supercomputing, Phoenix, AZ, USA, June 26 - 28, 2019. Acceptance Rate: 23.3% (45/193) |
| TPDS’19 | 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. |
| SC'18 | Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, and Zizhong Chen Fault Tolerant One-sided Matrix Decompositions on Heterogeneous Systems with GPUs, Proceedings of the 30th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, Texas, USA, Nov 11 - 16, 2018. Acceptance Rate: 19.1% (55/288). |
| HPDC'18 | Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, and Franck Cappello Improving Performance of Iterative Methods by Lossy Checkponting, Proceedings of the 27th ACM International Symposium on High-Performance Parallel and Distributed Computing, Tempe, AZ, United States, June 11-15, 2018. Acceptance Rate: 18.2% (22/121). |
| HPDC'18 | Yuankun Fu, Feng Li, Fengguang Song, and Zizhong Chen Performance Analysis and Optimization of In-situ Integration of Simulation with Data Analysis: Zipping Applications Up, Proceedings of the 27th ACM International Symposium on High-Performance Parallel and Distributed Computing, Tempe, AZ, United States, June 11-15, 2018. Acceptance Rate: 18.2% (22/121). |
| ICDCS'18 | Jieyang Chen, Qiang Guan, Zhao Zhang, Xin Liang, Louis Vernon, Allen Mcpherson, Li-Ta Lo, Zizhong Chen, Patricia Grubel, and James Ahrens BeeFlow : a Workflow Management System for In situ Processing Across HPC and Cloud Systems, Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, Vienna, Austria, July 2-5, 2018. Acceptance Rate: 20.6% (78/378). |
IPDPS'18
| Hongbo Li, Sihuan Li, Zachary Benavides, Zizhong Chen, and Rajiv Gupta COMPI: Concolic Testing for MPI Applications, Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium, Vancouver, British Columbia, Canada, May 21-25, 2018. Acceptance Rate: 24.5% (113/461). |
| SC'17 | Hongbo Li, Zizhong Chen, and Rajiv Gupta ParaStack: Efficient Hang Detection for MPI Programs at Large Scale, Proceedings of the 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, USA, Nov 12 - 17, 2017. Acceptance Rate: 18.6% (61/327). |
| SC'17 | Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, and Zizhong Chen Correcting Soft Errors Online in Fast Fourier Transform, Proceedings of the 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, USA, Nov 12 - 17, 2017. Acceptance Rate: 18.6% (61/327). |
| PPoPP'17 | Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Ouyang Kaiming, Sihuan Li, and Zizhong Chen Silent Data Corruption Resilient Two-sided Matrix Factorizations, Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Austin, Texas, USA, February 4-8 2017. Acceptance Rate: 21.9% (29/132). |
| IPDPS'17 | Dingwen Tao, Sheng Di, Zizhong Chen, and Franck Cappello Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization, Proceedings of the 31st IEEE International Parallel & Distributed Processing Symposium, Orlando, Florida USA, May 29 - June 2, 2017. Acceptance Rate: 23%. |
| SC'16 | Jieyang Chen*, Li Tan*, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi Bhuyan, and Zizhong Chen GreenLA: Green Linear Algebra Software for GPU-Accelerated Heterogeneous Computing, Proceedings of the 28th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Salt Lake City, Utah, USA, Nov 13- 18, 2016. Acceptance Rate: 18.4% (82/446). *Authors contributed equally. |
| HPDC'16 | Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, and Zizhong Chen Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra, Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, Kyoto, JAPAN, May 31- June 4, 2016. Acceptance Rate: 15.5% (20/129). |
| HPDC'16 | Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, Sparsh Mittal Algorithm-Directed Data Placement in Hybrid Memory, Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, Kyoto, JAPAN, May 31- June 4, 2016. Acceptance Rate: 15.5% (20/129). |
| HPDC'16 | Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Zheng Eddy Zhang, Darren Kerbyson, and Zizhong Chen New-Sum: A Novel Online ABFT Scheme For General Iterative Methods, Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, Kyoto, JAPAN, May 31- June 4, 2016. Acceptance Rate: 15.5% (20/129). |
| IPDPS'16 | Jieyang Chen, Xin Liang, and Zizhong Chen Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs, Proceedings of the 30th IEEE International Parallel & Distributed Processing Symposium, Chicago, Illinois, USA, May 23-27, 2016. Acceptance Rate: 22.98% (114/496). |
| TACO'16 | Li Tan, Zizhong Chen, and Suaiwen Leon Song Scalable Energy Efficiency with Resilience for High Performance Computing Systems: A Quantitative Methodology, ACM Transactions on Architecture and Code Optimization, Volume 12 Issue 4, January 2016 |
| IPDPS'15 | Li Tan, Shuaiwen Song, Panruo Wu, Zizhong Chen, Rong Ge, and Darren Kerbyson Investigating the Interplay between Energy Efficiency and Resilience in High Performance Computing, Proceedings of the 29th IEEE International Parallel & Distributed Processing Symposium, Hyderabad, India, May 25-29, 2015. Acceptance Rate: 21.77% (108/496). |
| TPDS'15 | Doug Hakkarinen, Panruo Wu, and Zizhong Chen Fail-Stop Failure Algorithm-Based Fault Tolerance for Cholesky Decomposition, IEEE Transactions on Parallel and Distributed Systems, Volume: 26, Issue: 5, Page 1323-1335,May, 2015. |
| PARCO'14 | Li Tan, Shashank Kothapalli, Longxiang Chen, Omar Hussaini, Ryan Bissiri, and Zizhong Chen A Survey of Power and Energy Efficient Techniques for High Performance Numerical Linear Algebra Operations, Parallel Computing, Vol. 40, No. 10, pp. 559-573, Dec. 2014. |
| HPDC'14 | Panruo Wu and Zizhong Chen FT-ScaLAPACK: Correcting Soft Errors On-Line for ScaLAPACK Cholesky, QR, and LU Factorization Routines, Proceedings of the 23rd ACM International Symposium on High-Performance Parallel and Distributed Computing, Vancouver, Canada, June 23-27, 2014. Acceptance Rate: 16.2% (21/130). |
| SC'13 | Dong Li, Zizhong Chen, Panruo Wu, and Jeffrey Vetter Rethinking Algorithm-Based Fault Tolerance with a Cooperative Software-Hardware Approach, Proceedings of the 25th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, November 17-22, 2013. Acceptance Rate: 19.7% (90/457). |
| TC'13 | Doug Hakkarinen and Zizhong Chen Multi-Level Diskless Checkpointing, IEEE Transactions on Computers, Vol. 62, No. 4, Page 772-783, April, 2013. |
| HPDC'13 | Teresa Davies and Zizhong Chen Correcting Soft Errors Online in LU Factorization, Proceedings of the 22nd ACM International Symposium on High-Performance Parallel and Distributed Computing, New York City, NY, USA. June 17-21, 2013. Acceptance Rate: 15.3% (20/131). |
| PPoPP'13 | Zizhong Chen Online-ABFT: An Online Algorithm Based Fault Tolerance Scheme for Soft Error Detection in Iterative Methods, Proceedings of the 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Shenzhen, China, February 23-27, 2013. Acceptance Rate: 17.8% (26/146). |
| ICS'11 | Teresa Davies, Christer Karlsson, Hui Liu, Chong Ding, and Zizhong Chen High Performance Linpack Benchmark: A Fault Tolerant Implementation without Checkpointing, Proceedings of the 25th ACM International Conference on Supercomputing, Tucson, Arizona, May 31 - June 4, 2011. Acceptance Rate: 21.7% (35/161). |
| HPDC'11 | Zizhong Chen Algorithm-Based Recovery for Iterative Methods without Checkpointing, Proceedings of the 20th ACM International Symposium on High-Performance Parallel and Distributed Computing, San Jose, California, June 8-11, 2011. Acceptance Rate: 12.9% (22/170). |
| IPDPS'10 | Doug Hakkarinen and Zizhong Chen Algorithmic Cholesky Factorization Fault Recovery, Proceedings of the 24th IEEE International Parallel & Distributed Processing Symposium, Atlanta, GA, USA, April 19-23, 2010. Acceptance Rate: 24.1% (127/527). |
| SC'09 | Zizhong Chen Optimal Real Number Codes for Fault Tolerant Matrix Operations, Proceedings of the 21st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Portland, OR, November 14-20, 2009. Acceptance Rate: 22.6% (59/261). |
| TC'09 | Zizhong Chen and Jack Dongarra Highly Scalable Self-Healing Algorithms for High Performance Scientific Computing, IEEE Transactions on Computers, Vol. 58, No. 11, November, 2009. |
| TPDS'08 | Zizhong Chen and Jack Dongarra Algorithm-Based Fault Tolerance for Fail-Stop Failures, IEEE Transactions on Parallel and Distributed Systems, Vol. 19, No. 12, December, 2008. |
| SISC'08 | Julien Langou, Zizhong Chen, George Bosilca, and Jack Dongarra SIAM Journal on Scientific Computing, |
| IPDPS'06 | Zizhong Chen and Jack Dongarra. Algorithm-Based Checkpoint-Free Fault Tolerance for Parallel Matrix Multiplications on Volatile Resources, Proceedings of the 20th IEEE International Parallel & Distributed Processing Symposium, Rhodes Island, Greece, April 25-29, 2006. |
| SIMAX'05 | Zizhong Chen and Jack Dongarra. Condition Numbers of Gaussian Random Matrices, SIAM Journal on Matrix Analysis and Applications, Volume 27, Number 3, Page 603-620, 2005. |
| PPoPP'05 | Zizhong Chen, Graham E. Fagg, Edgar Gabriel, Julien Langou, Thara Angskun, George Bosilca, and Jack Dongarra. Fault Tolerant High Performance Computing by a Coding Approach, Proceedings of the 10th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Chicago, Illinois, USA, June 15-17, 2005. |
| PARCO'03 | Zizhong Chen, Jack Dongarra, Piotr Luszczek, and Kenneth Roche. Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters, Parallel Computing, Volume 29, Number 11-12, Page 1723-1743, November-December, 2003. |
