Wesley Brewer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
2
Active years
2020–2026
Best venue rank
A
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SSDBM | SetGo: Metadata Readiness for Scientific AI Datasets. | Sean R. Wilkinson, Polina Shpilker, Wesley Brewer |
| 2025 | SC | Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training. | Wesley Brewer, Murali Meena Gopalakrishnan, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen de Bruyn Kops, P. K. Yeung, Daniel L. Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang |
| 2025 | SC | From Exploration to Explanation: ML-Driven Causal Discovery for Datacenter Reliability at Scale. | Pavana Prakash, Rolando P. Hong Enriquez, Sergey Serebryakov, David Grant, Wesley Brewer, Dejan S. Milojicic |
| 2025 | SC | In-Transit Data Transport Strategies for Coupled AI-Simulation Workflow Patterns. | Harikrishna Tummalapalli, Riccardo Balin, Christine M. Simpson, Andrew Park, Aymen Alsaadi, Andrew E. Shao, Wesley Brewer, Shantenu Jha |
| 2024 | SC | A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale. | Wesley Brewer, Matthias Maiterth, Vineet Kumar, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang |
| 2024 | SC | Navigating Exascale Operational Data Analytics: From Inundation to Insight. | Woong Shin, Tim Osborne, Ahmad Maroof Karimi, Rachel Palumbo, Alex May, Corwin Lester, Jesse Hines, Naw Safrin Sattar, Leah Huk, Scott Simmerman, Wesley Brewer, Jeffrey Miller, Ryan Adamson, Olga A. Kuchar, Ryan Prout, Feiyi Wang, Scott Atchley, Sarp Oral |
| 2023 | SC | Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates. | Wesley Brewer, Daniel Martnez, Muralikrishnan Gopalakrishnan Meena, Aditya Kashi, Katarzyna Borowiec, Siyan Liu, Christopher Pilmaier, Greg W. Burgreen, Shanti Bhushan |
| 2022 | SC | Scalable Integration of Computational Physics Simulations with Machine Learning. | Mathew Boyer, Wesley Brewer, Dylan Jude, Ian D. Dettwiller |
| 2020 | SC | Predictions of Steady and Unsteady Flows using Machine-learned Surrogate Models. | Shanti Bhushan, Greg W. Burgreen, Joshua L. Bowman, Ian D. Dettwiller, Wesley Brewer |