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2020 – today
- 2025
[j37]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:
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Gener. Comput. Syst. 163: 107323 (2025)- 2024
- [j36]Leonardo Bautista-Gomez, Anne Benoit, Sheng Di, Thomas Hérault, Yves Robert, Hongyang Sun:
A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly? Future Gener. Comput. Syst. 161: 315-328 (2024) - [j35]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello:
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. Proc. ACM Manag. Data 2(1): 4:1-4:27 (2024) - [c128]Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello:
FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance. CLUSTER 2024: 322-334 - [c127]Sian Jin, Sheng Di, Frédéric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello:
Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. EuroSys 2024: 981-998 - [c126]Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello:
A Portable, Fast, DCT-based Compressor for AI Accelerators. HPDC 2024: 109-121 - [c125]Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello:
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. HPDC 2024: 309-321 - [c124]Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. ICDCS 2024: 577-588 - [c123]Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo:
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. ICDE 2024: 4979-4992 - [c122]Tri Nguyen, Md Hasanur Rahman, Sheng Di, Michela Becchi:
Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications. ICPP 2024: 845-855 - [c121]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. ICS 2024: 437-448 - [c120]Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao:
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning. IJCAI 2024: 5281-5288 - [c119]Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello:
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction. IPDPS 2024: 417-429 - [c118]Md Hasanur Rahman, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, Franck Cappello:
Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications. IPDPS 2024: 582-594 - [c117]Di Zhang, Monish Soundar Raj, Bing Xie, Sheng Di, Dong Dai:
Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters. IPDPS 2024: 716-727 - [c116]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. IPDPS 2024: 752-764 - [c115]Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. IPDPS (Workshops) 2024: 1187-1188 - [c114]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:
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. PPoPP 2024: 454-456 - [c113]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:
cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. SC 2024: 13 - [c112]Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello:
cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio. SC 2024: 15 - [c111]Yafan Huang, Sheng Di, Zhaorui Zhang, Xiaoyi Lu, Guanpeng Li:
Versatile Datapath Soft Error Detection on the Cheap for HPC Applications. SC 2024: 55 - [c110]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:
hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. SC 2024: 104 - [i49]Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello:
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets. CoRR abs/2403.15953 (2024) - [i48]Yuanjian Liu, Huihao Luo, Zhijun Han, Yao Hu, Yehui Yang, Kyle Chard, Sheng Di, Ian T. Foster, Jiesheng Wu:
FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework. CoRR abs/2404.02163 (2024) - [i47]Congrong Ren, Sheng Di, Longtao Zhang, Kai Zhao, Hanqi Guo:
An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data. CoRR abs/2404.02826 (2024) - [i46]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:
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR abs/2404.02840 (2024) - [i45]Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao:
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning. CoRR abs/2404.11015 (2024) - [i44]Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Zizhong Chen, Franck Cappello:
TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU. CoRR abs/2405.02520 (2024) - [i43]Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello:
FT K-means: A High-Performance K-means on GPU with Fault Tolerance. CoRR abs/2408.01391 (2024) - [i42]Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello:
HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data. CoRR abs/2408.11971 (2024) - [i41]Thomas Grützmacher, Robert Underwood, Sheng Di, Franck Cappello, Hartwig Anzt:
FRSZ2 for In-Register Block Compression Inside GMRES on GPUs. CoRR abs/2409.15468 (2024) - [i40]Shixun Wu, Krishnan Raghavan, Sheng Di, Zizhong Chen, Franck Cappello:
DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership. CoRR abs/2410.11142 (2024) - [i39]Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello:
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O. CoRR abs/2410.23497 (2024) - [i38]Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao:
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. CoRR abs/2411.00761 (2024) - 2023
- [j34]Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello:
Black-box statistical prediction of lossy compression ratios for scientific data. Int. J. High Perform. Comput. Appl. 37(3-4): 412-433 (2023) - [j33]Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello:
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. IEEE Trans. Big Data 9(2): 485-498 (2023) - [j32]Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo:
Toward Feature-Preserving Vector Field Compression. IEEE Trans. Vis. Comput. Graph. 29(12): 5434-5450 (2023) - [c109]Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. IEEE Big Data 2023: 229-236 - [c108]Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, Franck Cappello:
Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression. IEEE Big Data 2023: 4233-4239 - [c107]Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Franck Cappello:
Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. CCGrid 2023: 651-661 - [c106]Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
An Efficient and Accurate Compression Ratio Estimation Model for SZx. CLUSTER Workshops 2023: 48-49 - [c105]Arkaprabha Ganguli, Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello:
A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression. CLUSTER 2023: 247-258 - [c104]Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Lin Gui, Franck Cappello, Simon McIntosh-Smith:
Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems. DSN 2023: 508-521 - [c103]Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello:
Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. HiPC 2023: 117-126 - [c102]Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. HiPC 2023: 132-142 - [c101]Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. HPDC 2023: 129-142 - [c100]Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello:
Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. ICDCS 2023: 703-713 - [c99]Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello:
A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets. ICDE 2023: 1461-1474 - [c98]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. ICS 2023: 1-13 - [c97]Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello:
Lightweight Huffman Coding for Efficient GPU Compression. ICS 2023: 99-110 - [c96]Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello:
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. ICS 2023: 348-359 - [c95]Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello:
GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. IPDPS 2023: 757-767 - [c94]Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello:
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. SC 2023: 43:1-43:13 - [c93]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:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. SC 2023: 44:1-44:15 - [c92]Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello:
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. SC Workshops 2023: 272-280 - [i37]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. CoRR abs/2304.03890 (2023) - [i36]Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello:
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. CoRR abs/2304.07342 (2023) - [i35]Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. CoRR abs/2304.12557 (2023) - [i34]Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello:
Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data. CoRR abs/2305.08801 (2023) - [i33]Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello:
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression. CoRR abs/2307.05416 (2023) - [i32]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:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. CoRR abs/2307.09609 (2023) - [i31]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:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. CoRR abs/2308.05199 (2023) - [i30]Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. CoRR abs/2309.04037 (2023) - [i29]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets. CoRR abs/2310.14133 (2023) - [i28]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello:
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. CoRR abs/2311.12133 (2023) - [i27]Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello:
cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR abs/2312.05492 (2023) - [i26]Grant Wilkins, Sheng Di, Jon C. Calhoun, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
Efficient Communication in Federated Learning Using Floating-Point Lossy Compression. CoRR abs/2312.13461 (2023) - 2022
- [j31]Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello:
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data. Proc. VLDB Endow. 16(4): 697-710 (2022) - [j30]Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. IEEE Trans. Parallel Distributed Syst. 33(10): 4440-4457 (2022) - [j29]Robert Underwood, Jon C. Calhoun, Sheng Di, Amy W. Apon, Franck Cappello:
OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration. IEEE Trans. Parallel Distributed Syst. 33(12): 3505-3519 (2022) - [c91]Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello:
Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression. CLUSTER 2022: 23-34 - [c90]Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello:
Ultrafast Error-bounded Lossy Compression for Scientific Datasets. HPDC 2022: 159-171 - [c89]Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello:
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. ICDE 2022: 27-40 - [c88]Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. ICDE 2022: 2494-2507 - [c87]Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello:
Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems. ICS 2022: 35:1-35:14 - [c86]Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello:
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. IPDPS 2022: 717-727 - [c85]Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon C. Calhoun, Franck Cappello:
Efficient Error-Bounded Lossy Compression for CPU Architectures. MASCOTS 2022: 89-96 - [c84]Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello:
Hardening selective protection across multiple program inputs for HPC applications. PPoPP 2022: 437-438 - [c83]Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello:
Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. SC 2022: 17:1-17:14 - [c82]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. SC 2022: 61:1-61:15 - [c81]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. SC 2022: 62:1-62:15 - [c80]Robert Underwood, Julie Bessac, Sheng Di, Franck Cappello:
Understanding the Effects of Modern Compressors on the Community Earth Science Model. DRBSD@SC 2022: 1-10 - [c79]Zhaoyuan Su, Sheng Di, Ali Murat Gok, Yue Cheng, Franck Cappello:
Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. DRBSD@SC 2022: 44-53 - [c78]Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson:
Message from the DRBSD-8 Workshop Chairs. DRBSD@SC 2022: v - [i25]Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon Calhoun, Franck Cappello:
SIMD Lossy Compression for Scientific Data. CoRR abs/2201.04614 (2022) - [i24]Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello:
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. CoRR abs/2201.09118 (2022) - [i23]Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello:
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets. CoRR abs/2201.13020 (2022) - [i22]Robert Underwood, Chun Hong Yoon, Ali Murat Gok, Sheng Di, Franck Cappello:
ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography. CoRR abs/2206.11297 (2022) - [i21]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. CoRR abs/2206.14761 (2022) - 2021
- [j28]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:
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35(6): 617-635 (2021) - [j27]Hao Fan, Song Wu, Xinyu Zhao, Zhenjiang Xie, Sheng Di, Jiang Xiao, Chen Yu, Hai Jin:
Accelerating Parallel Applications in Cloud Platforms via Adaptive Time-Slice Control. IEEE Trans. Computers 70(7): 992-1005 (2021) - [j26]Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen:
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks. IEEE Trans. Parallel Distributed Syst. 32(7): 1677-1689 (2021) - [c77]Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello:
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. IEEE BigData 2021: 2986-2991 - [c76]Hongyuan Liu, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog:
Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. CLUSTER 2021: 82-93 - [c75]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. CLUSTER 2021: 283-293 - [c74]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. CLUSTER 2021: 294-306 - [c73]Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello:
cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. CLUSTER 2021: 307-319 - [c72]Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello, Edward Chuah:
Sentiment Analysis based Error Detection for Large-Scale Systems. DSN 2021: 237-249 - [c71]Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. HiPC 2021: 394-399 - [c70]Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello:
Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data. HPEC 2021: 1-7 - [c69]Kai Zhao, Sheng Di, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Zizhong Chen, Franck Cappello:
Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation. ICDE 2021: 1643-1654 - [c68]Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello:
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. IPDPS 2021: 881-891 - [c67]Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello:
Productive and Performant Generic Lossy Data Compression with LibPressio. DRBSD@SC 2021: 1-10 - [c66]Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. DRBSD@SC 2021: 40-46 - [c65]David Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello:
Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. DRBSD@SC 2021: 47-53 - [c64]Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Resilient error-bounded lossy compressor for data transfer. SC 2021: 94 - [i20]Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello:
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. CoRR abs/2101.03201 (2021) - [i19]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. CoRR abs/2105.11730 (2021) - [i18]Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR abs/2105.12912 (2021) - [i17]Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello:
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. CoRR abs/2111.02925 (2021) - [i16]Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling. CoRR abs/2111.09815 (2021) - 2020
- [j25]Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, Franck Cappello:
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data. IEEE Trans. Parallel Distributed Syst. 31(7): 1665-1680 (2020) - [c63]Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. PACT 2020: 3-15 - [c62]Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka:
Toward Feature-Preserving 2D and 3D Vector Field Compression. PacificVis 2020: 81-90 - [c61]Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello:
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. IEEE BigData 2020: 2716-2724 - [c60]Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression. CLUSTER 2020: 326-336 - [c59]Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello:
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. HPDC 2020: 89-100 - [c58]Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello:
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. IPDPS 2020: 567-577 - [c57]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. PPoPP 2020: 74-88 - [c56]Franck Cappello, Sheng Di, Ali Murat Gok:
Fulfilling the Promises of Lossy Compression for Scientific Applications. SMC 2020: 99-116 - [i15]Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello:
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. CoRR abs/2001.06139 (2020) - [i14]Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen:
Algorithm-Based Fault Tolerance for Convolutional Neural Networks. CoRR abs/2003.12203 (2020) - [i13]Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. CoRR abs/2007.09625 (2020) - [i12]Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
SDC Resilient Error-bounded Lossy Compressor. CoRR abs/2010.03144 (2020) - [i11]Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello:
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. CoRR abs/2010.10039 (2020)
2010 – 2019
- 2019
- [j24]Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello:
Z-checker: A framework for assessing lossy compression of scientific data. Int. J. High Perform. Comput. Appl. 33(2) (2019) - [j23]Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, Frederic T. Chong:
Use cases of lossy compression for floating-point data in scientific data sets. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [j22]Sheng Di, Dingwen Tao, Xin Liang, Franck Cappello:
Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound. IEEE Trans. Parallel Distributed Syst. 30(2): 331-345 (2019) - [j21]Sheng Di, Hanqi Guo, Rinku Gupta, Eric Pershey, Marc Snir, Franck Cappello:
Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System. IEEE Trans. Parallel Distributed Syst. 30(2): 361-374 (2019) - [j20]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. IEEE Trans. Parallel Distributed Syst. 30(8): 1857-1871 (2019) - [c55]Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello:
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. CLUSTER 2019: 1-11 - [c54]Sheng Di, Hanqi Guo, Eric Pershey, Marc Snir, Franck Cappello:
Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System. DSN 2019: 473-484 - [c53]Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao:
Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing. HPCC/SmartCity/DSS 2019: 1791-1797 - [c52]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. HPDC 2019: 159-170 - [c51]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. MSST 2019: 65-78 - [c50]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. SC 2019: 33:1-33:26 - [c49]Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen:
FT-iSort: efficient fault tolerance for introsort. SC 2019: 71:1-71:17 - [c48]Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Full-state quantum circuit simulation by using data compression. SC 2019: 80:1-80:24 - [i10]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. CoRR abs/1901.09124 (2019) - 2018
- [j19]Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello:
Exploring the capabilities of support vector machines in detecting silent data corruptions. Sustain. Comput. Informatics Syst. 19: 277-290 (2018) - [j18]Xuanhua Shi, Xuan Luo, Junling Liang, Peng Zhao, Sheng Di, Bingsheng He, Hai Jin:
Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model. IEEE Trans. Knowl. Data Eng. 30(1): 29-42 (2018) - [j17]Sheng Di, Franck Cappello:
Optimization of Error-Bounded Lossy Compression for Hard-to-Compress HPC Data. IEEE Trans. Parallel Distributed Syst. 29(1): 129-143 (2018) - [j16]Xinhou Wang, Kezhi Wang, Song Wu, Sheng Di, Hai Jin, Kun Yang, Shumao Ou:
Dynamic Resource Scheduling in Mobile Edge Cloud with Cloud Radio Access Network. IEEE Trans. Parallel Distributed Syst. 29(11): 2429-2445 (2018) - [c47]Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data. IEEE BigData 2018: 428-437 - [c46]Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello:
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets. IEEE BigData 2018: 438-447 - [c45]Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir A. Mironov, Xin Liang, Franck Cappello:
PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. CLUSTER 2018: 1-11 - [c44]Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello:
An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound. CLUSTER 2018: 179-189 - [c43]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Fixed-PSNR Lossy Compression for Scientific Data. CLUSTER 2018: 314-318 - [c42]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:
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 2018: 442-452 - [c41]Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello:
La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. EGPGV@EuroVis 2018: 91-100 - [c40]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Improving performance of iterative methods by lossy checkponting. HPDC 2018: 52-65 - [c39]Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen:
Parallel Partial Reduction for Large-Scale Data Analysis and Visualization. LDAV 2018: 45-55 - [i9]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Improving Performance of Iterative Methods by Lossy Checkponting. CoRR abs/1804.11268 (2018) - [i8]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Fixed-PSNR Lossy Compression for Scientific Data. CoRR abs/1805.07384 (2018) - [i7]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. CoRR abs/1806.08901 (2018) - [i6]Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation. CoRR abs/1811.05140 (2018) - [i5]Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression. CoRR abs/1811.05630 (2018) - 2017
- [j15]Sheng Di, Yves Robert, Frédéric Vivien, Franck Cappello:
Toward an Optimal Online Checkpoint Solution under a Two-Level HPC Checkpoint Model. IEEE Trans. Parallel Distributed Syst. 28(1): 244-259 (2017) - [j14]Song Wu, Yihong Wang, Wei Luo, Sheng Di, Haibao Chen, Xiaolin Xu, Ran Zheng, Hai Jin:
ACStor: Optimizing Access Performance of Virtual Disk Images in Clouds. IEEE Trans. Parallel Distributed Syst. 28(9): 2414-2427 (2017) - [j13]Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello:
Toward General Software Level Silent Data Corruption Detection for Parallel Applications. IEEE Trans. Parallel Distributed Syst. 28(12): 3642-3655 (2017) - [c38]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
In-depth exploration of single-snapshot lossy compression techniques for N-body simulations. IEEE BigData 2017: 486-493 - [c37]Sheng Di, Rinku Gupta, Marc Snir, Eric Pershey, Franck Cappello:
LogAider: A tool for mining potential correlations of HPC log events. CCGrid 2017: 442-451 - [c36]Omer Subasi, Sheng Di, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello:
MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection. CLUSTER 2017: 717-724 - [c35]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:
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: 3-19 - [c34]Franck Cappello, Rinku Gupta, Sheng Di, Emil M. Constantinescu, Thomas Peterka, Stefan M. Wild:
Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics. Euro-Par Workshops 2017: 545-556 - [c33]Xinhou Wang, Song Wu, Kezhi Wang, Sheng Di, Hai Jin, Kun Yang, Shumao Ou:
Maximizing the Profit of Cloud Broker with Priority Aware Pricing. ICPADS 2017: 511-518 - [c32]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization. IPDPS 2017: 1129-1139 - [c31]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets. ISC Workshops 2017: 43-54 - [i4]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization. CoRR abs/1706.03791 (2017) - [i3]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets. CoRR abs/1707.08205 (2017) - [i2]Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello:
Z-checker: A Framework for Assessing Lossy Compression of Scientific Data. CoRR abs/1707.09320 (2017) - [i1]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations. CoRR abs/1711.03888 (2017) - 2016
- [j12]Sheng Di, Franck Cappello:
Adaptive Impact-Driven Detection of Silent Data Corruption for HPC Applications. IEEE Trans. Parallel Distributed Syst. 27(10): 2809-2823 (2016) - [c30]Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. Ünsal, Jesús Labarta, Adrián Cristal, Franck Cappello:
Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era. CCGrid 2016: 413-424 - [c29]Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello:
Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications. Euro-Par 2016: 419-430 - [c28]Song Wu, Zhenjiang Xie, Haibao Chen, Sheng Di, Xinyu Zhao, Hai Jin:
Dynamic Acceleration of Parallel Applications in Cloud Platforms by Adaptive Time-Slice Control. IPDPS 2016: 343-352 - [c27]Sheng Di, Franck Cappello:
Fast Error-Bounded Lossy HPC Data Compression with SZ. IPDPS 2016: 730-739 - [c26]Xinhou Wang, Kezhi Wang, Song Wu, Sheng Di, Kun Yang, Hai Jin:
Dynamic resource scheduling in cloud radio access network with mobile cloud computing. IWQoS 2016: 1-6 - 2015
- [j11]Sheng Di, Franck Cappello:
GloudSim: Google trace based cloud simulator with virtual machines. Softw. Pract. Exp. 45(11): 1571-1590 (2015) - [j10]Sheng Di, Derrick Kondo, Cho-Li Wang:
Optimization of Composite Cloud Service Processing with Virtual Machines. IEEE Trans. Computers 64(6): 1755-1768 (2015) - [j9]Hai Jin, Xinhou Wang, Song Wu, Sheng Di, Xuanhua Shi:
Towards Optimized Fine-Grained Pricing of IaaS Cloud Platform. IEEE Trans. Cloud Comput. 3(4): 436-448 (2015) - [j8]Song Wu, Haibao Chen, Sheng Di, Bing Bing Zhou, Zhenjiang Xie, Hai Jin, Xuanhua Shi:
Synchronization-Aware Scheduling for Virtual Clusters in Cloud. IEEE Trans. Parallel Distributed Syst. 26(10): 2890-2902 (2015) - [c25]Sheng Di, Eduardo Berrocal, Franck Cappello:
An Efficient Silent Data Corruption Detection Method with Error-Feedback Control and Even Sampling for HPC Applications. CCGRID 2015: 271-280 - [c24]Eduardo Berrocal, Leonardo Arturo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello:
Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications. HPDC 2015: 275-278 - [c23]Xuanhua Shi, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong:
Optimization of asynchronous graph processing on GPU with hybrid coloring model. PPoPP 2015: 271-272 - 2014
- [j7]Sheng Di, Derrick Kondo, Walfredo Cirne:
Google hostload prediction based on Bayesian model with optimized feature combination. J. Parallel Distributed Comput. 74(1): 1820-1832 (2014) - [j6]Sheng Di, Cho-Li Wang, Franck Cappello:
Adaptive Algorithm for Minimizing Cloud Task Length with Prediction Errors. IEEE Trans. Cloud Comput. 2(2): 194-207 (2014) - [j5]Sheng Di, Derrick Kondo, Franck Cappello:
Characterizing and modeling cloud applications/jobs on a Google data center. J. Supercomput. 69(1): 139-160 (2014) - [c22]Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Di, Song Wu:
GIRAFFE: A scalable distributed coordination service for large-scale systems. CLUSTER 2014: 38-47 - [c21]Haibao Chen, Song Wu, Sheng Di, Bing Bing Zhou, Zhenjiang Xie, Hai Jin, Xuanhua Shi:
Communication-driven scheduling for virtual clusters in cloud. HPDC 2014: 125-128 - [c20]Sheng Di, Mohamed-Slim Bouguerra, Leonardo Arturo Bautista-Gomez, Franck Cappello:
Optimization of Multi-level Checkpoint Model for Large Scale HPC Applications. IPDPS 2014: 1181-1190 - [c19]Sheng Di, Leonardo Arturo Bautista-Gomez, Franck Cappello:
Optimization of a Multilevel Checkpoint Model with Uncertain Execution Scales. SC 2014: 907-918 - 2013
- [j4]Sheng Di, Cho-Li Wang, Ling Chen:
Ex-post efficient resource allocation for Self-organizing Cloud. Comput. Electr. Eng. 39(7): 2342-2356 (2013) - [j3]Sheng Di, Cho-Li Wang:
Dynamic Optimization of Multiattribute Resource Allocation in Self-Organizing Clouds. IEEE Trans. Parallel Distributed Syst. 24(3): 464-478 (2013) - [j2]Sheng Di, Cho-Li Wang:
Error-Tolerant Resource Allocation and Payment Minimization for Cloud System. IEEE Trans. Parallel Distributed Syst. 24(6): 1097-1106 (2013) - [c18]Sheng Di, Cho-Li Wang, Derrick Kondo, Guodong Han:
Towards Payment-Bound Analysis in Cloud Systems with Task-Prediction Errors. IEEE CLOUD 2013: 502-509 - [c17]Sheng Di, Cho-Li Wang:
Minimization of cloud task execution length with workload prediction errors. HiPC 2013: 69-78 - [c16]Sheng Di, Derrick Kondo, Franck Cappello:
Characterizing Cloud Applications on a Google Data Center. ICPP 2013: 468-473 - [c15]Sheng Di, Derrick Kondo, Cho-Li Wang:
Optimization and stabilization of composite service processing in a cloud system. IWQoS 2013: 41-50 - [c14]Sheng Di, Yves Robert, Frédéric Vivien, Derrick Kondo, Cho-Li Wang, Franck Cappello:
Optimization of cloud task processing with checkpoint-restart mechanism. SC 2013: 64:1-64:12 - 2012
- [j1]Sheng Di, Cho-Li Wang:
Decentralized proactive resource allocation for maximizing throughput of P2P Grid. J. Parallel Distributed Comput. 72(2): 308-321 (2012) - [c13]Sheng Di, Derrick Kondo, Walfredo Cirne:
Characterization and Comparison of Cloud versus Grid Workloads. CLUSTER 2012: 230-238 - [c12]Sheng Di, Derrick Kondo, Walfredo Cirne:
Host load prediction in a Google compute cloud with a Bayesian model. SC 2012: 21 - 2011
- [b1]Sheng Di:
Optimal divisible resource allocation for self-organizing cloud. University of Hong Kong, 2011 - [c11]Sheng Di, Cho-Li Wang, Luwei Cheng, Ling Chen:
Social-optimized win-win resource allocation for Self-organizing Cloud. CDC 2011: 251-258 - [c10]Zheming Xu, Sheng Di, Weida Zhang, Luwei Cheng, Cho-Li Wang:
WAVNet: Wide-Area Network Virtualization Technique for Virtual Private Cloud. ICPP 2011: 285-294 - [c9]Sheng Di, Cho-Li Wang, Weida Zhang, Luwei Cheng:
Probabilistic Best-Fit Multi-dimensional Range Query in Self-Organizing Cloud. ICPP 2011: 763-772 - [c8]Luwei Cheng, Cho-Li Wang, Sheng Di:
Defeating Network Jitter for Virtual Machines. UCC 2011: 65-72 - 2010
- [c7]Sheng Di, Cho-Li Wang:
Conflict-minimizing dynamic load balancing for P2P desktop Grid. GRID 2010: 137-144 - [c6]Sheng Di, Cho-Li Wang:
Dual-Phase Just-in-Time Workflow Scheduling in P2P Grid Systems. ICPP 2010: 238-247
2000 – 2009
- 2008
- [c5]Ling Chen, Hai Jin, Sheng Di:
A Semantic Double-Buffer Based Approach to Enhance Semantic Web Search. ICDS 2008: 111-116 - 2007
- [c4]Sheng Di, Hai Jin, Shengli Li, Ling Chen, Li Qi, Chengwei Wang:
Ontology Based Grid Information Interoperation. AINA Workshops (1) 2007: 91-96 - [c3]Chuanjiang Yi, Hai Jin, Sheng Di:
A Composite-Service Authorization Prediction Platform for Grid Environment. CDVE 2007: 217-225 - [c2]Sheng Di, Hai Jin, Shengli Li, Jing Tie, Ling Chen:
Efficient Time Series Data Classification and Compression in Distributed Monitoring. PAKDD Workshops 2007: 389-400 - 2006
- [c1]Sheng Di, Hai Jin, Shengli Li, Ling Chen, Chengwei Wang:
GlobalWatch: A Distributed Service Grid Monitoring Platform with High Flexibility and Usability. APSCC 2006: 440-446
Coauthor Index
Leonardo Arturo Bautista-Gomez
aka: Leonardo Bautista-Gomez
aka: Leonardo Bautista-Gomez
Jon Calhoun 0001
aka: Jon C. Calhoun
aka: Jon C. Calhoun
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