Stephanie Brink

According to our database, Stephanie Brink authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., July, 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., March, 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

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 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

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

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

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

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

AI for Datacenter Optimization (ADOPT'22).

Stephanie Brink

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

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

Proceedings of the 18th IEEE International Conference on e-Science, 2022

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

Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis.

Matthew Larsen, Cyrus Harrison, Terece L. Turton, Sudhanshu Sane, Stephanie Brink, Hank Childs

Proceedings of the 11th IEEE Symposium on Large Data Analysis and Visualization, 2021

Introducing Application Awareness Into a Unified Power Management Stack.

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

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

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

Proceedings of the IEEE/ACM International Workshop on HPC User Support Tools and Workshop on Programming and Performance Visualization Tools, 2020

2019

Hatchet: pruning the overgrowth in parallel profiles.

Abhinav Bhatele, Stephanie Brink, Todd Gamblin

Proceedings of the International Conference for High Performance Computing, 2019