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Sean Blanchard
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2020 – today
- 2021
- [j3]Daniel Oliveira, Sean Blanchard, Nathan DeBardeleben, Fernando Fernandes dos Santos, Gabriel Piscoya Dávila, Philippe O. A. Navaux, Andrea Favalli, Opale Schappert, Stephen Wender, Carlo Cazzaniga, Christopher Frost, Paolo Rech:
Thermal neutrons: a possible threat for supercomputer reliability. J. Supercomput. 77(2): 1612-1634 (2021) - [c30]Kurt B. Ferreira, Scott Levy, Victor Kuhns, Nathan DeBardeleben, Sean Blanchard:
Understanding the Effects of DRAM Correctable Error Logging at Scale. CLUSTER 2021: 421-432 - [c29]Da Zhang, Gagandeep Panwar, Jagadish B. Kotra, Nathan DeBardeleben, Sean Blanchard, Xun Jian:
Quantifying Server Memory Frequency Margin and Using It to Improve Performance in HPC Systems. ISCA 2021: 748-761 - 2020
- [c28]Daniel Oliveira, Sean Blanchard, Nathan DeBardeleben, Fermando Santos, Gabriel Piscoya Dávila, Philippe Olivier Alexandre Navaux, Stephen Wender, Carlo Cazzaniga, Christopher Frost, Robert C. Baumann, Paolo Rech:
An Overview of the Risk Posed by Thermal Neutrons to the Reliability of Computing Devices. DSN (Supplements) 2020: 92-97 - [c27]Daniel Oliveira, Sean Blanchard, Nathan DeBardeleben, Fernando Fernandes dos Santos, Gabriel Piscoya Dávila, Philippe O. A. Navaux, Carlo Cazzaniga, Christopher Frost, Robert C. Baumann, Paolo Rech:
Thermal Neutrons: a Possible Threat for Supercomputers and Safety Critical Applications. ETS 2020: 1-6
2010 – 2019
- 2019
- [c26]Zongze Li, Song Fu, Sean Blanchard, Michael Lang:
Topology-Aware Event Sequence Mining for Understanding HPC System Behavior and Detecting Anomalies. HPCC/SmartCity/DSS 2019: 2270-2277 - [c25]Claire McKay Bowen, Nathan DeBardeleben, Sean Blanchard, Christine M. Anderson-Cook:
Do Solar Proton Events Reduce the Number of Faults in Supercomputers?: A Comparative Analysis of Faults During and without Solar Proton Events. IRPS 2019: 1-5 - 2018
- [j2]Li Tan, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Michael Lang:
Using virtualization to quantify power conservation via near-threshold voltage reduction for inherently resilient applications. Parallel Comput. 73: 3-15 (2018) - [c24]Zongze Li, Matthew Davidson, Song Fu, Sean Blanchard, Michael Lang:
Converting Unstructured System Logs into Structured Event List for Anomaly Detection. ARES 2018: 15:1-15:10 - [c23]Elisabeth Baseman, Nathan DeBardeleben, Sean Blanchard, Juston S. Moore, Olena Tkachenko, Kurt B. Ferreira, Taniya Siddiqua, Vilas Sridharan:
Physics-Informed Machine Learning for DRAM Error Modeling. DFT 2018: 1-6 - [c22]Zongze Li, Matthew Davidson, Song Fu, Sean Blanchard, Michael Lang:
Event Block Identification and Analysis for Effective Anomaly Detection to Build Reliable HPC Systems. HPCC/SmartCity/DSS 2018: 781-788 - [c21]Megan Hickman, Dakota Fulp, Elisabeth Baseman, Sean Blanchard, Hugh Greenberg, William M. Jones, Nathan DeBardeleben:
Enhancing HPC System Log Analysis by Identifying Message Origin in Source Code. ISSRE Workshops 2018: 100-105 - [c20]Alexandra Poulos, Dylan Wallace, Robert Robey, Laura Monroe, Vanessa Job, Sean Blanchard, William M. Jones, Nathan DeBardeleben:
Improving Application Resilience by Extending Error Correction with Contextual Information. FTXS@SC 2018: 19-28 - [c19]Neil Agarwal, Hugh Greenberg, Sean Blanchard, Nathan DeBardeleben:
SaNSA - The Supercomputer and Node State Architecture. FTXS@SC 2018: 69-78 - 2017
- [j1]Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu:
Addressing statistical significance of fault injection: empirical studies of the soft error susceptibility. Int. J. High Perform. Comput. Netw. 10(4/5): 436-452 (2017) - [c18]Li Tan, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Michael Lang:
RSVP: Soft Error Resilient Power Savings at Near-Threshold Voltage Using Register Vulnerability. DSN Workshops 2017: 91-98 - [c17]Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Kaiming Ouyang, Zizhong Chen:
Silent Data Corruption Resilient Two-sided Matrix Factorizations. PPoPP 2017: 415-427 - [c16]Daniel Oliveira, Laércio Lima Pilla, Nathan DeBardeleben, Sean Blanchard, Heather Quinn, Israel Koren, Philippe O. A. Navaux, Paolo Rech:
Experimental and analytical study of Xeon Phi reliability. SC 2017: 28 - 2016
- [c15]Bo Fang, Panruo Wu, Qiang Guan, Nathan DeBardeleben, Laura Monroe, Sean Blanchard, Zhizong Chen, Karthik Pattabiraman, Matei Ripeanu:
SDC is in the Eye of the Beholder: A Survey and Preliminary Study. DSN Workshops 2016: 72-76 - [c14]Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen:
Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra. HPDC 2016: 31-42 - [c13]Elisabeth Baseman, Sean Blanchard, Zongze Li, Song Fu:
Relational Synthesis of Text and Numeric Data for Anomaly Detection on Computing System Logs. ICMLA 2016: 882-885 - [c12]Qiang Guan, Nathan DeBardeleben, Panruo Wu, Stephan J. Eidenbenz, Sean Blanchard, Laura Monroe, Elisabeth Baseman, Li Tan:
Design, Use and Evaluation of P-FSEFI: A Parallel Soft Error Fault Injection Framework for Emulating Soft Errors in Parallel Applications. SimuTools 2016: 9-17 - 2015
- [c11]Vilas Sridharan, Nathan DeBardeleben, Sean Blanchard, Kurt B. Ferreira, Jon Stearley, John Shalf, Sudhanva Gurumurthi:
Memory Errors in Modern Systems: The Good, The Bad, and The Ugly. ASPLOS 2015: 297-310 - [c10]Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu:
Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection. FTXS@HPDC 2015: 35-40 - [c9]Nathan DeBardeleben, Sean Blanchard, David R. Kaeli, Paolo Rech:
Field, experimental, and analytical data on large-scale HPC systems and evaluation of the implications for exascale system design. VTS 2015: 1-2 - 2014
- [c8]Bin Huang, Ron Sass, Nathan DeBardeleben, Sean Blanchard:
Harnessing Unreliable Cores in Heterogeneous Architecture: The PyDac Programming Model and Runtime. DSN 2014: 744-749 - [c7]Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu:
F-SEFI: A Fine-Grained Soft Error Fault Injection Tool for Profiling Application Vulnerability. IPDPS 2014: 1245-1254 - 2013
- [c6]Nathan DeBardeleben, Sean Blanchard, Laura Monroe, Philip Romero, Daryl Grunau, Craig Idler, Cornell Wright:
GPU Behavior on a Large HPC Cluster. Euro-Par Workshops 2013: 680-689 - [c5]Bin Huang, Ron Sass, Nathan DeBardeleben, Sean Blanchard:
PyDac: A Resilient Run-Time Framework for Divide-and-Conquer Applications on a Heterogeneous Many-Core Architecture. Euro-Par Workshops 2013: 845-854 - [c4]Xun Jian, Nathan DeBardeleben, Sean Blanchard, Vilas Sridharan, Rakesh Kumar:
Analyzing Reliability of Memory Sub-systems with Double-Chipkill Detect/Correct. PRDC 2013: 88-97 - [c3]Qiang Guan, Song Fu, Nathan DeBardeleben, Sean Blanchard:
Exploring Time and Frequency Domains for Accurate and Automated Anomaly Detection in Cloud Computing Systems. PRDC 2013: 196-205 - [c2]Vilas Sridharan, Jon Stearley, Nathan DeBardeleben, Sean Blanchard, Sudhanva Gurumurthi:
Feng shui of supercomputer memory: positional effects in DRAM and SRAM faults. SC 2013: 22:1-22:11 - 2011
- [c1]Nathan DeBardeleben, Sean Blanchard, Qiang Guan, Ziming Zhang, Song Fu:
Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience. Euro-Par Workshops (2) 2011: 282-291
Coauthor Index
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