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2020 – today
- 2024
[j3]Jyotika Athavale
, Cullen E. Bash, Wesley Brewer, Matthias Maiterth, Dejan S. Milojicic, Harry Petty, Soumyendu Sarkar:
Digital Twins for Data Centers. Computer 57(10): 151-158 (2024)- [c13]Wesley Brewer, Matthias Maiterth, Vineet Kumar, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang:
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale. SC 2024: 23 - [c12]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:
Navigating Exascale Operational Data Analytics: From Inundation to Insight. SC Workshops 2024: 1795-1804 - [c11]Matthias Maiterth, Wes Brewer, Dane De Wet, Scott Greenwood, Vineet Kumar, Jesse Hines, Sedrick Bouknight, Zhe Wang, Tim Dykes, Feiyi Wang:
Visualizing an Exascale Data Center Digital Twin: Considerations, Challenges and Opportunities. IEEE VIS 2024: 21-25 - [i6]Muralikrishnan Gopalakrishnan Meena, Demetri Liousas, Andrew D. Simin, Aditya Kashi, Wesley Brewer, James J. Riley, Stephen M. de Bruyn Kops:
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models. CoRR abs/2404.16141 (2024) - [i5]Wes Brewer, Ana Gainaru, Frédéric Suter, Feiyi Wang, Murali Emani, Shantenu Jha:
AI-coupled HPC Workflow Applications, Middleware and Performance. CoRR abs/2406.14315 (2024) - [i4]Wesley Brewer, Aditya Kashi, Sajal Dash, Aristeidis Tsaris, Junqi Yin, Mallikarjun Shankar, Feiyi Wang:
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars. CoRR abs/2406.17812 (2024) - [i3]Wesley Brewer, Matthias Maiterth, Vineet Kumar, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang:
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale. CoRR abs/2410.05133 (2024) - [i2]Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent:
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. CoRR abs/2410.14943 (2024) - [i1]Aditya Kashi, Hao Lu, Wesley Brewer, David Rogers, Michael A. Matheson, Mallikarjun Shankar, Feiyi Wang:
Mixed-precision numerics in scientific applications: survey and perspectives. CoRR abs/2412.19322 (2024) - 2023
- [c10]Wesley Brewer, Daniel Martínez, Muralikrishnan Gopalakrishnan Meena, Aditya Kashi, Katarzyna Borowiec, Siyan Liu, Christopher Pilmaier, Greg W. Burgreen, Shanti Bhushan:
Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates. SC Workshops 2023: 73-80 - 2022
- [c9]Wesley Brewer, Joel Bretheim, John Kaniarz, Peilin Song, Burhman Q. Gates:
Scalable Interactive Autonomous Navigation Simulations on HPC. HPEC 2022: 1-7 - [c8]Mathew Boyer, Wesley Brewer, Dylan Jude, Ian D. Dettwiller:
Scalable Integration of Computational Physics Simulations with Machine Learning. AI4S 2022: 44-49 - 2021
- [c7]Wesley Brewer, Chris Geyer, Dardo Kleiner, Connor Horne:
Streaming Detection and Classification Performance of a POWER9 Edge Supercomputer. HPEC 2021: 1-7 - [c6]Wesley Brewer, Daniel Martínez, Mathew Boyer, Dylan Jude, Andy Wissink, Ben Parsons, Junqi Yin, Valentine Anantharaj:
Production Deployment of Machine-Learned Rotorcraft Surrogate Models on HPC. MLHPC@SC 2021: 21-32 - 2020
- [j2]Daniel Martínez, Wesley Brewer, Andrew Strelzoff, Andrew Wilson, Daniel Wade:
Rotorcraft virtual sensors via deep regression. J. Parallel Distributed Comput. 135: 114-126 (2020) - [c5]Wesley Brewer, Greg Behm, Alan L. Scheinine, Ben Parsons, Wesley Emeneker, Robert P. Trevino:
Inference Benchmarking on HPC Systems. HPEC 2020: 1-9 - [c4]Wesley Brewer, Greg Behm, Alan L. Scheinine, Ben Parsons, Wesley Emeneker, Robert P. Trevino:
iBench: a Distributed Inference Simulation and Benchmark Suite. HPEC 2020: 1-6 - [c3]Shanti Bhushan, Greg W. Burgreen, Joshua L. Bowman, Ian D. Dettwiller, Wesley Brewer:
Predictions of Steady and Unsteady Flows using Machine-learned Surrogate Models. MLHPC/AI4S@SC 2020: 80-87
2010 – 2019
- 2015
- [c2]Wesley Brewer, William Scott, John Sanford:
An Integrated Cloud Platform for Rapid Interface Generation, Job Scheduling, Monitoring, Plotting, and Case Management of Scientific Applications. ICCCRI 2015: 156-165
2000 – 2009
- 2007
- [j1]John Sanford, John Baumgardner, Wes Brewer, Paul Gibson, Walter ReMine:
Mendel's Accountant: a biologically realistic forward-time population genetics program. Scalable Comput. Pract. Exp. 8(2) (2007) - [c1]John Sanford, John Baumgardner, Wes Brewer, Paul Gibson, Walter ReMine:
Using Computer Simulation to Understand Mutation Accumulation Dynamics and Genetic Load. International Conference on Computational Science (2) 2007: 386-392
Coauthor Index
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