Articles with public access mandates - Franck CappelloLearn more
Not available anywhere: 10
Adaptive impact-driven detection of silent data corruption for HPC applications
S Di, F Cappello
IEEE Transactions on Parallel and Distributed Systems 27 (10), 2809-2823, 2016
Mandates: US Department of Energy
Detecting and correcting data corruption in stencil applications through multivariate interpolation
L Bautista-Gomez, F Cappello
2015 IEEE International Conference on Cluster Computing, 595-602, 2015
Mandates: US Department of Energy
An efficient silent data corruption detection method with error-feedback control and even sampling for HPC applications
S Di, E Berrocal, F Cappello
2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015
Mandates: US Department of Energy
Exploiting spatial smoothness in HPC applications to detect silent data corruption
L Bautista-Gomez, F Cappello
2015 IEEE 17th International Conference on High Performance Computing and …, 2015
Mandates: US Department of Energy
Optimizing lossy compression with adjacent snapshots for n-body simulation data
S Li, S Di, X Liang, Z Chen, F Cappello
2018 IEEE International Conference on Big Data (Big Data), 428-437, 2018
Mandates: US National Science Foundation, US Department of Energy
Fulfilling the promises of lossy compression for scientific applications
F Cappello, S Di, AM Gok
Driving Scientific and Engineering Discoveries Through the Convergence of …, 2020
Mandates: US National Science Foundation, US Department of Energy
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data
J Liu, S Di, K Zhao, X Liang, Z Chen, F Cappello
Proceedings of the 37th International Conference on Supercomputing, 1-13, 2023
Mandates: US National Science Foundation, US Department of Energy
Towards end-to-end sdc detection for hpc applications equipped with lossy compression
S Li, S Di, K Zhao, X Liang, Z Chen, F Cappello
2020 IEEE International Conference on Cluster Computing (CLUSTER), 326-336, 2020
Mandates: US National Science Foundation, US Department of Energy
Lightweight Huffman Coding for Efficient GPU Compression
M Shah, X Yu, S Di, M Becchi, F Cappello
Proceedings of the 37th International Conference on Supercomputing, 99-110, 2023
Mandates: US National Science Foundation, US Department of Energy
Addressing the last roadblock for message logging in HPC: Alleviating the memory requirement using dedicated resources
T Martsinkevich, T Ropars, F Cappello
Euro-Par 2015: Parallel Processing Workshops: Euro-Par 2015 International …, 2015
Mandates: US Department of Energy
Available somewhere: 132
Fast error-bounded lossy HPC data compression with SZ
S Di, F Cappello
2016 ieee international parallel and distributed processing symposium (ipdps …, 2016
Mandates: US Department of Energy
Significantly improving lossy compression for scientific data sets based on multidimensional prediction and error-controlled quantization
D Tao, S Di, Z Chen, F Cappello
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
Mandates: US Department of Energy
Error-controlled lossy compression optimized for high compression ratios of scientific datasets
X Liang, S Di, D Tao, S Li, S Li, H Guo, Z Chen, F Cappello
2018 IEEE International Conference on Big Data (Big Data), 438-447, 2018
Mandates: US National Science Foundation, US Department of Energy
Big data and extreme-scale computing: Pathways to convergence-toward a shaping strategy for a future software and data ecosystem for scientific inquiry
M Asch, T Moore, R Badia, M Beck, P Beckman, T Bidot, F Bodin, ...
The International Journal of High Performance Computing Applications 32 (4 …, 2018
Mandates: US National Science Foundation, US Department of Energy
Use cases of lossy compression for floating-point data in scientific data sets
F Cappello, S Di, S Li, X Liang, AM Gok, D Tao, CH Yoon, XC Wu, ...
The International Journal of High Performance Computing Applications 33 (6 …, 2019
Mandates: US National Science Foundation, US Department of Energy
Scheduling the I/O of HPC applications under congestion
A Gainaru, G Aupy, A Benoit, F Cappello, Y Robert, M Snir
2015 IEEE International Parallel and Distributed Processing Symposium, 1013-1022, 2015
Mandates: US Department of Energy
Full-state quantum circuit simulation by using data compression
XC Wu, S Di, EM Dasgupta, F Cappello, H Finkel, Y Alexeev, FT Chong
Proceedings of the International Conference for High Performance Computing …, 2019
Mandates: US National Science Foundation, US Department of Energy
FT-CNN: Algorithm-based fault tolerance for convolutional neural networks
K Zhao, S Di, S Li, X Liang, Y Zhai, J Chen, K Ouyang, F Cappello, ...
IEEE Transactions on Parallel and Distributed Systems 32 (7), 1677-1689, 2020
Mandates: US National Science Foundation, US Department of Energy
Optimizing error-bounded lossy compression for scientific data by dynamic spline interpolation
K Zhao, S Di, M Dmitriev, TLD Tonellot, Z Chen, F Cappello
2021 IEEE 37th International Conference on Data Engineering (ICDE), 1643-1654, 2021
Mandates: US National Science Foundation, US Department of Energy
Optimization of cloud task processing with checkpoint-restart mechanism
S Di, Y Robert, F Vivien, D Kondo, CL Wang, F Cappello
Proceedings of the International Conference on High Performance Computing …, 2013
Mandates: Research Grants Council, Hong Kong
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