A Scalable Observation System for Introspection and In Situ Analytics. - Chad Wood; Sudhanshu Sane; Daniel A. Ellsworth; Alfredo Giménez; Kevin A. Huck; Todd Gamblin; Allen D. Malony (ESPT@SC, 2016)

Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. - Jeremy Logan; Jong Youl Choi; Matthew Wolf; George Ostrouchov; Lipeng Wan 001; Norbert Podhorszki; William F. Godoy; Scott Klasky; Erich Lohrmann; Greg Eisenhauer; Chad Wood; Kevin A. Huck (CLUSTER, 2017)

ScrubJay: deriving knowledge from the disarray of HPC performance data. - Alfredo Giménez; Todd Gamblin; Abhinav Bhatele; Chad Wood; Kathleen Shoga; Aniruddha Marathe; Peer-Timo Bremer; Bernd Hamann; Martin Schulz 001 (SC, 2017)

Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE. - Chad Wood; Matthew Larsen; Alfredo Giménez; Kevin A. Huck; Cyrus Harrison; Todd Gamblin; Allen D. Malony (ESPT/VPA@SC, 2017)

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. - Jong Youl Choi; Choong-Seock Chang; Julien Dominski; Scott Klasky; Gabriele Merlo; Eric Suchyta; Mark Ainsworth; Bryce Allen; Franck Cappello; Michael Churchill; Philip E. Davis; Sheng Di; et al. (eScience, 2018)

Scalable Performance Awareness for In Situ Scientific Applications. - Matthew Wolf; Julien Dominski; Gabriele Merlo; Jong Choi 001; Greg Eisenhauer; Stéphane Ethier; Kevin A. Huck; Scott Klasky; Jeremy Logan; Allen D. Malony; Chad Wood (eScience, 2019)

Towards Runtime Analytics in a Parallel Performance System. - Allen D. Malony; Srinivasan Ramesh; Kevin A. Huck; Chad Wood; Sameer Shende (HPCS, 2019)

When Parallel Performance Measurement and Analysis Meets In Situ Analytics and Visualization. - Allen D. Malony; Matthew Larsen; Kevin A. Huck; Chad Wood; Sudhanshu Sane; Hank Childs (PARCO, 2019)

Artemis: Automatic Runtime Tuning of Parallel Execution Parameters Using Machine Learning. - Chad Wood; Giorgis Georgakoudis; David Beckingsale; David Poliakoff; Alfredo Giménez; Kevin A. Huck; Allen D. Malony; Todd Gamblin (ISC, 2021)