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Nathan DeBardeleben
Nathan DeBardeleben
Research Scientist, Los Alamos National Laboratory
Verified email at lanl.gov
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Year
Addressing failures in exascale computing
M Snir, RW Wisniewski, JA Abraham, SV Adve, S Bagchi, P Balaji, J Belak, ...
The International Journal of High Performance Computing Applications 28 (2 …, 2014
5192014
Memory errors in modern systems: The good, the bad, and the ugly
V Sridharan, N DeBardeleben, S Blanchard, KB Ferreira, J Stearley, ...
ACM SIGARCH Computer Architecture News 43 (1), 297-310, 2015
3722015
Feng shui of supercomputer memory: Positional effects in DRAM and SRAM faults
V Sridharan, J Stearley, N DeBardeleben, S Blanchard, S Gurumurthi
Proceedings of the International Conference on High Performance Computing …, 2013
2342013
Understanding GPU errors on large-scale HPC systems and the implications for system design and operation
D Tiwari, S Gupta, J Rogers, D Maxwell, P Rech, S Vazhkudai, D Oliveira, ...
2015 IEEE 21st International Symposium on High Performance Computer …, 2015
1852015
On the diversity of cluster workloads and its impact on research results
G Amvrosiadis, JW Park, GR Ganger, GA Gibson, E Baseman, ...
2018 USENIX Annual Technical Conference (USENIX ATC 18), 533-546, 2018
1432018
BinFI an efficient fault injector for safety-critical machine learning systems
Z Chen, G Li, K Pattabiraman, N DeBardeleben
Proceedings of the International Conference for High Performance Computing …, 2019
1072019
High-end computing resilience: Analysis of issues facing the HEC community and path-forward for research and development
N DeBardeleben, J Laros, JT Daly, SL Scott, C Engelmann, B Harrod
Whitepaper, Dec, 2009
882009
F-SEFI: A Fine-Grained Soft Error Fault Injection Tool for Profiling Application Vulnerability
Q Guan, N Debardeleben, S Blanchard, S Fu
Proceedings of the 2014 IEEE 28th International Parallel and Distributed …, 2014
872014
GPGPUs: How to Combine High Computational Power with High Reliability
LB Gomez, F Cappello, L Carro, N DeBardeleben, B Fang, S Gurumurthi, ...
832014
Tensorfi: A flexible fault injection framework for tensorflow applications
Z Chen, N Narayanan, B Fang, G Li, K Pattabiraman, N DeBardeleben
2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020
672020
Tensorfi: A configurable fault injector for tensorflow applications
G Li, K Pattabiraman, N DeBardeleben
2018 IEEE International symposium on software reliability engineering …, 2018
672018
Experimental and analytical study of xeon phi reliability
D Oliveira, L Pilla, N DeBardeleben, S Blanchard, H Quinn, I Koren, ...
Proceedings of the International Conference for High Performance Computing …, 2017
622017
Impact of sub-optimal checkpoint intervals on application efficiency in computational clusters
WM Jones, JT Daly, N DeBardeleben
Proceedings of the 19th ACM International Symposium on High Performance …, 2010
582010
Towards practical algorithm based fault tolerance in dense linear algebra
P Wu, Q Guan, N DeBardeleben, S Blanchard, D Tao, X Liang, J Chen, ...
Proceedings of the 25th ACM International Symposium on High-Performance …, 2016
512016
Application monitoring and checkpointing in hpc: looking towards exascale systems
WM Jones, JT Daly, N DeBardeleben
Proceedings of the 50th Annual Southeast Regional Conference, 262-267, 2012
462012
Inter-agency workshop on hpc resilience at extreme scale
J Daly, B Harrod, T Hoang, L Nowell, B Adolf, S Borkar, N DeBardeleben, ...
National Security Agency Advanced Computing Systems, 2012
442012
GPU behavior on a large HPC cluster
N DeBardeleben, S Blanchard, L Monroe, P Romero, D Grunau, C Idler, ...
Euro-Par 2013: Parallel Processing Workshops: BigDataCloud, DIHC, FedICI …, 2014
432014
Lessons learned from memory errors observed over the lifetime of Cielo
S Levy, KB Ferreira, N DeBardeleben, T Siddiqua, V Sridharan, ...
SC18: International Conference for High Performance Computing, Networking …, 2018
382018
Developing scientific applications using eclipse
GR Watson, NA DeBardeleben
Computing in Science & Engineering 8 (4), 50-61, 2006
362006
TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs
J Chen, N Xiong, X Liang, D Tao, S Li, K Ouyang, K Zhao, ...
Proceedings of the ACM International Conference on Supercomputing, 106-116, 2019
352019
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