Local Improvement Results for Anderson Acceleration with Inaccurate Function Evaluations. - Alex Toth; J. Austin Ellis; Thomas M. Evans 001; Steven P. Hamilton; C. T. Kelley; Roger P. Pawlowski; Stuart R. Slattery (SIAM J. Sci. Comput., 2017)

Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels. - J. Austin Ellis; Sivasankaran Rajamanickam (HPEC, 2019)

Optimization of processor allocation for domain decomposed Monte Carlo calculations. - J. Austin Ellis; Thomas M. Evans 001; Steven P. Hamilton; C. T. Kelley; Tara M. Pandya (Parallel Comput., 2019)

ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization. - Gordon Euhyun Moon; J. Austin Ellis; Aravind Sukumaran-Rajam; Srinivasan Parthasarathy 001; P. Sadayappan (KDD, 2020)

Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks. - J. Austin Ellis; Attila Cangi; Normand A. Modine; J. Adam Stephens; Aidan P. Thompson; Sivasankaran Rajamanickam (CoRR, 2020)

Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer. - Woong Shin; Vladyslav Oles; Ahmad Maroof Karimi; J. Austin Ellis; Feiyi Wang (SC, 2021)

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)

Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale. - Hao Lu 001; Michael A. Matheson; Vladyslav Oles; J. Austin Ellis; Wayne Joubert; Feiyi Wang (SC, 2022)

Training-free hyperparameter optimization of neural networks for electronic structures in matter. - Lenz Fiedler; Nils Hoffmann; Parvez Mohammed; Gabriel A. Popoola; Tamar Yovell; Vladyslav Oles; J. Austin Ellis; Sivasankaran Rajamanickam; Attila Cangi (Mach. Learn. Sci. Technol., 2022)

Optimizing Distributed Training on Frontier for Large Language Models. - Sajal Dash; Isaac Lyngaas; Junqi Yin; Xiao Wang 004; Romain Egele; J. Austin Ellis; Matthias Maiterth; Guojing Cong; Feiyi Wang; Prasanna Balaprakash (ISC, 2024)