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Stephanie Brink
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2020 – today
- 2024
- [j4]Connor Scully-Allison, Ian Lumsden, Katy Williams, Jesse Bartels, Michela Taufer, Stephanie Brink, Abhinav Bhatele, Olga Pearce, Katherine E. Isaacs:
Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments. IEEE Trans. Vis. Comput. Graph. 30(9): 6572-6585 (2024) - [c10]Ian Lumsden, Hariharan Devarajan, Jack Marquez, Stephanie Brink, David Böhme, Olga Pearce, Jae-Seung Yeom, Michela Taufer:
Empirical Study of Molecular Dynamics Workflow Data Movement: DYAD vs. Traditional I/O Systems. IPDPS (Workshops) 2024: 543-553 - 2023
- [j3]Olga Pearce, Stephanie Brink:
Finding the forest in the trees: Enabling performance optimization on heterogeneous architectures through data science analysis of ensemble performance data. Int. J. High Perform. Comput. Appl. 37(3-4): 434-441 (2023) - [j2]Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Stephanie Brink, Olga Pearce, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma:
Scalable Comparative Visualization of Ensembles of Call Graphs. IEEE Trans. Vis. Comput. Graph. 29(3): 1691-1704 (2023) - [c9]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:
Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees. HPDC 2023: 281-293 - [c8]Olga Pearce, Alec Scott, Gregory Becker, Riyaz Haque, Nathan Hanford, Stephanie Brink, Doug Jacobsen, Heidi Poxon, Jens Domke, Todd Gamblin:
Towards Collaborative Continuous Benchmarking for HPC. SC Workshops 2023: 627-635 - [c7]Kyle Fan, Barry Rountree, Tapasya Patki, Aniruddha Marathe, Stephanie Brink, Duncan McFarlane, Eric Green, Kathleen Shoga:
msr-genie: Navigating Model Specific Registers Across Processor Generations. SC Workshops 2023: 696-703 - 2022
- [c6]Ian Lumsden, Jakob Lüttgau, Vanessa Lama, Connor Scully-Allison, Stephanie Brink, Katherine E. Isaacs, Olga Pearce, Michela Taufer:
Enabling Call Path Querying in Hatchet to Identify Performance Bottlenecks in Scientific Applications. e-Science 2022: 256-266 - [c5]Stephanie Brink:
AI for Datacenter Optimization (ADOPT'22). IPDPS Workshops 2022: 1 - [i1]Connor Scully-Allison, Ian Lumsden, Katy Williams, Jesse Bartels, Michela Taufer, Stephanie Brink, Abhinav Bhatele, Olga Pearce, Katherine E. Isaacs:
Designing an Interactive, Notebook-Embedded, Tree Visualization to Support Exploratory Performance Analysis. CoRR abs/2205.04557 (2022) - 2021
- [j1]Stephanie Brink, Matthew Larsen, Hank Childs, Barry Rountree:
Evaluating adaptive and predictive power management strategies for optimizing visualization performance on supercomputers. Parallel Comput. 104-105: 102782 (2021) - [c4]Daniel Curtis 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, Jonathan M. Eastep, Ayse K. Coskun:
Introducing Application Awareness Into a Unified Power Management Stack. IPDPS 2021: 320-329 - [c3]Matthew Larsen, Cyrus Harrison, Terece L. Turton, Sudhanshu Sane, Stephanie Brink, Hank Childs:
Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis. LDAV 2021: 22-31 - 2020
- [c2]Stephanie Brink, Ian Lumsden, Connor Scully-Allison, Katy Williams, Olga Pearce, Todd Gamblin, Michela Taufer, Katherine E. Isaacs, Abhinav Bhatele:
Usability and Performance Improvements in Hatchet. HUST/ProTools@SC 2020: 49-58
2010 – 2019
- 2019
- [c1]Abhinav Bhatele, Stephanie Brink, Todd Gamblin:
Hatchet: pruning the overgrowth in parallel profiles. SC 2019: 20:1-20:21
Coauthor Index
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