Sheng Di
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
124
Venues
28
Active years
2006–2026
Best venue rank
A*
Where they publish
- ASC31 papers
- CCLUSTER16 papers
- AHPDC13 papers
- AICS10 papers
- A*ICDE6 papers
- BICPP6 papers
- BPPoPP6 papers
- BCCGRID5 papers
- ADSN4 papers
- NationalHiPC4 papers
- AICDCS3 papers
- BEuroPar3 papers
- BIWQoS2 papers
- BDCC1 paper
- A*ASPLOS1 paper
- CIPCCC1 paper
- AEuroSys1 paper
- A*IJCAI1 paper
- BMASCOTS1 paper
- CHPCC1 paper
- CEGPGV1 paper
- BICPADS1 paper
- UnrankedUCC1 paper
- CICDS1 paper
- BAINA1 paper
- CCDVE1 paper
- BPAKDD1 paper
- CAPSCC1 paper
Papers
124 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CCGRID | EmbdC: Error-Bounded Lossy Video Embedding Compression for On-Device LLM Inference. | Bo Jiang, Taolue Yang, Youyuan Liu, Xubin He, Sheng Di, Sian Jin |
| 2026 | DCC | EmbdC: Error-Bounded Lossy Video Embedding Compression for On-Device LLM Inference. | Bo Jiang, Taolue Yang, Youyuan Liu, Sheng Di, Sian Jin |
| 2026 | DSN | In-Depth Exploration of Differentially Private Quantization for Privacy-Preserving and Communication-Efficient Federated Learning. | Shan Huang, Zhijing Ye, Jiamin Wang, Zhaorui Zhang, Jie Fu, Wendy Hui Wang, Sheng Di, Xiaodong Yu |
| 2026 | HPDC | Bridging Information Theory and Practice for Scientific Lossy Compression. | Sujata Sinha, Sheng Di, Vishwas Rao, Robert Underwood, David Lenz, Zizhe Jian, Zhuoxun Yang, Kai Zhao, Lingjia Liu, Franck Cappello |
| 2026 | HPDC | TZ: Achieving High-Ratio Scientific Data Compression on GPUs with Global Data Decomposition. | Zhuoxun Yang, Ruoyu Li, Amit N. Subrahmanya, Vishwas Rao, Sheng Di, Robert Underwood, Longtao Zhang, Jinyang Liu, Franck Cappello, Kai Zhao |
| 2026 | HPDC | OPAL: On-demand Progressive Accelerated Scientific Lossy Compression. | Longtao Zhang, Ruoyu Li, Zhuoxun Yang, Robert Underwood, Sheng Di, Daoce Wang, Jinyang Liu, Jiajun Huang, Franck Cappello, Kai Zhao |
| 2026 | ICDCS | Noise-Calibrated Lossy Compression for Privacy Leakage Reduction in Federated Learning. | Shan Huang, Zhijing Ye, Zhaorui Zhang, Sheng Di, Jiamin Wang, Wendy Hui Wang, Xiaodong Yu |
| 2026 | ICDE | Enabling Homomorphic Analytical Operations on Compressed Scientific Data with Multi-Stage Decompression. | Xuan Wu, Sheng Di, Tripti Agarwal, Kai Zhao, Xin Liang, Franck Cappello |
| 2026 | ICS | Not All Errors Are Equal: A Systematic Study of Error Propagation in Large Language Model Inference. | Yafan Huang, Sheng Di, Guanpeng Li |
| 2026 | ICS | GPZ: GPU-Accelerated Lossy Compressor for Particle Data. | Ruoyu Li, Yafan Huang, Longtao Zhang, Zhuoxun Yang, Sheng Di, Boyuan Zhang, Jiajun Huang, Jinyang Liu, Jiannan Tian, Guanpeng Li, Fengguang Song, Hanqi Guo, Franck Cappello, Kai Zhao |
| 2026 | ICS | PACER: A Userspace Network Rate Controller in MPI with Adaptive Compression for Parallel Applications. | Yuke Li, Darren Ng, Arjun Kashyap, Sheng Di, Guanpeng Li, Xiaoyi Lu |
| 2025 | ASPLOS | TempGraph: An Efficient Chain-driven Temporal Graph Computing Framework on the GPU. | Jin Zhao, Qian Wang, Ligang He, Yu Zhang, Sheng Di, Bingsheng He, Xinlei Wang, Hui Yu, Hao Qi, Longlong Lin, Linchen Yu, Xiaofei Liao, Hai Jin |
| 2025 | HPDC | IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications. | Zhuoxun Yang, Sheng Di, Longtao Zhang, Ruoyu Li, Ximiao Li, Jiajun Huang, Jinyang Liu, Franck Cappello, Kai Zhao |
| 2025 | ICPP | CompreGel: Efficient Distributed Graph Propagation via Error-Bounded Lossy Message Compression. | Tianhao Wu, Da Yan, Qihao Cheng, Lyuheng Yuan, Sheng Di, Jiao Han, Zhongyi Huang, Ji Cheng |
| 2025 | IPCCC | Modeling Rate-Distortion for Endpoint-Aware Lossy Compression in Scientific Data Transfer. | Md Hasanur Rahman, Sheng Di, Guanpeng Li, Franck Cappello |
| 2025 | ICS | ghZCCL: Advancing GPU-aware Collective Communications with Homomorphic Compression. | Jiajun Huang, Sheng Di, Yafan Huang, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur |
| 2025 | ICS | Pushing the Limits of GPU Lossy Compression: A Hierarchical Delta Approach. | Boyuan Zhang, Yafan Huang, Sheng Di, Fengguang Song, Guanpeng Li, Franck Cappello |
| 2025 | PPoPP | COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. | Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Boyuan Zhang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Kamil A. Iskra, Pete Beckman, Guangming Tan, Dingwen Tao |
| 2025 | PPoPP | TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs. | Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Franck Cappello, Zizhong Chen |
| 2025 | SC | Design and Implementation of a Custom Hardware Accelerator for SZx Compression in Chipyard. | Connor Bohannon, Kazutomo Yoshii, Sheng Di, Franck Cappello, Antonino Miceli |
| 2025 | SC | What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression. | Franck Cappello, Robert Underwood, Yuri Alexeev, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Christopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukic, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang, Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao |
| 2025 | SC | GPU Lossy Compression for HPC Can Be Versatile and Ultra-Fast. | Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello |
| 2025 | SC | lsCOMP: Efficient Light Source Compression. | Yafan Huang, Sheng Di, Robert Underwood, Peco Myint, Miaoqi Chu, Guanpeng Li, Nicholas Schwarz, Franck Cappello |
| 2025 | SC | Lightweight CNN-Based Artifact Reduction for Scientific Error-bounded Lossy Compression. | Zizhe Jian, Pu Jiao, Bohan Zhang, Sheng Di, Xin Liang, Guanpeng Li, Huangliang Dai, Zizhong Chen, Franck Cappello |
| 2025 | SC | Beyond End-to-End: Understanding the Limits of LLMs in Scientific Problem Solving. | Youyuan Liu, Sheng Di, Neil Getty, Tanwi Mallick, Robert Underwood, Sian Jin |
| 2025 | SC | Compression Error Sensitivity Analysis for Different Experts in MoE Model Inference. | Songkai Ma, Zhaorui Zhang, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu, Dan Wang |
| 2025 | SC | Benchmarking Cutting-Edge Scientific Error-Bounded Lossy Compressors on Correlation-Based Rate-Distortion. | Ziwei Qiu, Jinyang Liu, Kai Zhao, Robert Underwood, Sheng Di |
| 2025 | SC | Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration. | Shixun Wu, Jinwen Pan, Jinyang Liu, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, Franck Cappello |
| 2024 | CLUSTER | FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance. | Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello |
| 2024 | EuroSys | Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. | Sian Jin, Sheng Di, Frdric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello |
| 2024 | HPDC | A Portable, Fast, DCT-based Compressor for AI Accelerators. | Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello |
| 2024 | HPDC | CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. | Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello |
| 2024 | ICDCS | FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. | Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello |
| 2024 | ICDE | Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. | Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo |
| 2024 | ICPP | Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications. | Tri Nguyen, Md Hasanur Rahman, Sheng Di, Michela Becchi |
| 2024 | IJCAI | FedFa: A Fully Asynchronous Training Paradigm for Federated Learning. | Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao |
| 2024 | ICS | gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. | 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 |
| 2024 | PPoPP | POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. | 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 |
| 2024 | SC | cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. | 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 |
| 2024 | SC | SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data. | Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello |
| 2024 | SC | FRSZ2 for In-Register Block Compression Inside GMRES on GPUs. | Thomas Grtzmacher, Robert Underwood, Sheng Di, Franck Cappello, Hartwig Anzt |
| 2024 | SC | hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. | 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 |
| 2024 | SC | cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio. | Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello |
| 2024 | SC | Versatile Datapath Soft Error Detection on the Cheap for HPC Applications. | Yafan Huang, Sheng Di, Zhaorui Zhang, Xiaoyi Lu, Guanpeng Li |
| 2023 | CCGRID | Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. | Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Franck Cappello |
| 2023 | CLUSTER | A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression. | Arkaprabha Ganguli, Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello |
| 2023 | CLUSTER | An Efficient and Accurate Compression Ratio Estimation Model for SZx. | Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello |
| 2023 | DSN | Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems. | Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Lin Gui, Franck Cappello, Simon McIntosh-Smith |
| 2023 | HiPC | Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. | Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello |
| 2023 | HiPC | SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. | Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello |
| 2023 | HPDC | FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. | Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello |
| 2023 | ICDCS | Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. | Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello |
| 2023 | ICDE | A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets. | Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello |
| 2023 | ICS | FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. | Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello |
| 2023 | ICS | Lightweight Huffman Coding for Efficient GPU Compression. | Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello |
| 2023 | ICS | GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. | Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello |
| 2023 | SC | cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. | Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello |
| 2023 | SC | LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. | Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello |
| 2023 | SC | AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. | Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao |
| 2022 | CLUSTER | Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression. | Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello |
| 2022 | HPDC | Ultrafast Error-bounded Lossy Compression for Scientific Datasets. | Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello |
| 2022 | ICDE | Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. | Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello |
| 2022 | ICDE | MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. | Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello |
| 2022 | ICS | Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems. | Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello |
| 2022 | MASCOTS | Efficient Error-Bounded Lossy Compression for CPU Architectures. | Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon C. Calhoun, Franck Cappello |
| 2022 | PPoPP | Hardening selective protection across multiple program inputs for HPC applications. | Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello |
| 2022 | SC | Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. | Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello |
| 2022 | SC | Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. | Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello |
| 2022 | SC | Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. | Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello |
| 2021 | CLUSTER | Exploring Autoencoder-based Error-bounded Compression for Scientific Data. | Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello |
| 2021 | CLUSTER | Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. | Hongyuan Liu, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog |
| 2021 | CLUSTER | Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. | Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello |
| 2021 | CLUSTER | cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. | Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello |
| 2021 | DSN | Sentiment Analysis based Error Detection for Large-Scale Systems. | Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello, Edward Chuah |
| 2021 | HiPC | Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. | Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello |
| 2021 | ICDE | Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation. | Kai Zhao, Sheng Di, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Zizhong Chen, Franck Cappello |
| 2021 | SC | Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. | David Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello |
| 2021 | SC | Resilient error-bounded lossy compressor for data transfer. | Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello |
| 2021 | SC | Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. | Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello |
| 2021 | SC | Productive and Performant Generic Lossy Data Compression with LibPressio. | Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello |
| 2020 | CLUSTER | Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression. | Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello |
| 2020 | HPDC | Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. | Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello |
| 2020 | PPoPP | waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. | Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello |
| 2019 | CLUSTER | Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. | Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello |
| 2019 | DSN | Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System. | Sheng Di, Hanqi Guo, Eric Pershey, Marc Snir, Franck Cappello |
| 2019 | HPCC | Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing. | Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao |
| 2019 | HPDC | DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. | Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello |
| 2019 | SC | Significantly improving lossy compression quality based on an optimized hybrid prediction model. | Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello |
| 2019 | SC | FT-iSort: efficient fault tolerance for introsort. | Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen |
| 2019 | SC | Full-state quantum circuit simulation by using data compression. | Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong |
| 2018 | CLUSTER | PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. | Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir A. Mironov, Xin Liang, Franck Cappello |
| 2018 | CLUSTER | An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound. | Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello |
| 2018 | CLUSTER | Fixed-PSNR Lossy Compression for Scientific Data. | Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello |
| 2018 | EGPGV | La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. | Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello |
| 2018 | HPDC | Improving performance of iterative methods by lossy checkponting. | Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello |
| 2017 | CCGRID | LogAider: A tool for mining potential correlations of HPC log events. | Sheng Di, Rinku Gupta, Marc Snir, Eric Pershey, Franck Cappello |
| 2017 | CLUSTER | MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection. | Omer Subasi, Sheng Di, Prasanna Balaprakash, Osman S. Unsal, Jess Labarta, Adrin Cristal, Sriram Krishnamoorthy, Franck Cappello |
| 2017 | EuroPar | Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics. | Franck Cappello, Rinku Gupta, Sheng Di, Emil M. Constantinescu, Thomas Peterka, Stefan M. Wild |
| 2017 | EuroPar | Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. | Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kur, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo |
| 2017 | ICPADS | Maximizing the Profit of Cloud Broker with Priority Aware Pricing. | Xinhou Wang, Song Wu, Kezhi Wang, Sheng Di, Hai Jin, Kun Yang, Shumao Ou |
| 2016 | CCGRID | Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era. | Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. nsal, Jess Labarta, Adrin Cristal, Franck Cappello |
| 2016 | EuroPar | Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications. | Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello |
| 2016 | IWQoS | Dynamic resource scheduling in cloud radio access network with mobile cloud computing. | Xinhou Wang, Kezhi Wang, Song Wu, Sheng Di, Kun Yang, Hai Jin |
| 2015 | CCGRID | An Efficient Silent Data Corruption Detection Method with Error-Feedback Control and Even Sampling for HPC Applications. | Sheng Di, Eduardo Berrocal, Franck Cappello |
| 2015 | HPDC | Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications. | Eduardo Berrocal, Leonardo Arturo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello |
| 2015 | PPoPP | Optimization of asynchronous graph processing on GPU with hybrid coloring model. | Xuanhua Shi, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong |
| 2014 | CLUSTER | GIRAFFE: A scalable distributed coordination service for large-scale systems. | Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Di, Song Wu |
| 2014 | HPDC | Communication-driven scheduling for virtual clusters in cloud. | Haibao Chen, Song Wu, Sheng Di, Bing Bing Zhou, Zhenjiang Xie, Hai Jin, Xuanhua Shi |
| 2014 | SC | Optimization of a Multilevel Checkpoint Model with Uncertain Execution Scales. | Sheng Di, Leonardo Arturo Bautista-Gomez, Franck Cappello |
| 2013 | HiPC | Minimization of cloud task execution length with workload prediction errors. | Sheng Di, Cho-Li Wang |
| 2013 | ICPP | Characterizing Cloud Applications on a Google Data Center. | Sheng Di, Derrick Kondo, Franck Cappello |
| 2013 | IWQoS | Optimization and stabilization of composite service processing in a cloud system. | Sheng Di, Derrick Kondo, Cho-Li Wang |
| 2013 | SC | Optimization of cloud task processing with checkpoint-restart mechanism. | Sheng Di, Yves Robert, Frdric Vivien, Derrick Kondo, Cho-Li Wang, Franck Cappello |
| 2012 | CLUSTER | Characterization and Comparison of Cloud versus Grid Workloads. | Sheng Di, Derrick Kondo, Walfredo Cirne |
| 2012 | SC | Host load prediction in a Google compute cloud with a Bayesian model. | Sheng Di, Derrick Kondo, Walfredo Cirne |
| 2011 | ICPP | Probabilistic Best-Fit Multi-dimensional Range Query in Self-Organizing Cloud. | Sheng Di, Cho-Li Wang, Weida Zhang, Luwei Cheng |
| 2011 | ICPP | WAVNet: Wide-Area Network Virtualization Technique for Virtual Private Cloud. | Zheming Xu, Sheng Di, Weida Zhang, Luwei Cheng, Cho-Li Wang |
| 2011 | UCC | Defeating Network Jitter for Virtual Machines. | Luwei Cheng, Cho-Li Wang, Sheng Di |
| 2010 | ICPP | Dual-Phase Just-in-Time Workflow Scheduling in P2P Grid Systems. | Sheng Di, Cho-Li Wang |
| 2008 | ICDS | A Semantic Double-Buffer Based Approach to Enhance Semantic Web Search. | Ling Chen, Hai Jin, Sheng Di |
| 2007 | AINA | Ontology Based Grid Information Interoperation. | Sheng Di, Hai Jin, Shengli Li, Ling Chen, Li Qi, Chengwei Wang |
| 2007 | CDVE | A Composite-Service Authorization Prediction Platform for Grid Environment. | Chuanjiang Yi, Hai Jin, Sheng Di |
| 2007 | PAKDD | Efficient Time Series Data Classification and Compression in Distributed Monitoring. | Sheng Di, Hai Jin, Shengli Li, Jing Tie, Ling Chen |
| 2006 | APSCC | GlobalWatch: A Distributed Service Grid Monitoring Platform with High Flexibility and Usability. | Sheng Di, Hai Jin, Shengli Li, Ling Chen, Chengwei Wang |