Franck Cappello

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 182

Top Venues

CoRR

CLUSTER

IPDPS

IEEE Trans. Parallel Distributed Syst.

Publications

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) (2024)
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)
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)
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)
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)
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)
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)
Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. CoRR (2024)
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)
Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers. CoRR (2024)
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 (2024)
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 (2024)
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)
Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets. CoRR (2024)
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 (2023)
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)
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 (2023)
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)
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets. CoRR (2023)
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) (2023)
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) (2023)
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)
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 (2023)
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)
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 (2023)
Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello
Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. ICDCS (2023)
Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello
Lightweight Huffman Coding for Efficient GPU Compression. ICS (2023)
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)
Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello
Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. HiPC (2023)
Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Franck Cappello
Towards Efficient I/O Pipelines Using Accumulated Compression. HiPC (2023)
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)
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 (2023)
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 (2023)
Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression. CoRR (2023)
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 (2023)
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)
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) (2023)
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 (2023)
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 (2023)
Kazutomo Yoshii, Tomohiro Ueno, Kentaro Sano, Antonino Miceli, Franck Cappello
Streaming Hardware Compressor Generator Framework. SC Workshops (2023)
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. BigData (2023)
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. BigData (2023)
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 (2023)
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)
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)
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)
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)
Avinash Maurya, M. Mustafa Rafique, Thierry Tonellot, Hussain J. AlSalem, Franck Cappello, Bogdan Nicolae
GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching. HPDC (2023)
Nigel Tan, Jakob Lüttgau, Jack Marquez, Keita Teranishi, Nicolas Morales, Sanjukta Bhowmick, Franck Cappello, Michela Taufer, Bogdan Nicolae
Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication. ICPP (2023)
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)
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)
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 (2022)
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) (2022)
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) (2022)
Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello
Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression. CLUSTER (2022)
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)
Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. IPDPS (2022)
Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon C. Calhoun, Franck Cappello
Efficient Error-Bounded Lossy Compression for CPU Architectures. MASCOTS (2022)
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)
Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. ICDE (2022)
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 (2022)
Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. CoRR (2022)
Franck Cappello
A Reflection on Methodologies, Algorithms and Software for HPDC. HPDC (2022)
Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
Hardening selective protection across multiple program inputs for HPC applications. PPoPP (2022)
Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. SC (2022)
Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
Ultrafast Error-bounded Lossy Compression for Scientific Datasets. HPDC (2022)
Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Amr M. Elsayed, Thierry Tonellot, Franck Cappello
Towards Efficient Cache Allocation for High-Frequency Checkpointing. HIPC (2022)
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)
Robert Underwood, Chun Hong Yoon, Ali Murat Gok, Sheng Di, Franck Cappello
ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography. CoRR (2022)
Robert Underwood, Julie Bessac, Sheng Di, Franck Cappello
Understanding the Effects of Modern Compressors on the Community Earth Science Model. DRBSD@SC (2022)
Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. ICDE (2022)
Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon Calhoun, Franck Cappello
SIMD Lossy Compression for Scientific Data. CoRR (2022)
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) (2022)
Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello
Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems. ICS (2022)
Nicolas Morales, Keita Teranishi, Bogdan Nicolae, Christian Trott, Franck Cappello
Towards High Performance Resilience Using Performance Portable Abstractions. Euro-Par (2021)
Hongyuan Liu, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog
Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. CLUSTER (2021)
Bogdan Nicolae, Adam Moody, Gregory Kosinovsky, Kathryn Mohror, Franck Cappello
VELOC: VEry Low Overhead Checkpointing in the Age of Exascale. CoRR (2021)
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)
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 (2021)
Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello
Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data. HPEC (2021)
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)
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)
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 (2021)
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)
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)
Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun, Franck Cappello, Melissa C. Smith
Towards Aggregated Asynchronous Checkpointing. CoRR (2021)
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)
Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling. CoRR (2021)
Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello
Productive and Performant Generic Lossy Data Compression with LibPressio. DRBSD@SC (2021)
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)
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) (2021)
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)
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) (2021)
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)
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 (2021)
Shu-Mei Tseng, Bogdan Nicolae, Franck Cappello, Aparna Chandramowlishwaran
Demystifying asynchronous I/O Interference in HPC applications. Int. J. High Perform. Comput. Appl. 35 (4) (2021)
Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Thierry Tonellot, Franck Cappello
Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. MASCOTS (2021)
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Resilient error-bounded lossy compressor for data transfer. SC (2021)
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 (2021)
Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello, Edward Chuah
Sentiment Analysis based Error Detection for Large-Scale Systems. DSN (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Franck Cappello