Parallelization Techniques for Spatial-Temporal Occupancy Maps from Multiple Video Streams. - Nathan DeBardeleben; Adam W. Hoover; William M. Jones; Walter B. Ligon III (IPDPS Workshops, 2000)

Coven - A Framework for High Performance Problem Solving Environments. - Nathan DeBardeleben; Walter B. Ligon III; Sourabh Pandit; Daniel C. Stanzione Jr. (HPDC, 2002)

Arches: An Infrastructure for PSE Development. - Nathan DeBardeleben; Walter B. Ligon III; Ron Sass (HIPS, 2004)

A Model-Based Framework for the Integration of Parallel Tools. - Gregory R. Watson; Nathan DeBardeleben (CLUSTER, 2006)

Developing Scientific Applications Using Eclipse. - Gregory R. Watson; Nathan DeBardeleben (Comput. Sci. Eng., 2006)

Application Resilience: Making Progress in Spite of Failure. - William M. Jones; John T. Daly; Nathan DeBardeleben (CCGRID, 2008)

Building problem-solving environments with the Arches framework. - Nathan DeBardeleben; Ron Sass; Daniel C. Stanzione Jr.; Walter B. Ligon III (J. Syst. Softw., 2009)

1st workshop on fault-tolerance for HPC at extreme scale FTXS 2010. - John T. Daly; Nathan DeBardeleben (DSN, 2010)

Impact of sub-optimal checkpoint intervals on application efficiency in computational clusters. - William M. Jones; John T. Daly; Nathan DeBardeleben (HPDC, 2010)

Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience. - Nathan DeBardeleben; Sean Blanchard; Qiang Guan; Ziming Zhang; Song Fu (Euro-Par Workshops (2), 2011)

Application monitoring and checkpointing in HPC: looking towards exascale systems. - William M. Jones; John T. Daly; Nathan DeBardeleben (ACM Southeast Regional Conference, 2012)

GPU Behavior on a Large HPC Cluster. - Nathan DeBardeleben; Sean Blanchard; Laura Monroe; Philip Romero; Daryl Grunau; Craig Idler; Cornell Wright (Euro-Par Workshops, 2013)

PyDac: A Resilient Run-Time Framework for Divide-and-Conquer Applications on a Heterogeneous Many-Core Architecture. - Bin Huang; Ron Sass; Nathan DeBardeleben; Sean Blanchard (Euro-Par Workshops, 2013)

Exploring Time and Frequency Domains for Accurate and Automated Anomaly Detection in Cloud Computing Systems. - Qiang Guan; Song Fu; Nathan DeBardeleben; Sean Blanchard (PRDC, 2013)

Analyzing Reliability of Memory Sub-systems with Double-Chipkill Detect/Correct. - Xun Jian 002; Nathan DeBardeleben; Sean Blanchard; Vilas Sridharan; Rakesh Kumar 002 (PRDC, 2013)

Feng shui of supercomputer memory: positional effects in DRAM and SRAM faults. - Vilas Sridharan; Jon Stearley; Nathan DeBardeleben; Sean Blanchard; Sudhanva Gurumurthi (SC, 2013)

GPGPUs: How to combine high computational power with high reliability. - Leonardo Arturo Bautista-Gomez; Franck Cappello; Luigi Carro; Nathan DeBardeleben; Bo Fang 002; Sudhanva Gurumurthi; Karthik Pattabiraman; Paolo Rech; Matteo Sonza Reorda (DATE, 2014)

Harnessing Unreliable Cores in Heterogeneous Architecture: The PyDac Programming Model and Runtime. - Bin Huang; Ron Sass; Nathan DeBardeleben; Sean Blanchard (DSN, 2014)

F-SEFI: A Fine-Grained Soft Error Fault Injection Tool for Profiling Application Vulnerability. - Qiang Guan; Nathan DeBardeleben; Sean Blanchard; Song Fu (IPDPS, 2014)

Fault Injection Experiments with the CLAMR Hydrodynamics Mini-App. - Brian Atkinson; Nathan DeBardeleben; Qiang Guan; Robert W. Robey; William M. Jones (ISSRE Workshops, 2014)

An investigation of the effects of hard and soft errors on graphics processing unit-accelerated molecular dynamics simulations. - Robin M. Betz; Nathan DeBardeleben; Ross C. Walker (Concurr. Comput. Pract. Exp., 2014)

Addressing failures in exascale computing. - Marc Snir; Robert W. Wisniewski; Jacob A. Abraham; Sarita V. Adve; Saurabh Bagchi; Pavan Balaji; James F. Belak; Pradip Bose; Franck Cappello; Bill Carlson; Andrew A. Chien; Paul Coteus; et al. (Int. J. High Perform. Comput. Appl., 2014)

Memory Errors in Modern Systems: The Good, The Bad, and The Ugly. - Vilas Sridharan; Nathan DeBardeleben; Sean Blanchard; Kurt B. Ferreira; Jon Stearley; John Shalf; Sudhanva Gurumurthi (ASPLOS, 2015)

Towards Building Resilient Scientific Applications: Resilience Analysis on the Impact of Soft Error and Transient Error Tolerance with the CLAMR Hydrodynamics Mini-App. - Qiang Guan; Nathan DeBardeleben; Brian Atkinson; Robert W. Robey; William M. Jones (CLUSTER, 2015)

On the Non-Suitability of Non-Volatility. - John Bent; Brad Settlemyer; Nathan DeBardeleben; Sorin Faibish; Dennis Ting; Uday Gupta; Percy Tzelnic (HotStorage, 2015)

Understanding GPU errors on large-scale HPC systems and the implications for system design and operation. - Devesh Tiwari; Saurabh Gupta 002; James H. Rogers; Don Maxwell; Paolo Rech; Sudharshan S. Vazhkudai; Daniel Oliveira 002; Dave Londo; Nathan DeBardeleben; Philippe Olivier Alexandre Navaux; Luigi Carro; Arthur S. Bland (HPCA, 2015)

Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection. - Qiang Guan; Nathan DeBardeleben; Sean Blanchard; Song Fu (FTXS@HPDC, 2015)

Differentiated Failure Remediation with Action Selection for Resilient Computing. - Song Huang; Song Fu; Nathan DeBardeleben; Qiang Guan; Cheng-Zhong Xu 001 (PRDC, 2015)

Field, experimental, and analytical data on large-scale HPC systems and evaluation of the implications for exascale system design. - Nathan DeBardeleben; Sean Blanchard; David R. Kaeli; Paolo Rech (VTS, 2015)

Improving DRAM Fault Characterization through Machine Learning. - Elisabeth Baseman; Nathan DeBardeleben; Kurt B. Ferreira; Scott Levy; Steven Raasch; Vilas Sridharan; Taniya Siddiqua; Qiang Guan (DSN Workshops, 2016)

SDC is in the Eye of the Beholder: A Survey and Preliminary Study. - Bo Fang 002; Panruo Wu; Qiang Guan; Nathan DeBardeleben; Laura Monroe; Sean Blanchard; Zhizong Chen; Karthik Pattabiraman; Matei Ripeanu (DSN Workshops, 2016)

On the Inherent Resilience of Integer Operations. - Laura Monroe; William M. Jones; Scott R. Lavigne; Claude H. Davis IV; Qiang Guan; Nathan DeBardeleben (Euro-Par Workshops, 2016)

Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra. - Panruo Wu; Qiang Guan; Nathan DeBardeleben; Sean Blanchard; Dingwen Tao; Xin Liang 001; Jieyang Chen; Zizhong Chen (HPDC, 2016)

Design, Use and Evaluation of P-FSEFI: A Parallel Soft Error Fault Injection Framework for Emulating Soft Errors in Parallel Applications. - Qiang Guan; Nathan DeBardeleben; Panruo Wu; Stephan J. Eidenbenz; Sean Blanchard; Laura Monroe; Elisabeth Baseman; Li Tan (SimuTools, 2016)

Lifetime memory reliability data from the field. - Taniya Siddiqua; Vilas Sridharan; Steven E. Raasch; Nathan DeBardeleben; Kurt B. Ferreira; Scott Levy; Elisabeth Baseman; Qiang Guan (DFT, 2017)

Automating DRAM Fault Mitigation By Learning From Experience. - Elisabeth Baseman; Nathan DeBardeleben; Kurt B. Ferreira; Vilas Sridharan; Taniya Siddiqua; Olena Tkachenko (DSN Workshops, 2017)

RSVP: Soft Error Resilient Power Savings at Near-Threshold Voltage Using Register Vulnerability. - Li Tan; Nathan DeBardeleben; Qiang Guan; Sean Blanchard; Michael Lang 003 (DSN Workshops, 2017)

Resilience Analysis of Top K Selection Algorithms. - Ryan Slechta; Laura Monroe; Nathan DeBardeleben; Qiang Guan; Joanne Wendelberger; Sarah Michalak (EDCC, 2017)

LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures. - Bo Fang 002; Qiang Guan; Nathan DeBardeleben; Karthik Pattabiraman; Matei Ripeanu (HPDC, 2017)

Silent Data Corruption Resilient Two-sided Matrix Factorizations. - Panruo Wu; Nathan DeBardeleben; Qiang Guan; Sean Blanchard; Jieyang Chen; Dingwen Tao; Xin Liang 001; Kaiming Ouyang; Zizhong Chen (PPoPP, 2017)

Experimental and analytical study of Xeon Phi reliability. - Daniel Oliveira 002; Laércio Lima Pilla; Nathan DeBardeleben; Sean Blanchard; Heather Quinn; Israel Koren; Philippe O. A. Navaux; Paolo Rech (SC, 2017)

Addressing statistical significance of fault injection: empirical studies of the soft error susceptibility. - Qiang Guan; Nathan DeBardeleben; Sean Blanchard; Song Fu (Int. J. High Perform. Comput. Netw., 2017)

Physics-Informed Machine Learning for DRAM Error Modeling. - Elisabeth Baseman; Nathan DeBardeleben; Sean Blanchard; Juston S. Moore; Olena Tkachenko; Kurt B. Ferreira; Taniya Siddiqua; Vilas Sridharan (DFT, 2018)

Modeling Application Resilience in Large-scale Parallel Execution. - Kai Wu 006; Wenqian Dong; Qiang Guan; Nathan DeBardeleben; Dong Li 001 (ICPP, 2018)

Enhancing HPC System Log Analysis by Identifying Message Origin in Source Code. - Megan Hickman; Dakota Fulp; Elisabeth Baseman; Sean Blanchard; Hugh Greenberg; William M. Jones; Nathan DeBardeleben (ISSRE Workshops, 2018)

TensorFI: A Configurable Fault Injector for TensorFlow Applications. - Guanpeng Li; Karthik Pattabiraman; Nathan DeBardeleben (ISSRE Workshops, 2018)

SaNSA - The Supercomputer and Node State Architecture. - Neil Agarwal; Hugh Greenberg; Sean Blanchard; Nathan DeBardeleben (FTXS@SC, 2018)

Lessons learned from memory errors observed over the lifetime of Cielo. - Scott Levy; Kurt B. Ferreira; Nathan DeBardeleben; Taniya Siddiqua; Vilas Sridharan; Elisabeth Baseman (SC, 2018)

Improving Application Resilience by Extending Error Correction with Contextual Information. - Alexandra Poulos; Dylan Wallace; Robert Robey; Laura Monroe; Vanessa Job; Sean Blanchard; William M. Jones; Nathan DeBardeleben (FTXS@SC, 2018)

On the diversity of cluster workloads and its impact on research results. - George Amvrosiadis; Jun Woo Park; Gregory R. Ganger; Garth A. Gibson; Elisabeth Baseman; Nathan DeBardeleben (USENIX ATC, 2018)

Characterization and Comparison of Application Resilience for Serial and Parallel Executions. - Kai Wu 006; Qiang Guan; Nathan DeBardeleben; Dong Li 001 (CoRR, 2018)

Using virtualization to quantify power conservation via near-threshold voltage reduction for inherently resilient applications. - Li Tan; Nathan DeBardeleben; Qiang Guan; Sean Blanchard; Michael Lang 003 (Parallel Comput., 2018)

The Atlas Cluster Trace Repository. - George Amvrosiadis; Michael Kuchnik; Jun Woo Park; Chuck Cranor; Gregory R. Ganger; Elisabeth Moore; Nathan DeBardeleben (login Usenix Mag., 2018)

TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs. - Jieyang Chen; Nan Xiong; Xin Liang 001; Dingwen Tao; Sihuan Li; Kaiming Ouyang; Kai Zhao 008; Nathan DeBardeleben; Qiang Guan; Zizhong Chen (ICS, 2019)

Do Solar Proton Events Reduce the Number of Faults in Supercomputers?: A Comparative Analysis of Faults During and without Solar Proton Events. - Claire McKay Bowen; Nathan DeBardeleben; Sean Blanchard; Christine M. Anderson-Cook (IRPS, 2019)

Quantifying Memory Underutilization in HPC Systems and Using it to Improve Performance via Architecture Support. - Gagandeep Panwar; Da Zhang 004; Yihan Pang; Mai Dahshan; Nathan DeBardeleben; Binoy Ravindran; Xun Jian 002 (MICRO, 2019)

BinFI: an efficient fault injector for safety-critical machine learning systems. - Zitao Chen 001; Guanpeng Li; Karthik Pattabiraman; Nathan DeBardeleben (SC, 2019)

Soft Error Resilience and Failure Recovery for Continuum Dynamics Applications. - Li Tan; Marc Charest; Nathan DeBardeleben; Qiang Guan; Ben Bergen 002 (CoRR, 2019)

Failure Analysis and Quantification for Contemporary and Future Supercomputers. - Li Tan; Nathan DeBardeleben (CoRR, 2019)

Chaser: An Enhanced Fault Injection Tool for Tracing Soft Errors in MPI Applications. - Qiang Guan; Xunchao Hu; Terence Grove; Bo Fang 002; Hailong Jiang; Heng Yin 001; Nathan DeBardeleben (DSN, 2020)

Extreme Protection Against Data Loss with Single-Overlap Declustered Parity. - Huan Ke; Haryadi S. Gunawi; David Bonnie; Nathan DeBardeleben; Michael Grosskopf; Terry Grové; Dominic Manno; Elisabeth Moore; Brad Settlemyer (DSN, 2020)

An Overview of the Risk Posed by Thermal Neutrons to the Reliability of Computing Devices. - Daniel Oliveira 002; Sean Blanchard; Nathan DeBardeleben; Fermando Santos; Gabriel Piscoya Dávila; Philippe Olivier Alexandre Navaux; Stephen Wender; Carlo Cazzaniga; Christopher Frost 002; Robert C. Baumann; Paolo Rech (DSN (Supplements), 2020)

Thermal Neutrons: a Possible Threat for Supercomputers and Safety Critical Applications. - Daniel Oliveira 002; Sean Blanchard; Nathan DeBardeleben; Fernando Fernandes dos Santos; Gabriel Piscoya Dávila; Philippe O. A. Navaux; Carlo Cazzaniga; Christopher Frost 002; Robert C. Baumann; Paolo Rech (ETS, 2020)

TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. - Zitao Chen 001; Niranjhana Narayanan; Bo Fang 002; Guanpeng Li; Karthik Pattabiraman; Nathan DeBardeleben (ISSRE, 2020)

Understanding the Effects of DRAM Correctable Error Logging at Scale. - Kurt B. Ferreira; Scott Levy; Victor Kuhns; Nathan DeBardeleben; Sean Blanchard (CLUSTER, 2021)

Statistical Framework for Two-Party Acceptance Testing of HPC Systems for Reliability. - Nathan DeBardeleben; Tom Burr; Stephen Penton; Craig S. Walker; Josip Loncaric; William M. Jones (FTXS@SC, 2021)

Exploring the Tradeoff Between Reliability and Performance in HPC Systems. - Craig S. Walker; Braeden Slade; Gavin Bailey; Nicklaus Przybylski; Nathan DeBardeleben; William M. Jones (HPEC, 2021)

Quantifying Server Memory Frequency Margin and Using It to Improve Performance in HPC Systems. - Da Zhang 004; Gagandeep Panwar; Jagadish B. Kotra; Nathan DeBardeleben; Sean Blanchard; Xun Jian 002 (ISCA, 2021)

Thermal neutrons: a possible threat for supercomputer reliability. - Daniel Oliveira 002; 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 002; Paolo Rech (J. Supercomput., 2021)

Online Detection and Classification of State Transitions of Multivariate Shock and Vibration Data. - Nicklaus Przybylski; William M. Jones; Nathan DeBardeleben (HPEC, 2022)

Exploring Data Reduction Techniques for Additive Manufacturing Analysis. - Coleman Nichols; Megan Hickman Fulp; Nathan DeBardeleben; Jon C. Calhoun (DRBSD@SC, 2022)

Resiliency in numerical algorithm design for extreme scale simulations. - Emmanuel Agullo; Mirco Altenbernd; Hartwig Anzt; Leonardo Bautista-Gomez; Tommaso Benacchio; Luca Bonaventura; Hans-Joachim Bungartz; Sanjay Chatterjee; Florina M. Ciorba; Nathan DeBardeleben; Daniel Drzisga; Sebastian Eibl; et al. (Int. J. High Perform. Comput. Appl., 2022)

Incorporating Staggered Planned Maintenance Reservations to Improve Performance in Computational Clusters. - William M. Jones; Craig S. Walker; Vivian E. Hafener; Warren D. Graham; Nathan DeBardeleben; Steven T. Senator (CLUSTER Workshops, 2023)

Fault Injection for TensorFlow Applications. - Niranjhana Narayanan; Zitao Chen 001; Bo Fang 002; Guanpeng Li; Karthik Pattabiraman; Nathan DeBardeleben (IEEE Trans. Dependable Secur. Comput., 2023)

Exploring the Trade-Off Between Repair Time and Reliability in Large Scale Cluster Computers: A Simulation-Based Approach. - Leslie A. Horace; Craig S. Walker; William M. Jones; Nathan DeBardeleben; Vivian E. Hafener; Steven T. Senator (HPEC, 2024)

Applied Machine Learning for Surrogate Modeling: A Spatio-Temporal Approach. - Warren D. Graham; Leslie A. Horace; William M. Jones; Sean Tronsen; Sharmistha Chakrabarti; Vanessa Job; Nathan DeBardeleben (ICMLA, 2024)

Analysis Automation for High Explosive Breakout Symmetry. - Sean Tronsen; Elizabeth Francois; Christina Scovel; Nathan DeBardeleben (ISVC (1), 2024)

Echo State Networks: A Non-Intrusive Approach to Anomaly Detection in Manufacturing. - Kendric Hood; Kelin Rumsey; Mark Cola; Bruce Madigan; Christina Scovel; Mike McAninch; Nathan DeBardeleben (SC Workshops, 2024)

URSA: The Universal Research and Scientific Agent. - Michael Grosskopf; Russell Bent; Rahul Somasundaram; Isaac J. Michaud; Arthur Lui; Nathan DeBardeleben; Earl Lawrence (CoRR, 2025)

VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization. - Ayan Biswas; Terece L. Turton; Nishath Rajiv Ranasinghe; Shawn M. Jones; Bradley Love; William M. Jones; Aric A. Hagberg; Han-Wei Shen; Nathan DeBardeleben; Earl Lawrence (CoRR, 2025)

A Foundation Model for Material Fracture Prediction. - Agnese Marcato; Aleksandra Pachalieva; Ryley G. Hill; Kai Gao; Xiaoyu Wang; Esteban Rougier; Zhou Lei; Vinamra Agrawal; Janel Chua; Qinjun Kang; Jeffrey D. Hyman; Abigail Hunter; et al. (CoRR, 2025)