Mixed Precision Solver Scalable to 16000 MPI Processes for Lattice Quantum Chromodynamics Simulations on the Oakforest-PACS System. - Taisuke Boku; Ken-Ichi Ishikawa; Yoshinobu Kuramashi; Lawrence Meadows (CANDAR, 2017)

Accelerating HPC codes on Intel(R) Omni-Path Architecture networks: From particle physics to Machine Learning. - Peter A. Boyle; Michael Chuvelev; Guido Cossu; Christopher Kelly; Christoph Lehner; Lawrence Meadows (CoRR, 2017)

CosmoFlow: using deep learning to learn the universe at scale. - Amrita Mathuriya; Deborah Bard; Peter Mendygral; Lawrence Meadows; James Arnemann; Lei Shao; Siyu He; Tuomas Kärnä; Diana Moise; Simon J. Pennycook; Kristyn J. Maschhoff; Jason Sewall; et al. (SC, 2018)

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model. - Atilim Gunes Baydin; Lei Shao; Wahid Bhimji; Lukas Heinrich; Saeid Naderiparizi; Andreas Munk 001; Jialin Liu 002; Bradley Gram-Hansen; Gilles Louppe; Lawrence Meadows; Philip H. S. Torr; Victor W. Lee; et al. (NeurIPS, 2019)

Etalumis: bringing probabilistic programming to scientific simulators at scale. - Atilim Günes Baydin; Lei Shao; Wahid Bhimji; Lukas Heinrich; Lawrence Meadows; Jialin Liu 002; Andreas Munk 001; Saeid Naderiparizi; Bradley Gram-Hansen; Gilles Louppe; Mingfei Ma; Xiaohui Zhao; et al. (SC, 2019)

Performance Analysis of Runtime Handling of Zero-Copy for OpenMP Programs on MI300A APUs. - Carlo Bertolli; Thorsten Blass; Lynd Stringer; Nicole Aschenbrenner; Jan-Patrick Lehr; Doru Bercea; Dhruva R. Chakrabarti; Lawrence Meadows; Ron Lieberman (SC Workshops, 2024)