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)

Bandwidth-aware co-allocating meta-schedulers for mini-grid architectures. - William M. Jones; Louis W. Pang; Walter B. Ligon III; Dan Stanzione (CLUSTER, 2004)

Job Communication Characterization and its Impact on Meta-Scheduling Co-Allocated Jobs in a Mini-Grid. - William M. Jones; Louis W. Pang; Daniel C. Stanzione Jr.; Walter B. Ligon III (IPDPS, 2004)

Characterization of Bandwidth-Aware Meta-Schedulers for Co-Allocating Jobs Across Multiple Clusters. - William M. Jones; Walter B. Ligon III; Louis W. Pang; Daniel C. Stanzione Jr. (J. Supercomput., 2005)

Ensuring Fairness Among Participating Clusters During Multi-site Parallel Job Scheduling. - William M. Jones; Walter B. Ligon III (ICPADS (2), 2006)

The Impact of Information Availability and Workload Characteristics on the Performance of Job Co-allocation in Multi-clusters. - William M. Jones; Walter B. Ligon III; Nishant Shrivastava (ICPADS (1), 2006)

Using checkpointing to recover from poor multi-site parallel job scheduling decisions. - William M. Jones (MGC, 2007)

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

Network-aware selective job checkpoint and migration to enhance co-allocation in multi-cluster systems. - William M. Jones (Concurr. Comput. Pract. Exp., 2009)

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

Integrating digital logic design and assembly programming using FPGAs in the classroom. - William M. Jones; D. Brian Larkins (ACM Southeast Regional Conference, 2011)

Targeting FPGA-based processors for an implementation-driven compiler construction course. - D. Brian Larkins; William M. Jones (ACM Southeast Regional Conference, 2011)

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

Introduction to using FPGAs in the computer science curriculum (abstract only). - William M. Jones; D. Brian Larkins (SIGCSE, 2012)

Using FPGA systems across the computer science curriculum (abstract only). - D. Brian Larkins; H. Erin Rickard; William M. Jones (SIGCSE, 2012)

Using FPGAs as a reconfigurable teaching tool throughout CS systems curriculum. - D. Brian Larkins; William M. Jones; H. Erin Rickard (SIGCSE, 2013)

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

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 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)

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)

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)

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)

On collaborative reinforcement learning to optimize the redistribution of critical medical supplies throughout the COVID-19 pandemic. - Bryan P. Bednarski; Akash Deep Singh; William M. Jones (J. Am. Medical Informatics Assoc., 2021)

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

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)

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)