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FULL PUBLICATION

My students are underlined, * represents for corresponding author.

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Refereed Conference Publications

  1. 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.” To appear in the International Conference for High Performance Computing, Networking, Storage and Analysis (SC’22), Dallas, TX, USA, November 13-18, 2022.

  2. Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao*. “HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures.” The 31st International Conference on Parallel Architectures and Compilation Techniques (PACT’22), Chicago, IL, October 10-12, 2022.

  3. Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon Calhoun, Franck Cappello. “Efficient Error-Bounded Lossy Compression for CPU Architectures.” The 30th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS’22), Nice, France, October 18-20, 2022.

  4. 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 (VLDB'22), Australia, September 5-9, 2022.

  5. Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin Herbordt, Ang Li, Dingwen Tao*. “H-GCN: A Graph Convolutional Network Accelerator on Xilinx Versal AI Engines.” The 32nd International Conference on Field-Programmable Logic and Applications (FPL'22), Belfast, United Kingdom, August 29-September 2, 2022.

  6. Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao*. "Accelerating Parallel I/O via Hardware-Algorithm Co-Designed Adaptive Lossy Compression." The 36th ACM International Conference on Supercomputing (ICS'22), Virtual, USA, June 27-30, 2022.

  7. 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 (ICS'22), Virtual, USA, June 27-30, 2022.

  8. 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 (HPDC'22), Minneapolis, MN, June 27-July 1, 2022.

  9. 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 (HPDC'22), Minneapolis, MN, June 27-July 1, 2022.

  10. Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao*, Franck Cappello. "Significantly Improving Prediction-Based Lossy Compression Via Ratio-Quality Modeling." 2022 IEEE International Conference on Data Engineering (ICDE'22), Virtual Event, May 9-12.

  11. Cody Rivera, Sheng Di, Xiaodong Yu, Jiannan Tian, Dingwen Tao*, Franck Cappello. "Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs."The 36th IEEE International Parallel and Distributed Symposium (IPDPS'22), Lyon, France, May 30-June 3, 2022.

  12. Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Chen Wang, Kyle Chard, Dingwen Tao, Ian Foster, Franck Cappello. "Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets." 2021 IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC’21), Virtual Event, December 18-21, 2021.

  13. 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." 2021 IEEE International Conference on Cluster Computing (Cluster'21), Virtual Event, September 7-10, 2021. 

  14. Bo Fang^, Daoce Wang^, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao*. "Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights." 2021 IEEE International Conference on Cluster Computing (Cluster'21), Virtual Event, September 7-10, 2021. (^equal contribution)

  15. Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello. "Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data." 2021 IEEE International Conference on Cluster Computing (Cluster'21), Virtual Event, September 7-10, 2021. 

  16. Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello. "cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions." 2021 IEEE International Conference on Cluster Computing (Cluster'21), Virtual Event, September 7-10, 2021. 

  17. Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon 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 (ICS'21), Virtual Event, June 14-17, 2021.

  18. 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 (HPDC'21), Virtual Event, Sweden, June 21-25, 2021.

  19. Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao*, Franck Cappello. "Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures." Proceedings of the 35th IEEE International Parallel and Distributed Symposium (IPDPS'21), Portland, Oregon, USA, May 17-21, 2021.

  20. Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao*. "A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression." The 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP'21), Virtual, February 27-March 3, 2021. 

  21. Heng Zhang, Lingda Li, Donglin Zhuang, Rui Liu, Shuang Song, Dingwen Tao, Yanjun Wu, Shuaiwen Leon Song. "Bring Orders into Uncertainty: Efficient Uncertain Graph Processing via Novel Path Sampling on Multi-GPU Systems." The 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP'21), Virtual, February 27-March 3, 2021.

  22. Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao*, and Franck Cappello. "cuSZ: An Efficient GPU Based Error-Bounded Lossy Compression Framework for Scientific Data." Proceedings of the 29th International Conference on Parallel Architectures and Compilation Techniques (PACT'20), Atlanta, GA, USA, October 3-7, 2020.

  23. Zhenbo Hu, Xiangyu Zou, Wen Xia, Sian Jin, Dingwen Tao, Yang Liu, Weizhe Zhang, Zheng Zhang. "Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity." Proceedings of the 49th International Conference on Parallel Processing (ICPP'20), Edmonton, AB, Canada, August 17-20 2020. 

  24. Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao*, James Ahrens. “Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.” Proceedings of the 34th IEEE International Parallel and Distributed Symposium (IPDPS'20), New Orleans, LA, May 18-22, 2020.

  25. 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." Proceedings of the 57th Annual Design Automation Conference (DAC'20), San Francisco, CA, USA, July 19–23, 2020.

  26. 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.” Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPOPP'20), San Diego, California, USA, February 22–26, 2020.

  27. Yuqi Fu, Shaolun Zhang, Jose Terrero, Ying Mao, Guangya Liu, Sheng Li, Dingwen Tao. "Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster." Proceedings of 2019 IEEE International Conference on Big Data (BigData'19), Los Angeles, CA, USA, December 9-12, 2019.

  28. Donglin Yang, Wei Rang, Dazhao Cheng, Yu Wang, Jiannan Tian, Dingwen Tao. "Elastic Executor Provisioning for Iterative Workloads on Apache Spark." Proceedings of 2019 IEEE International Conference on Big Data (BigData'19), Los Angeles, CA, USA, December 9-12, 2019.

  29. 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." Proceedings of the 31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC'19), Denver, Colorado, USA, Nov 17-22, 2019.

  30. Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, and Qing Liao. “Accelerating Lossy Compression on HPC datasets via Partitioning Computation for Parallel Processing.” Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications (HPCC'19), Zhangjiajie, China, Aug 10 - 12, 2019.

  31. 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." The 33rd ACM International Conference on Supercomputing (ICS'19), Phoenix, AZ, USA, June 26-28, 2019.

  32. 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 (HPDC'19), Phoenix, AZ, USA, June 24-28, 2019.

  33. Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Sheng Di, Dingwen Tao, Franck Cappello. "Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms." The 35th IEEE Symposium on Mass Storage Systems and Technologies (MSST'19), Santa Clara, CA, USA, May 20-24, 2019.

  34. Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, and Franck Cappello. "Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets." 2018 IEEE International Conference on Big Data (BigData'18), Seattle, WA, December 10-13, 2018.

  35. Line Pouchard, Kevin Huck, Gyorgy Matyasfalvi, Dingwen Tao, Li Tang, Huub Van Dam, Shinjae Yoo. "Prescriptive provenance for streaming analysis of workflows at scale." Proceedings of 2018 New York Scientific Data Summit (NYSDS'18), New York, NY, USA, November 16, 2018.

  36. Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello. "Design of Fixed-PSNR Lossy Compression for HPC Scientific Data." Proceedings of the 2018 IEEE International Conference on Cluster Computing (Cluster'18), Belfast, UK, September 10-June 13, 2018.

  37. Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello. "An Efficient Transformation Scheme for Lossy Data Compression with Point-wise Relative Error Bound." Proceedings of the 2018 IEEE International Conference on Cluster Computing (Cluster'18), Belfast, UK, September 10-13, 2018. Best Area Paper Award

  38. 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." Proceedings of the 2018 IEEE International Conference on Cluster Computing (Cluster'18), Belfast, UK, September 10-13, 2018. Best Overall Paper Award

  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." The 30th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC'18), Dallas, Texas, USA, Nov 11-16, 2018.

  40. Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello. "Improving Performance of Iterative Methods by Lossy Checkpointing." The 27th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC'18), Tempe, AZ, USA, June11-15, 2018.

  41. Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello. "In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations." 2017 IEEE International Conference on Big Data (BigData'17), Boston, MA, USA, December 11-14, 2017.

  42. 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." The 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS'17), Orlando, Florida, USA, May 29-June 2, 2017.

  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." The 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC'17), Denver, Colorado, USA, Nov 12-17, 2017.

  44. Ian Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil Constantinescu, Philip E Davis, Sheng Di, Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese Van Dam, Tahsin Kurc, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd Munson, George Ostouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan Wild, Matthew Wolf, Justin M Wozniak, Wei Xu, Shinjae Yoo. "Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales." The 23rd International European Conference on Parallel and Distributed Computing (EuroPar'17), Santiago de Compostela, Spain, Aug 28-Sept 1, 2017.

  45. 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 (PPoPP'17), Austin, Texas, USA, February 4-8, 2017.

  46. 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." The 28th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC'16), Salt Lake City, Utah, USA.

  47. 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 (HPDC'16), Kyoto, JAPAN, May 31-June 4, 2016.

  48. 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 (HPDC'16), Kyoto, JAPAN, May 31-June 4, 2016.

  49. Longxiang Chen, Dingwen Tao, Panruo, Zizhong Chen. "Extending Checksum-Based ABFT to Tolerate Soft Errors Online in Iterative Methods." The 20th IEEE International Conference on Parallel And Distributed Systems (ICPADS'14), Hsinchu, Taiwan, December 16-19, 2014.

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Refereed Journal Articles

  1. 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 (TPDS), 2022.

  2. Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali M. Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, and Franck Cappello. “SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.” IEEE Transactions on Big Data (TBD).

  3. 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 (TC), 2021. 

  4. Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao. "Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster." IEEE Systems Journal (ISJ), 2021. 

  5. Cody Rivera, Jieyang Chen, Nan Xiong, Jing Zhang, Shuaiwen Leon Song, and Dingwen Tao*. "TSM2X: High-Performance Tall-and-Skinny Matrix-Matrix Multiplication on GPUs." Journal of Parallel and Distributed Computing (JPDC), 2020.

  6. Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, and Franck Cappello. "Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data." IEEE Transactions on Parallel and Distributed Systems (TPDS), 2020.

  7. Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, and Frederic T. Chong. “Use Cases of Lossy Compression for Floating-point Data in Scientific Datasets.” The International Journal of High Performance Computing Applications (IJHPCA), 2019.

  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 (TPDS), 2019.

  9. Sheng Di, Dingwen Tao, Xin Liang, and Franck Cappello. "Efficient Lossy Compression for Scientific Data based on Pointwise Relative Error Bound." IEEE Transactions on Parallel and Distributed Systems (TPDS), 2018.

  10. Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello. "Z-checker: A Framework for Assessing Lossy Compression of Scientific Data." The International Journal of High Performance Computing Applications (IJHPCA), 2017.

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Workshop Publications and Posters

  1. Baodi Shan, Aabid Shamji, Jiannan Tian, Guanpeng Li, and Dingwen Tao. "LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs." Proceedings of International Workshop on Big Data Reduction (IWBDR) in conjunction with IEEE BigData'20, Virtual, December 10-13, 2020. 

  2. Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, and Franck Cappello. "SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors." Proceedings of International Workshop on Big Data Reduction (IWBDR) in conjunction with IEEE BigData'20, Virtual, December 10-13, 2020. 

  3. Dingwen Tao. "DeepSZ: A Novel Framework to Compress DNNs by Using Error-Bounded Lossy Compression." Poster in the 3rd ACSIC Symposium on Frontiers in Computing (SOFC), Chicago, Illinois, USA, June 7-8, 2019.

  4. Dingwen Tao. "Exascale Lossy Compression for Scientific Data." Poster in the 2nd ACSIC Symposium on Frontiers in Computing (SOFC), Dallas, Texas, USA, June 1-2, 2018.

  5. Sheng Di, Dingwen Tao, Franck Cappello. "An Efficient Approach to Lossy Compression with Pointwise Relative Error Bound." The 2nd International Workshop on Data Reduction for Big Scientific Data in Conjunction with SC’17 (DRBSD-2), Denver, Colorado, USA, Nov 12-17, 2017.

  6. Ali Murat Gok, Sheng Di, Yury Alexeev, Dingwen Tao, Vladimir Mironov, Franck Cappello. "A Novel Data Compression Algorithm for Two-Electron Repulsion Energy Integrals." Poster in the 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC'17), Denver, Colorado, 2017.

  7. Dingwen Tao, Sheng Di, Zizhong Chen, and Franck Cappello. "Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets." The 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD-1) in conjunction with ISC'17, Frankfurt, Germany, June 22, 2017.

  8. Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello. "Towards Efficient Error-Controlled Lossy Compression for Scientific Data." Poster in the 6th Greater Chicago Area Systems Research Workshop (GCAR), Illinois Institute of Technology, McCormick Tribune Campus Center, April 24, 2017.


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Thesis Publication

Dingwen Tao, "Fault Tolerance Techniques for High-Performance Iterative Methods," University of California, Riverside, 2018.

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