Sheng Di

280 papers A* 6A 61B 26C 19Misc 7Journal 118Unranked 42
YearRankTypeTitle / Venue / Authors
2026 — conf
DeepEBC: Compressing the Pre-Trained LLMs with Error-Bounded Lossy Compression.
SCA/HPC Asia Workshops
Jiaqi Xu, Zhaorui Zhang, Gaolin Wei, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu
2026 J jnl
Enabling Homomorphic Analytical Operations on Compressed Scientific Data with Multi-stage Decompression.
CoRR
Xuan Wu, Sheng Di, Tripti Agarwal, Kai Zhao, Xin Liang, Franck Cappello
2026 J jnl
FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data.
CoRR
Congrong Ren, Robert Underwood, Sheng Di, Emrecan Kutay, Zarija Lukic, Aylin Yener, Franck Cappello, Hanqi Guo
2026 J jnl
HII-DPO: Eliminate Hallucination via Accurate Hallucination-Inducing Counterfactual Images.
CoRR
Yilin Yang, Zhenghui Guo, Yuke Wang, Omprakash Gnawali, Sheng Di, Chengming Zhang
2026 J jnl
LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation.
CoRR
Shouwei Gao, Xu Zheng, Dongsheng Luo, Sheng Di, Wenqian Dong
2026 J jnl
Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation.
CoRR
Pu Jiao, Sheng Di, Jiannan Tian, Mingze Xia, Xuan Wu, Yang Zhang, Xin Liang, Franck Cappello
2026 J jnl
Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices.
CoRR
Sujata Sinha, Vishwas Rao, Robert Underwood, David Lenz, Sheng Di, Franck Cappello, Lingjia Liu
2026 J jnl
SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs.
CoRR
Jin Lee, Zhonghao Chen, Xuhang He, Robert Underwood, Bogdan Nicolae, Franck Cappello, Xiaoyi Lu, Sheng Di, Zheng Zhang
2026 J jnl
TopoSZp: Lightweight Topology-Aware Error-controlled Compression for Scientific Data.
CoRR
Tripti Agarwal, Sheng Di, Xin Liang, Zhaoyuan Su, Yuxiao Li, Ganesh Gopalakrishnan, Hanqi Guo, Franck Cappello
2026 J jnl
pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression.
CoRR
Yuxiao Li, Mingze Xia, Xin Liang, Bei Wang, Robert Underwood, Sheng Di, Hemant Sharma, Dishant Beniwal, Franck Cappello, Hanqi Guo
2025 A conf
A Memory-Efficient and Computation-Balanced Lossy Compressor on Wafer-Scale Engine.
IPDPS
Shihui Song, Robert Underwood, Sheng Di, Yafan Huang, Peng Jiang, Franck Cappello
2025 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
ACM Comput. Surv.
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, Shihui Song, Jon Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
2025 J jnl
An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning.
CoRR
Zhijing Ye, Sheng Di, Jiamin Wang, Zhiqing Zhong, Zhaorui Zhang, Xiaodong Yu
2025 — conf
Benchmarking Cutting-Edge Scientific Error-Bounded Lossy Compressors on Correlation-Based Rate-Distortion.
SC Workshops
Ziwei Qiu, Jinyang Liu, Kai Zhao, Robert Underwood, Sheng Di
2025 — conf
Beyond End-to-End: Understanding the Limits of LLMs in Scientific Problem Solving.
SC Workshops
Youyuan Liu, Sheng Di, Neil Getty, Tanwi Mallick, Robert Underwood, Sian Jin
2025 A conf
Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration.
SC
Shixun Wu, Jinwen Pan, Jinyang Liu, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, Franck Cappello
2025 J jnl
Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration.
CoRR
Shixun Wu, Jinwen Pan, Jinyang Liu, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, Franck Cappello
2025 J jnl
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning.
CoRR
Ping Zhang, Zhaorui Zhang, Sheng Di, Yao Xin, Benben Liu
2025 B conf
COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers.
PPoPP
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 — conf
Can Tensor Cores Benefit Memory-Bound Kernels? (NO!).
GPGPU@PPoPP
Lingqi Zhang, Jiajun Huang, Sheng Di, Satoshi Matsuoka, Mohamed Wahib
2025 J jnl
Can Tensor Cores Benefit Memory-Bound Kernels? (No!).
CoRR
Lingqi Zhang, Jiajun Huang, Sheng Di, Satoshi Matsuoka, Mohamed Wahib
2025 — conf
Characterizing Spatial Data Traits for Modeling Generic Lossy Rate-Distortion Quality.
IPDPS (Workshops)
Md Hasanur Rahman, Sheng Di, Guanpeng Li, Franck Cappello
2025 B conf
CompreGel: Efficient Distributed Graph Propagation via Error-Bounded Lossy Message Compression.
ICPP
Tianhao Wu, Da Yan, Qihao Cheng, Lyuheng Yuan, Sheng Di, Jiao Han, Zhongyi Huang, Ji Cheng
2025 — conf
Compression Error Sensitivity Analysis for Different Experts in MoE Model Inference.
SC Workshops
Songkai Ma, Zhaorui Zhang, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu, Dan Wang
2025 J jnl
DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction.
CoRR
Khondoker Mirazul Mumenin, Robert Underwood, Dong Dai, Jinzhen Wang, Sheng Di, Zarija Lukic, Franck Cappello
2025 — conf
Design and Implementation of a Custom Hardware Accelerator for SZx Compression in Chipyard.
SC Workshops
Connor Bohannon, Kazutomo Yoshii, Sheng Di, Franck Cappello, Antonino Miceli
2025 A conf
Enabling Efficient Error-Controlled Lossy Compression for Unstructured Scientific Data.
IPDPS
Xuan Wu, Sheng Di, Congrong Ren, Pu Jiao, Mingze Xia, Cheng Wang, Hanqi Guo, Xin Liang, Franck Cappello
2025 J jnl
Eureka: Enabling Fine-Grained Access and Range Queries on Compressed Scientific Data via Data-Index Co-Compression.
Proc. VLDB Endow.
Ning Yan, Sheng Di, Kai Zhao, Lipeng Wan
2025 — conf
Exploring Lossy Compression of Activation Data for Emerging AI Accelerators: A Case Study on the Graphcore IPU.
IISWC
Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2025 A conf
Fast and Effective Lossy Compression on GPUs and CPUs with Guaranteed Error Bounds.
IPDPS
Alex Fallin, Noushin Azami, Sheng Di, Franck Cappello, Martin Burtscher
2025 J jnl
FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression.
IEEE Trans. Parallel Distributed Syst.
Zhaorui Zhang, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Zhuoran Ji, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao, Franck Cappello
2025 Misc conf
FedDES: Discrete Event Based Performance Simulation for Federated Learning Systems.
SEC
Zhonghao Chen, Weicong Chen, Duo Zhang, Kibaek Kim, Guanpeng Li, Sheng Di, Xiaoyi Lu
2025 J jnl
FedEFsz: Fair Cross-Silo Federated Learning System With Error-Bounded Lossy Compression.
IEEE Trans. Parallel Distributed Syst.
Zhaorui Zhang, Sheng Di, Benben Liu, Zhuoran Ji, Guanpeng Li, Xiaoyi Lu, Amelie Chi Zhou, Khalid Ayedh Alharthi, Jiannong Cao
2025 A conf
GPU Lossy Compression for HPC Can Be Versatile and Ultra-Fast.
SC
Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello
2025 J jnl
GPZ: GPU-Accelerated Lossy Compressor for Particle Data.
CoRR
Ruoyu Li, Yafan Huang, Longtao Zhang, Zhuoxun Yang, Sheng Di, Jiajun Huang, Jinyang Liu, Jiannan Tian, Xin Liang, Guanpeng Li, Hanqi Guo, Franck Cappello, Kai Zhao
2025 A conf
IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications.
HPDC
Zhuoxun Yang, Sheng Di, Longtao Zhang, Ruoyu Li, Ximiao Li, Jiajun Huang, Jinyang Liu, Franck Cappello, Kai Zhao
2025 A conf
Improving the Efficiency of Interpolation-based Scientific Data Compressors with Adaptive Quantization Index Prediction.
IPDPS
Pu Jiao, Sheng Di, Mingze Xia, Xuan Wu, Jinyang Liu, Xin Liang, Franck Cappello
2025 J jnl
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles.
Proc. ACM Manag. Data
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
2025 — conf
Lightweight CNN-Based Artifact Reduction for Scientific Error-bounded Lossy Compression.
SC Workshops
Zizhe Jian, Pu Jiao, Bohan Zhang, Sheng Di, Xin Liang, Guanpeng Li, Huangliang Dai, Zizhong Chen, Franck Cappello
2025 J jnl
Lossy Compression of Scientific Data: Applications Constrains and Requirements.
CoRR
Franck Cappello, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Paul Christopher O'Grady, Peng Jiang, Shaomeng Li, Erik Lindahl, Peter Lindstrom, Magnus Lundborg, Kai Zhao, Xin Liang, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Dingwen Tao, Jiannan Tian, Robert Underwood, Kazutomo Yoshii, Danylo Lykov, Yuri Alexeev, Kyle Gerard Felker
2025 — conf
Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing.
IPDPS (Workshops)
Yongfeng Qiu, Yuxiao Li, Xin Liang, Yafan Huang, Guanpeng Li, Sheng Di, Franck Cappello, Hanqi Guo
2025 — conf
Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing.
LDAV
Yongfeng Qiu, Yuxiao Li, Xin Liang, Yafan Huang, Guanpeng Li, Sheng Di, Franck Cappello, Hanqi Guo
2025 J jnl
MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model?
CoRR
Songkai Ma, Zhaorui Zhang, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu, Dan Wang
2025 C conf
Modeling Rate-Distortion for Endpoint-Aware Lossy Compression in Scientific Data Transfer.
IPCCC
Md Hasanur Rahman, Sheng Di, Guanpeng Li, Franck Cappello
2025 J jnl
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing.
Future Gener. Comput. Syst.
Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Kazutomo Yoshii, Boyuan Zhang
2025 J jnl
Ocelot: An Interactive, Efficient Distributed Compression-As-a-Service Platform With Optimized Data Compression Techniques.
IEEE Trans. Parallel Distributed Syst.
Yuanjian Liu, Sheng Di, Jiajun Huang, Zhaorui Zhang, Kyle Chard, Ian T. Foster
2025 J jnl
PSZ: Enhancing the SZ Scientific Lossy Compressor With Progressive Data Retrieval.
CoRR
Zhuoxun Yang, Sheng Di, Longtao Zhang, Ruoyu Li, Ximiao Li, Jiajun Huang, Jinyang Liu, Franck Cappello, Kai Zhao
2025 J jnl
PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression.
CoRR
Bo Jiang, Taolue Yang, Youyuan Liu, Xubin He, Sheng Di, Sian Jin
2025 A conf
Pushing the Limits of GPU Lossy Compression: A Hierarchical Delta Approach.
ICS
Boyuan Zhang, Yafan Huang, Sheng Di, Fengguang Song, Guanpeng Li, Franck Cappello
2025 J jnl
QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression.
Proc. VLDB Endow.
Jinyang Liu, Pu Jiao, Kai Zhao, Xin Liang, Sheng Di, Franck Cappello
2025 J jnl
Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts.
CoRR
Ammar Ahmed, Azal Ahmad Khan, Ayaan Ahmad, Sheng Di, Zirui Liu, Ali Anwar
2025 J jnl
SWARM: Reimagining scientific workflow management systems in a distributed world.
Int. J. High Perform. Comput. Appl.
Prasanna Balaprakash, Krishnan Raghavan, Franck Cappello, Ewa Deelman, Anirban Mandal, Hongwei Jin, Imtiaz Mahmud, Komal Thareja, Shixun Wu, Pawel Zuk, Mariam Kiran, Zizhong Chen, Sheng Di, Kesheng Wu
2025 A conf
Sensitivity and Impacts on Parallel Compression of Prediction of Lossy Compression Ratios for Scientific Data.
IPDPS
Alexandra Poulos, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
2025 J jnl
Systematic Evaluation of Optimization Techniques for Long-Context Language Models.
CoRR
Ammar Ahmed, Sheng Di, Franck Cappello, Zirui Liu, Jingoo Han, Ali Anwar
2025 — conf
TempGraph: An Efficient Chain-driven Temporal Graph Computing Framework on the GPU.
ASPLOS (3)
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 A conf
To Compress or Not to Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O.
IPDPS
Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello
2025 B conf
TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs.
PPoPP
Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Franck Cappello, Zizhong Chen
2025 A conf
What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression.
SC
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 J jnl
ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression.
CoRR
Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Khalid Ayedh Alharthi, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2025 A conf
ghZCCL: Advancing GPU-aware Collective Communications with Homomorphic Compression.
ICS
Jiajun Huang, Sheng Di, Yafan Huang, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2025 A conf
lsCOMP: Efficient Light Source Compression.
SC
Yafan Huang, Sheng Di, Robert Underwood, Peco Myint, Miaoqi Chu, Guanpeng Li, Nicholas Schwarz, Franck Cappello
2024 A conf
A Portable, Fast, DCT-based Compressor for AI Accelerators.
HPDC
Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2024 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
CoRR
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
2024 J jnl
A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly?
Future Gener. Comput. Syst.
Leonardo Bautista-Gomez, Anne Benoit, Sheng Di, Thomas Hérault, Yves Robert, Hongyang Sun
2024 J jnl
An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data.
CoRR
Congrong Ren, Sheng Di, Longtao Zhang, Kai Zhao, Hanqi Guo
2024 A conf
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression.
IPDPS
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
2024 A conf
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2.
HPDC
Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello
2024 A conf
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction.
IPDPS
Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello
2024 A conf
Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling.
EuroSys
Sian Jin, Sheng Di, Frédéric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello
2024 A conf
Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters.
IPDPS
Di Zhang, Monish Soundar Raj, Bing Xie, Sheng Di, Dong Dai
2024 J jnl
DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership.
CoRR
Shixun Wu, Krishnan Raghavan, Sheng Di, Zizhong Chen, Franck Cappello
2024 A conf
Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications.
IPDPS
Md Hasanur Rahman, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, Franck Cappello
2024 — conf
FRSZ2 for In-Register Block Compression Inside GMRES on GPUs.
SC Workshops
Thomas Grützmacher, Robert Underwood, Sheng Di, Franck Cappello, Hartwig Anzt
2024 J jnl
FRSZ2 for In-Register Block Compression Inside GMRES on GPUs.
CoRR
Thomas Grützmacher, Robert Underwood, Sheng Di, Franck Cappello, Hartwig Anzt
2024 C conf
FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance.
CLUSTER
Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello
2024 J jnl
FT K-means: A High-Performance K-means on GPU with Fault Tolerance.
CoRR
Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello
2024 J jnl
FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework.
CoRR
Yuanjian Liu, Huihao Luo, Zhijun Han, Yao Hu, Yehui Yang, Kyle Chard, Sheng Di, Ian T. Foster, Jiesheng Wu
2024 A* conf
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning.
IJCAI
Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao
2024 J jnl
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning.
CoRR
Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao
2024 A conf
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications.
ICDCS
Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024 — conf
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications.
IPDPS (Workshops)
Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024 J jnl
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
Proc. ACM Manag. Data
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
2024 J jnl
HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data.
CoRR
Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello
2024 J jnl
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles.
CoRR
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
2024 B conf
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters.
PPoPP
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 A* conf
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.
ICDE
Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo
2024 J jnl
QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression.
CoRR
Jinyang Liu, Pu Jiao, Kai Zhao, Xin Liang, Sheng Di, Franck Cappello
2024 B conf
QualityNet: Error-bounded Lossy Compression Quality Prediction via Deep Surrogate.
IEEE Big Data
Khondoker Mirazul Mumenin, Dong Dai, Jinzhen Wang, Sheng Di
2024 — conf
SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data.
SC Workshops
Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello
2024 B conf
Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications.
ICPP
Tri Nguyen, Md Hasanur Rahman, Sheng Di, Michela Becchi
2024 J jnl
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O.
CoRR
Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello
2024 J jnl
TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU.
CoRR
Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Zizhong Chen, Franck Cappello
2024 J jnl
TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs.
CoRR
Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Franck Cappello, Zizhong Chen
2024 J jnl
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets.
CoRR
Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
2024 A conf
Versatile Datapath Soft Error Detection on the Cheap for HPC Applications.
SC
Yafan Huang, Sheng Di, Zhaorui Zhang, Xiaoyi Lu, Guanpeng Li
2024 A conf
cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation.
SC
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 A conf
cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio.
SC
Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello
2024 A conf
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.
ICS
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 A conf
hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression.
SC
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
2023 A* conf
A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets.
ICDE
Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello
2023 C conf
A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression.
CLUSTER
Arkaprabha Ganguli, Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello
2023 A conf
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
SC
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
2023 J jnl
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James P. Ahrens, Dingwen Tao
2023 — conf
An Efficient and Accurate Compression Ratio Estimation Model for SZx.
CLUSTER Workshops
Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello
2023 J jnl
Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data.
CoRR
Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello
2023 J jnl
Black-box statistical prediction of lossy compression ratios for scientific data.
Int. J. High Perform. Comput. Appl.
Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello
2023 J jnl
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives.
CoRR
Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2023 Misc conf
Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors.
HiPC
Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello
2023 J jnl
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets.
CoRR
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023 J jnl
Efficient Communication in Federated Learning Using Floating-Point Lossy Compression.
CoRR
Grant Wilkins, Sheng Di, Jon C. Calhoun, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2023 B conf
Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression.
IEEE Big Data
Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, Franck Cappello
2023 A conf
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data.
ICS
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023 A conf
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
HPDC
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2023 J jnl
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
CoRR
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2023 A conf
GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations.
IPDPS
Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello
2023 A conf
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs.
ICS
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello
2023 J jnl
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs.
CoRR
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello
2023 J jnl
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
CoRR
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
2023 — conf
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance.
SC Workshops
Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello
2023 A conf
Lightweight Huffman Coding for Efficient GPU Compression.
ICS
Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
2023 A conf
Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression.
ICDCS
Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello
2023 J jnl
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression.
CoRR
Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello
2023 Misc conf
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework.
HiPC
Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello
2023 J jnl
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
CoRR
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023 J jnl
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.
IEEE Trans. Big Data
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
2023 B conf
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
IEEE Big Data
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023 A conf
Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems.
DSN
Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Lin Gui, Franck Cappello, Simon McIntosh-Smith
2023 J jnl
Toward Feature-Preserving Vector Field Compression.
IEEE Trans. Vis. Comput. Graph.
Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo
2023 B conf
Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression.
CCGrid
Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Franck Cappello
2023 J jnl
cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR
Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello
2023 A conf
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance.
SC
Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello
2023 J jnl
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.
CoRR
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
2022 A conf
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
SC
Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello
2022 J jnl
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
CoRR
Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello
2022 A conf
Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems.
ICS
Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello
2022 A conf
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets.
SC
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2022 B conf
Efficient Error-Bounded Lossy Compression for CPU Architectures.
MASCOTS
Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon C. Calhoun, Franck Cappello
2022 C conf
Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression.
CLUSTER
Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello
2022 B conf
Hardening selective protection across multiple program inputs for HPC applications.
PPoPP
Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
2022 A* conf
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling.
ICDE
Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello
2022 A* conf
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics.
ICDE
Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello
2022 — conf
Message from the DRBSD-8 Workshop Chairs.
DRBSD@SC
Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson
2022 A conf
Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs.
SC
Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
2022 J jnl
OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration.
IEEE Trans. Parallel Distributed Syst.
Robert Underwood, Jon C. Calhoun, Sheng Di, Amy W. Apon, Franck Cappello
2022 J jnl
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.
IEEE Trans. Parallel Distributed Syst.
Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
2022 A conf
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs.
IPDPS
Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello
2022 J jnl
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs.
CoRR
Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello
2022 J jnl
ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography.
CoRR
Robert Underwood, Chun Hong Yoon, Ali Murat Gok, Sheng Di, Franck Cappello
2022 J jnl
SIMD Lossy Compression for Scientific Data.
CoRR
Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon Calhoun, Franck Cappello
2022 J jnl
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets.
CoRR
Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2022 J jnl
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data.
Proc. VLDB Endow.
Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2022 A conf
Ultrafast Error-bounded Lossy Compression for Scientific Datasets.
HPDC
Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2022 — conf
Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets.
DRBSD@SC
Zhaoyuan Su, Sheng Di, Ali Murat Gok, Yue Cheng, Franck Cappello
2022 — conf
Understanding the Effects of Modern Compressors on the Community Earth Science Model.
DRBSD@SC
Robert Underwood, Julie Bessac, Sheng Di, Franck Cappello
2021 C conf
Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer.
CLUSTER
Hongyuan Liu, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog
2021 J jnl
Accelerating Parallel Applications in Cloud Platforms via Adaptive Time-Slice Control.
IEEE Trans. Computers
Hao Fan, Song Wu, Xinyu Zhao, Zhenjiang Xie, Sheng Di, Jiang Xiao, Chen Yu, Hai Jin
2021 J jnl
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data.
CoRR
Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
2021 C conf
Exploring Autoencoder-based Error-bounded Compression for Scientific Data.
CLUSTER
Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
2021 — conf
Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets.
DRBSD@SC
David Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
2021 J jnl
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks.
IEEE Trans. Parallel Distributed Syst.
Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
2021 — conf
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques.
IEEE BigData
Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello
2021 J jnl
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling.
CoRR
Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello
2021 J jnl
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl.
Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson
2021 A* conf
Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation.
ICDE
Kai Zhao, Sheng Di, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Zizhong Chen, Franck Cappello
2021 C conf
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CLUSTER
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2021 Misc conf
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets.
HiPC
Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
2021 — conf
Productive and Performant Generic Lossy Data Compression with LibPressio.
DRBSD@SC
Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello
2021 A conf
Resilient error-bounded lossy compressor for data transfer.
SC
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2021 A conf
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures.
IPDPS
Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello
2021 J jnl
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors.
CoRR
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello
2021 J jnl
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.
CoRR
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
2021 A conf
Sentiment Analysis based Error Detection for Large-Scale Systems.
DSN
Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello, Edward Chuah
2021 — conf
Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data.
HPEC
Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello
2021 — conf
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis.
DRBSD@SC
Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
2021 J jnl
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2021 C conf
cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions.
CLUSTER
Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello
2020 J jnl
Algorithm-Based Fault Tolerance for Convolutional Neural Networks.
CoRR
Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
2020 A conf
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data.
IPDPS
Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello
2020 J jnl
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data.
CoRR
Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello
2020 B conf
Fulfilling the Promises of Lossy Compression for Scientific Applications.
SMC
Franck Cappello, Sheng Di, Ali Murat Gok
2020 J jnl
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data.
IEEE Trans. Parallel Distributed Syst.
Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, Franck Cappello
2020 J jnl
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures.
CoRR
Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello
2020 J jnl
SDC Resilient Error-bounded Lossy Compressor.
CoRR
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2020 — conf
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors.
IEEE BigData
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello
2020 A conf
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization.
HPDC
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello
2020 B conf
Toward Feature-Preserving 2D and 3D Vector Field Compression.
PacificVis
Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka
2020 C conf
Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression.
CLUSTER
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2020 B conf
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
PACT
Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello
2020 J jnl
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
CoRR
Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello
2020 B conf
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data.
PPoPP
Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello
2019 — conf
Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing.
HPCC/SmartCity/DSS
Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao
2019 Misc conf
Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms.
MSST
Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Sheng Di, Dingwen Tao, Franck Cappello
2019 A conf
Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System.
DSN
Sheng Di, Hanqi Guo, Eric Pershey, Marc Snir, Franck Cappello
2019 A conf
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
HPDC
Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello
2019 J jnl
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
CoRR
Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello
2019 J jnl
Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound.
IEEE Trans. Parallel Distributed Syst.
Sheng Di, Dingwen Tao, Xin Liang, Franck Cappello
2019 J jnl
Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System.
IEEE Trans. Parallel Distributed Syst.
Sheng Di, Hanqi Guo, Rinku Gupta, Eric Pershey, Marc Snir, Franck Cappello
2019 A conf
FT-iSort: efficient fault tolerance for introsort.
SC
Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen
2019 A conf
Full-state quantum circuit simulation by using data compression.
SC
Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong
2019 C conf
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation.
CLUSTER
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello
2019 J jnl
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP.
IEEE Trans. Parallel Distributed Syst.
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2019 A conf
Significantly improving lossy compression quality based on an optimized hybrid prediction model.
SC
Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello
2019 J jnl
Use cases of lossy compression for floating-point data in scientific data sets.
Int. J. High Perform. Comput. Appl.
Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, Frederic T. Chong
2019 J jnl
Z-checker: A framework for assessing lossy compression of scientific data.
Int. J. High Perform. Comput. Appl.
Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
2018 J jnl
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation.
CoRR
Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong
2018 C conf
An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound.
CLUSTER
Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello
2018 — conf
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.
eScience
Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood
2018 J jnl
Dynamic Resource Scheduling in Mobile Edge Cloud with Cloud Radio Access Network.
IEEE Trans. Parallel Distributed Syst.
Xinhou Wang, Kezhi Wang, Song Wu, Sheng Di, Hai Jin, Kun Yang, Shumao Ou
2018 — conf
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.
IEEE BigData
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello
2018 J jnl
Exploring the capabilities of support vector machines in detecting silent data corruptions.
Sustain. Comput. Informatics Syst.
Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello
2018 C conf
Fixed-PSNR Lossy Compression for Scientific Data.
CLUSTER
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018 J jnl
Fixed-PSNR Lossy Compression for Scientific Data.
CoRR
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018 J jnl
Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model.
IEEE Trans. Knowl. Data Eng.
Xuanhua Shi, Xuan Luo, Junling Liang, Peng Zhao, Sheng Di, Bingsheng He, Hai Jin
2018 J jnl
Improving Performance of Iterative Methods by Lossy Checkponting.
CoRR
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018 A conf
Improving performance of iterative methods by lossy checkponting.
HPDC
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018 — conf
La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers.
EGPGV@EuroVis
Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello
2018 J jnl
Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression.
CoRR
Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong
2018 J jnl
Optimization of Error-Bounded Lossy Compression for Hard-to-Compress HPC Data.
IEEE Trans. Parallel Distributed Syst.
Sheng Di, Franck Cappello
2018 J jnl
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP.
CoRR
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018 — conf
Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data.
IEEE BigData
Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018 C conf
PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry.
CLUSTER
Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir A. Mironov, Xin Liang, Franck Cappello
2018 — conf
Parallel Partial Reduction for Large-Scale Data Analysis and Visualization.
LDAV
Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen
2017 J jnl
ACStor: Optimizing Access Performance of Virtual Disk Images in Clouds.
IEEE Trans. Parallel Distributed Syst.
Song Wu, Yihong Wang, Wei Luo, Sheng Di, Haibao Chen, Xiaolin Xu, Ran Zheng, Hai Jin
2017 — conf
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.
Euro-Par
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. Kurç, 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 — conf
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets.
ISC Workshops
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 J jnl
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets.
CoRR
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 J jnl
In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations.
CoRR
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 — conf
In-depth exploration of single-snapshot lossy compression techniques for N-body simulations.
IEEE BigData
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 B conf
LogAider: A tool for mining potential correlations of HPC log events.
CCGrid
Sheng Di, Rinku Gupta, Marc Snir, Eric Pershey, Franck Cappello
2017 C conf
MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection.
CLUSTER
Omer Subasi, Sheng Di, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello
2017 B conf
Maximizing the Profit of Cloud Broker with Priority Aware Pricing.
ICPADS
Xinhou Wang, Song Wu, Kezhi Wang, Sheng Di, Hai Jin, Kun Yang, Shumao Ou
2017 A conf
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization.
IPDPS
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 J jnl
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization.
CoRR
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 J jnl
Toward General Software Level Silent Data Corruption Detection for Parallel Applications.
IEEE Trans. Parallel Distributed Syst.
Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
2017 J jnl
Toward an Optimal Online Checkpoint Solution under a Two-Level HPC Checkpoint Model.
IEEE Trans. Parallel Distributed Syst.
Sheng Di, Yves Robert, Frédéric Vivien, Franck Cappello
2017 — conf
Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics.
Euro-Par Workshops
Franck Cappello, Rinku Gupta, Sheng Di, Emil M. Constantinescu, Thomas Peterka, Stefan M. Wild
2017 J jnl
Z-checker: A Framework for Assessing Lossy Compression of Scientific Data.
CoRR
Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
2016 J jnl
Adaptive Impact-Driven Detection of Silent Data Corruption for HPC Applications.
IEEE Trans. Parallel Distributed Syst.
Sheng Di, Franck Cappello
2016 A conf
Dynamic Acceleration of Parallel Applications in Cloud Platforms by Adaptive Time-Slice Control.
IPDPS
Song Wu, Zhenjiang Xie, Haibao Chen, Sheng Di, Xinyu Zhao, Hai Jin
2016 B conf
Dynamic resource scheduling in cloud radio access network with mobile cloud computing.
IWQoS
Xinhou Wang, Kezhi Wang, Song Wu, Sheng Di, Kun Yang, Hai Jin
2016 — conf
Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications.
Euro-Par
Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
2016 A conf
Fast Error-Bounded Lossy HPC Data Compression with SZ.
IPDPS
Sheng Di, Franck Cappello
2016 B conf
Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era.
CCGrid
Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. Ünsal, Jesús Labarta, Adrián Cristal, Franck Cappello
2015 B conf
An Efficient Silent Data Corruption Detection Method with Error-Feedback Control and Even Sampling for HPC Applications.
CCGRID
Sheng Di, Eduardo Berrocal, Franck Cappello
2015 J jnl
GloudSim: Google trace based cloud simulator with virtual machines.
Softw. Pract. Exp.
Sheng Di, Franck Cappello
2015 A conf
Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications.
HPDC
Eduardo Berrocal, Leonardo Arturo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
2015 J jnl
Optimization of Composite Cloud Service Processing with Virtual Machines.
IEEE Trans. Computers
Sheng Di, Derrick Kondo, Cho-Li Wang
2015 B conf
Optimization of asynchronous graph processing on GPU with hybrid coloring model.
PPoPP
Xuanhua Shi, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong
2015 J jnl
Synchronization-Aware Scheduling for Virtual Clusters in Cloud.
IEEE Trans. Parallel Distributed Syst.
Song Wu, Haibao Chen, Sheng Di, Bing Bing Zhou, Zhenjiang Xie, Hai Jin, Xuanhua Shi
2015 J jnl
Towards Optimized Fine-Grained Pricing of IaaS Cloud Platform.
IEEE Trans. Cloud Comput.
Hai Jin, Xinhou Wang, Song Wu, Sheng Di, Xuanhua Shi
2014 J jnl
Adaptive Algorithm for Minimizing Cloud Task Length with Prediction Errors.
IEEE Trans. Cloud Comput.
Sheng Di, Cho-Li Wang, Franck Cappello
2014 J jnl
Characterizing and modeling cloud applications/jobs on a Google data center.
J. Supercomput.
Sheng Di, Derrick Kondo, Franck Cappello
2014 A conf
Communication-driven scheduling for virtual clusters in cloud.
HPDC
Haibao Chen, Song Wu, Sheng Di, Bing Bing Zhou, Zhenjiang Xie, Hai Jin, Xuanhua Shi
2014 C conf
GIRAFFE: A scalable distributed coordination service for large-scale systems.
CLUSTER
Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Di, Song Wu
2014 J jnl
Google hostload prediction based on Bayesian model with optimized feature combination.
J. Parallel Distributed Comput.
Sheng Di, Derrick Kondo, Walfredo Cirne
2014 A conf
Optimization of Multi-level Checkpoint Model for Large Scale HPC Applications.
IPDPS
Sheng Di, Mohamed-Slim Bouguerra, Leonardo Arturo Bautista-Gomez, Franck Cappello
2014 A conf
Optimization of a Multilevel Checkpoint Model with Uncertain Execution Scales.
SC
Sheng Di, Leonardo Arturo Bautista-Gomez, Franck Cappello
2013 B conf
Characterizing Cloud Applications on a Google Data Center.
ICPP
Sheng Di, Derrick Kondo, Franck Cappello
2013 J jnl
Dynamic Optimization of Multiattribute Resource Allocation in Self-Organizing Clouds.
IEEE Trans. Parallel Distributed Syst.
Sheng Di, Cho-Li Wang
2013 J jnl
Error-Tolerant Resource Allocation and Payment Minimization for Cloud System.
IEEE Trans. Parallel Distributed Syst.
Sheng Di, Cho-Li Wang
2013 J jnl
Ex-post efficient resource allocation for Self-organizing Cloud.
Comput. Electr. Eng.
Sheng Di, Cho-Li Wang, Ling Chen
2013 Misc conf
Minimization of cloud task execution length with workload prediction errors.
HiPC
Sheng Di, Cho-Li Wang
2013 B conf
Optimization and stabilization of composite service processing in a cloud system.
IWQoS
Sheng Di, Derrick Kondo, Cho-Li Wang
2013 A conf
Optimization of cloud task processing with checkpoint-restart mechanism.
SC
Sheng Di, Yves Robert, Frédéric Vivien, Derrick Kondo, Cho-Li Wang, Franck Cappello
2013 — conf
Towards Payment-Bound Analysis in Cloud Systems with Task-Prediction Errors.
IEEE CLOUD
Sheng Di, Cho-Li Wang, Derrick Kondo, Guodong Han
2012 C conf
Characterization and Comparison of Cloud versus Grid Workloads.
CLUSTER
Sheng Di, Derrick Kondo, Walfredo Cirne
2012 J jnl
Decentralized proactive resource allocation for maximizing throughput of P2P Grid.
J. Parallel Distributed Comput.
Sheng Di, Cho-Li Wang
2012 A conf
Host load prediction in a Google compute cloud with a Bayesian model.
SC
Sheng Di, Derrick Kondo, Walfredo Cirne
2011 Misc conf
Defeating Network Jitter for Virtual Machines.
UCC
Luwei Cheng, Cho-Li Wang, Sheng Di
2011 — —
Optimal divisible resource allocation for self-organizing cloud
Sheng Di
2011 B conf
Probabilistic Best-Fit Multi-dimensional Range Query in Self-Organizing Cloud.
ICPP
Sheng Di, Cho-Li Wang, Weida Zhang, Luwei Cheng
2011 — conf
Social-optimized win-win resource allocation for Self-organizing Cloud.
CDC
Sheng Di, Cho-Li Wang, Luwei Cheng, Ling Chen
2011 B conf
WAVNet: Wide-Area Network Virtualization Technique for Virtual Private Cloud.
ICPP
Zheming Xu, Sheng Di, Weida Zhang, Luwei Cheng, Cho-Li Wang
2010 — conf
Conflict-minimizing dynamic load balancing for P2P desktop Grid.
GRID
Sheng Di, Cho-Li Wang
2010 B conf
Dual-Phase Just-in-Time Workflow Scheduling in P2P Grid Systems.
ICPP
Sheng Di, Cho-Li Wang
2008 C conf
A Semantic Double-Buffer Based Approach to Enhance Semantic Web Search.
ICDS
Ling Chen, Hai Jin, Sheng Di
2007 C conf
A Composite-Service Authorization Prediction Platform for Grid Environment.
CDVE
Chuanjiang Yi, Hai Jin, Sheng Di
2007 — conf
Efficient Time Series Data Classification and Compression in Distributed Monitoring.
PAKDD Workshops
Sheng Di, Hai Jin, Shengli Li, Jing Tie, Ling Chen
2007 — conf
Ontology Based Grid Information Interoperation.
AINA Workshops (1)
Sheng Di, Hai Jin, Shengli Li, Ling Chen, Li Qi, Chengwei Wang
2006 C conf
GlobalWatch: A Distributed Service Grid Monitoring Platform with High Flexibility and Usability.
APSCC
Sheng Di, Hai Jin, Shengli Li, Ling Chen, Chengwei Wang