A view matcher for reusing Smalltalk classes. - Mary Beth Rosson; John M. Carroll 001; Christine Sweeney (CHI, 1991)

Demonstrating a view matcher for reusing Smalltalk classes. - Mary Beth Rosson; John M. Carroll 001; Christine Sweeney (CHI, 1991)

Communications Scheduling for Concurrent Processes on Reconfigurable Computers. - Maya B. Gokhale; Christine Ahrens; Janette Frigo; Christophe Wolinski (FCCM, 2004)

Monte Carlo Radiative Heat Transfer Simulation on a Reconfigurable Computer. - Maya B. Gokhale; Janette Frigo; Christine Ahrens; Justin L. Tripp; Ronald G. Minnich (FPL, 2004)

Trident: An FPGA Compiler Framework for Floating-Point Algorithms. - Justin L. Tripp; Kristopher D. Peterson; Christine Ahrens; Jeffrey D. Poznanovic; Maya B. Gokhale (FPL, 2005)

Verifying Scientific Simulations via Comparative and Quantitative Visualization. - James P. Ahrens; Katrin Heitmann; Mark R. Petersen; Jonathan Woodring; Sean Williams; Patricia K. Fasel; Christine Ahrens; Chung-Hsing Hsu; Berk Geveci (IEEE Computer Graphics and Applications, 2010)

Exploring the construction of a domain-aware toolchain for high-performance computing. - Patrick S. McCormick; Christine Sweeney; Nick Moss; Dean Prichard; Samuel K. Gutierrez; Kei Davis; Jamaludin Mohd-Yusof (WOLFHPC@SC, 2014)

Towards Asynchronous Many-Task in Situ Data Analysis Using Legion. - Philippe P. Pébay; Janine C. Bennett; David S. Hollman; Sean Treichler; Patrick S. McCormick; Christine Sweeney; Hemanth Kolla; Alex Aiken (IPDPS Workshops, 2016)

Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources. - Tom Peterka; Deborah Bard; Janine C. Bennett; E. Wes Bethel; Ron A. Oldfield; Line Pouchard; Christine Sweeney; Matthew Wolf (Int. J. High Perform. Comput. Appl., 2020)

Co-design Center for Exascale Machine Learning Technologies (ExaLearn). - Francis J. Alexander; James A. Ang; Jenna A. Bilbrey; Jan Balewski; Tiernan Casey; Ryan Chard; Jong Choi 001; Sutanay Choudhury; Bert J. Debusschere; Anthony M. DeGennaro; Nikoli Dryden; J. Austin Ellis; et al. (Int. J. High Perform. Comput. Appl., 2021)

EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems. - Himanshu Sharma; Joshua D. Suetterlein; Sumathi Lakshmiranganatha; Thomas Flynn 001; Draguna L. Vrabie; Christine Sweeney; Vinay Ramakrishnaiah (e-Energy (Companion), 2023)

Optimizing and Scaling the 3D Reconstruction of Single-Particle Imaging. - Niteya Shah; Christine Sweeney; Vinay Ramakrishnaiah; Jeffrey Donatelli; Wu-Chun Feng (IPDPS, 2024)

Improving Radiography Machine Learning Workflows via Metadata Management for Training Data Selection. - Mirabel Reid; Christine Sweeney; Oleg Korobkin (CoRR, 2024)