| 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 | 534 | 2014 |
| 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 | 390 | 2015 |
| 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 | 243 | 2013 |
| 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 | 202 | 2015 |
| 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 | 161 | 2018 |
| 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 | 119 | 2019 |
| 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 | 89 | 2014 |
| 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 | 88 | 2009 |
| GPGPUs: How to Combine High Computational Power with High Reliability LB Gomez, F Cappello, L Carro, N DeBardeleben, B Fang, S Gurumurthi, ... | 87 | 2014 |
| 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 | 79 | 2020 |
| Tensorfi: A configurable fault injector for tensorflow applications G Li, K Pattabiraman, N DeBardeleben 2018 IEEE International symposium on software reliability engineering …, 2018 | 73 | 2018 |
| 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 | 62 | 2017 |
| 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 | 58 | 2010 |
| 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 | 53 | 2016 |
| 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 | 49 | 2012 |
| 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 | 45 | 2012 |
| 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 | 44 | 2018 |
| 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 | 44 | 2014 |
| 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 | 42 | 2019 |
| Interpretable anomaly detection for monitoring of high performance computing systems E Baseman, S Blanchard, N DeBardeleben, A Bonnie, A Morrow Outlier Definition, Detection, and Description on Demand Workshop at ACM …, 2016 | 37 | 2016 |
Qiang GuanKent State UniversityDirección de correo verificada de cs.kent.edu