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Franck Cappello
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- affiliation: University of Illinois, INRIA-Illinois Joint Laboratory on PetaScale Computing
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2020 – today
- 2023
- [j68]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - 2022
- [j67]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) - [j66]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) - [j65]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) - [c186]Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello:
Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression. CLUSTER 2022: 23-34 - [c185]Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Amr M. Elsayed, Thierry Tonellot, Franck Cappello:
Towards Efficient Cache Allocation for High-Frequency Checkpointing. HIPC 2022: 262-271 - [c184]Franck Cappello:
A Reflection on Methodologies, Algorithms and Software for HPDC. HPDC 2022: 2 - [c183]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 - [c182]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 - [c181]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 - [c180]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 - [c179]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 - [c178]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 - [c177]Yafan Huang
, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello:
Hardening selective protection across multiple program inputs for HPC applications. PPoPP 2022: 437-438 - [c176]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 - [c175]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 - [c174]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 - [c173]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 - [c172]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 - [i30]Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon Calhoun, Franck Cappello:
SIMD Lossy Compression for Scientific Data. CoRR abs/2201.04614 (2022) - [i29]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) - [i28]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) - [i27]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) - [i26]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
- [j64]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) - [j63]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) - [j62]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) - [c171]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 - [c170]Hongyuan Liu
, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog:
Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. CLUSTER 2021: 82-93 - [c169]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 - [c168]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 - [c167]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 - [c166]Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello, Edward Chuah:
Sentiment Analysis based Error Detection for Large-Scale Systems. DSN 2021: 237-249 - [c165]Nicolas Morales, Keita Teranishi, Bogdan Nicolae, Christian Trott, Franck Cappello:
Towards High Performance Resilience Using Performance Portable Abstractions. Euro-Par 2021: 451-465 - [c164]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 - [c163]Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello:
Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data. HPEC 2021: 1-7 - [c162]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 - [c161]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 - [c160]Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Thierry Tonellot, Franck Cappello:
Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. MASCOTS 2021: 1-8 - [c159]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 - [c158]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 - [c157]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 - [c156]Sihuan Li, Sheng Di, Kai Zhao
, Xin Liang, Zizhong Chen, Franck Cappello:
Resilient error-bounded lossy compressor for data transfer. SC 2021: 94 - [i25]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) - [i24]Bogdan Nicolae, Adam Moody, Gregory Kosinovsky, Kathryn Mohror, Franck Cappello:
VELOC: VEry Low Overhead Checkpointing in the Age of Exascale. CoRR abs/2103.02131 (2021) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun, Franck Cappello, Melissa C. Smith:
Towards Aggregated Asynchronous Checkpointing. CoRR abs/2112.02289 (2021) - 2020
- [j61]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) - [c155]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 - [c154]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 - [c153]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 - [c152]Bogdan Nicolae, Jiali Li
, Justin M. Wozniak, George Bosilca, Matthieu Dorier, Franck Cappello:
DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models. CCGRID 2020: 172-181 - [c151]Bogdan Nicolae, Justin M. Wozniak, Matthieu Dorier, Franck Cappello:
DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training. CLUSTER 2020: 226-236 - [c150]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 - [c149]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 - [c148]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 - [c147]Tonmoy Dey, Kento Sato, Bogdan Nicolae, Jian Guo, Jens Domke, Weikuan Yu
, Franck Cappello, Kathryn Mohror:
Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. IPDPS Workshops 2020: 1036-1043 - [c146]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 - [c145]Franck Cappello, Sheng Di, Ali Murat Gok:
Fulfilling the Promises of Lossy Compression for Scientific Applications. SMC 2020: 99-116 - [i18]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) - [i17]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) - [i16]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) - [i15]Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
SDC Resilient Error-bounded Lossy Compressor. CoRR abs/2010.03144 (2020) - [i14]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
- [j60]Jon C. Calhoun, Franck Cappello, Luke N. Olson, Marc Snir, William D. Gropp:
Exploring the feasibility of lossy compression for PDE simulations. Int. J. High Perform. Comput. Appl. 33(2) (2019) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [c144]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 - [c143]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 - [c142]Shu-Mei Tseng, Bogdan Nicolae, George Bosilca, Emmanuel Jeannot, Aparna Chandramowlishwaran
, Franck Cappello:
Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring. Euro-Par 2019: 47-60 - [c141]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 - [c140]Bogdan Nicolae
, Adam Moody, Elsa Gonsiorowski, Kathryn Mohror, Franck Cappello:
VeloC: Towards High Performance Adaptive Asynchronous Checkpointing at Large Scale. IPDPS 2019: 911-920 - [c139]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 - [c138]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 - [c137]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 - [c136]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 - [i13]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
- [j54]Rajkumar Kettimuthu, Zhengchun Liu
, David Wheeler, Ian T. Foster
, Katrin Heitmann, Franck Cappello:
Transferring a petabyte in a day. Future Gener. Comput. Syst. 88: 191-198 (2018) - [j53]Mark Asch, Terry Moore, Rosa M. Badia
, Micah Beck, Peter H. Beckman, T. Bidot, François Bodin, Franck Cappello, Alok N. Choudhary, Bronis R. de Supinski, Ewa Deelman, Jack J. Dongarra
, Anshu Dubey
, Geoffrey C. Fox, H. Fu, Sergi Girona
, William Gropp
, Michael A. Heroux, Yutaka Ishikawa, Katarzyna Keahey, David E. Keyes, Bill Kramer, J.-F. Lavignon, Y. Lu, Satoshi Matsuoka, Bernd Mohr, Daniel A. Reed, S. Requena, Joel H. Saltz, Thomas C. Schulthess, Rick L. Stevens, D. Martin Swany, Alexander S. Szalay, William M. Tang, G. Varoquaux, Jean-Pierre Vilotte
, Robert W. Wisniewski, Z. Xu, Igor Zacharov
:
Big data and extreme-scale computing. Int. J. High Perform. Comput. Appl. 32(4): 435-479 (2018) - [j52]Omer Subasi, Tatiana V. Martsinkevich, Ferad Zyulkyarov
, Osman S. Unsal, Jesús Labarta, Franck Cappello:
Unified fault-tolerance framework for hybrid task-parallel message-passing applications. Int. J. High Perform. Comput. Appl. 32(5): 641-657 (2018) - [j51]Anne Benoit
, Aurélien Cavelan, Franck Cappello, Padma Raghavan, Yves Robert, Hongyang Sun
:
Coping with silent and fail-stop errors at scale by combining replication and checkpointing. J. Parallel Distributed Comput. 122: 209-225 (2018) - [j50]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) - [j49]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) - [c135]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 - [c134]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 - [c133]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 - [c132]Chen Wang
, Nikoli Dryden, Franck Cappello, Marc Snir:
Neural Network Based Silent Error Detector. CLUSTER 2018: 168-178 - [c131]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 - [c130]Dingwen Tao
, Sheng Di, Xin Liang, Zizhong Chen
, Franck Cappello:
Fixed-PSNR Lossy Compression for Scientific Data. CLUSTER 2018: 314-318 - [c129]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 - [c128]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 - [c127]Dingwen Tao
, Sheng Di, Xin Liang, Zizhong Chen
, Franck Cappello:
Improving performance of iterative methods by lossy checkponting. HPDC 2018: 52-65 - [c126]Franck Cappello:
CEBDA 2018 Keynote. IPDPS Workshops 2018: 1205 - [c125]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 - [i12]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Improving Performance of Iterative Methods by Lossy Checkponting. CoRR abs/1804.11268 (2018) - [i11]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Fixed-PSNR Lossy Compression for Scientific Data. CoRR abs/1805.07384 (2018) - [i10]