Hatchet: pruning the overgrowth in parallel profiles. - Abhinav Bhatele; Stephanie Brink; Todd Gamblin (SC, 2019)

Usability and Performance Improvements in Hatchet. - Stephanie Brink; Ian Lumsden; Connor Scully-Allison; Katy Williams; Olga Pearce; Todd Gamblin; Michela Taufer; Katherine E. Isaacs; Abhinav Bhatele (HUST/ProTools@SC, 2020)

Introducing Application Awareness Into a Unified Power Management Stack. - Daniel C. Wilson; Siddhartha Jana; Aniruddha Marathe; Stephanie Brink; Christopher M. Cantalupo; Diana R. Guttman; Brad Geltz; Lowren H. Lawson; Asma H. Al-Rawi; Ali Mohammad; Fuat Keceli; Federico Ardanaz; et al. (IPDPS, 2021)

Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis. - Matthew Larsen; Cyrus Harrison; Terece L. Turton; Sudhanshu Sane; Stephanie Brink; Hank Childs (LDAV, 2021)

Evaluating adaptive and predictive power management strategies for optimizing visualization performance on supercomputers. - Stephanie Brink; Matthew Larsen; Hank Childs; Barry Rountree (Parallel Comput., 2021)

Enabling Call Path Querying in Hatchet to Identify Performance Bottlenecks in Scientific Applications. - Ian Lumsden; Jakob Lüttgau; Vanessa Lama; Connor Scully-Allison; Stephanie Brink; Katherine E. Isaacs; Olga Pearce; Michela Taufer (e-Science, 2022)

AI for Datacenter Optimization (ADOPT'22). - Stephanie Brink (IPDPS Workshops, 2022)

Designing an Interactive, Notebook-Embedded, Tree Visualization to Support Exploratory Performance Analysis. - Connor Scully-Allison; Ian Lumsden; Katy Williams; Jesse Bartels; Michela Taufer; Stephanie Brink; Abhinav Bhatele; Olga Pearce; Katherine E. Isaacs (CoRR, 2022)

Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees. - Stephanie Brink; Michael McKinsey; David Böhme; Connor Scully-Allison; Ian Lumsden; W. Daryl Hawkins; Treece Burgess; Vanessa Lama; Jakob Lüttgau; Katherine E. Isaacs; Michela Taufer; Olga Pearce (HPDC, 2023)

msr-genie: Navigating Model Specific Registers Across Processor Generations. - Kyle Fan; Barry Rountree; Tapasya Patki; Aniruddha Marathe; Stephanie Brink; Duncan McFarlane; Eric Green; Kathleen Shoga (SC Workshops, 2023)

Towards Collaborative Continuous Benchmarking for HPC. - Olga Pearce; Alec Scott; Gregory Becker; Riyaz Haque; Nathan Hanford; Stephanie Brink; Doug Jacobsen; Heidi Poxon; Jens Domke; Todd Gamblin (SC Workshops, 2023)

Scalable Comparative Visualization of Ensembles of Call Graphs. - Suraj P. Kesavan; Harsh Bhatia; Abhinav Bhatele; Stephanie Brink; Olga Pearce; Todd Gamblin; Peer-Timo Bremer; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2023)

Finding the forest in the trees: Enabling performance optimization on heterogeneous architectures through data science analysis of ensemble performance data. - Olga Pearce; Stephanie Brink (Int. J. High Perform. Comput. Appl., 2023)

Empirical Study of Molecular Dynamics Workflow Data Movement: DYAD vs. Traditional I/O Systems. - Ian Lumsden; Hariharan Devarajan; Jack Marquez; Stephanie Brink; David Böhme; Olga Pearce; Jae-Seung Yeom; Michela Taufer (IPDPS (Workshops), 2024)

Using Parallel Performance Data to Classify Parallel Algorithms. - Michael McKinsey; Stephanie Brink; Olga Pearce (PPAM (1), 2024)

RAJA Performance Suite: Performance Portability Analysis with Caliper and Thicket. - Olga Pearce; Jason Burmark; Rich Hornung; Befikir Bogale; Ian Lumsden; Michael McKinsey; Dewi Yokelson; David Böhme; Stephanie Brink; Michela Taufer; Tom Scogland (SC Workshops, 2024)

Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments. - Connor Scully-Allison; Ian Lumsden; Katy Williams; Jesse Bartels; Michela Taufer; Stephanie Brink; Abhinav Bhatele; Olga Pearce; Katherine E. Isaacs (IEEE Trans. Vis. Comput. Graph., 2024)

Surrogate Models for Analyzing Performance Behavior of HPC Applications Using the RAJA Performance Suite. - Befikir Bogale; Ian Lumsden; Dalal Sukkari; Dewi Yokelson; Stephanie Brink; Olga Pearce; Michela Taufer (ICCS (4), 2025)

Enabling Lightweight Performance Analysis of Complex Scientific Workflows with PerfFlowAspect. - Aliza Lisan; Tapasya Patki; Stephanie Brink; Konstantinos Parasyris; Brian Gunnarson; Giorgis Georgakoudis; Hank Childs (SSDBM, 2025)

A Tale of Two Models: Understanding Data Workers' Internal and External Representations of Complex Data. - Connor Scully-Allison; Katy Williams; Stephanie Brink; Olga Pearce; Katherine E. Isaacs (CoRR, 2025)

Exascale Implicit Kinetic Plasma Simulations on El Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics. - Stefano Markidis; Andong Hu; Ivy Peng; Luca Pennati; Ian Lumsden; Dewi Yokelson; Stephanie Brink; Olga Pearce; Thomas R. W. Scogland; Bronis R. de Supinski; Gian Luca Delzanno; Michela Taufer (CoRR, 2025)