Scaling physics and material science applications on a massively parallel Blue Gene/L system. - George Almási 001; Gyan Bhanot; Alan Gara; Manish Gupta 002; James C. Sexton; Robert Walkup; Vasily V. Bulatov; Andrew W. Cook; Bronis R. de Supinski; James N. Glosli; Jeffrey A. Greenough; François Gygi; et al. (ICS, 2005)

Extending stability beyond CPU millennium: a micron-scale atomistic simulation of Kelvin-Helmholtz instability. - James N. Glosli; David F. Richards; K. J. Caspersen; R. E. Rudd; John A. Gunnels; Frederick H. Streitz (SC, 2007)

BlueGene/L applications: Parallelism On a Massive Scale. - Bronis R. de Supinski; Martin Schulz 001; Vasily V. Bulatov; William H. Cabot; Bor Chan; Andrew W. Cook; Erik W. Draeger; James N. Glosli; Jeffrey A. Greenough; Keith W. Henderson; Alison Kubota; Steve Louis; et al. (Int. J. High Perform. Comput. Appl., 2008)

Beyond homogeneous decomposition: scaling long-range forces on Massively Parallel Systems. - David F. Richards; James N. Glosli; Bor Chan; Milo R. Dorr; Erik W. Draeger; Jean-Luc Fattebert; William D. Krauss; Thomas E. Spelce; Frederick H. Streitz; Michael P. Surh; John A. Gunnels (SC, 2009)

The International Exascale Software Project roadmap. - Jack J. Dongarra; Peter H. Beckman; Terry Moore; Patrick Aerts; Giovanni Aloisio; Jean-Claude Andre; David Barkai; Jean-Yves Berthou; Taisuke Boku; Bertrand Braunschweig; Franck Cappello; Barbara M. Chapman; et al. (Int. J. High Perform. Comput. Appl., 2011)

Science at LLNL with IBM Blue Gene/Q. - Brian Carnes; Bor Chan; Erik W. Draeger; Jean-Luc Fattebert; Larry Fried; James N. Glosli; William D. Krauss; Steve H. Langer; Rose McCallen; Arthur A. Mirin; Fady Najjar; Albert L. Nichols; et al. (IBM J. Res. Dev., 2013)

Precision Medicine as an Accelerator for Next Generation Cognitive Supercomputing. - Edmon Begoli; Jim Brase; Bambi DeLaRosa; Penelope Jones; Dimitri Kusnezov; Jason Paragas; Rick Stevens; Frederick H. Streitz; Georgia D. Tourassi (CoRR, 2018)

A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. - Francesco Di Natale; Harsh Bhatia; Timothy S. Carpenter; Chris Neale; Sara Kokkila Schumacher; Tomas Oppelstrup; Liam Stanton; Xiaohua Zhang; Shiv Sundram; Thomas R. W. Scogland; Gautham Dharuman; Michael P. Surh; et al. (SC, 2019)

Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates. - Rushil Anirudh; Jayaraman J. Thiagarajan; Peer-Timo Bremer; Timothy C. Germann; Sara Y. Del Valle; Frederick H. Streitz (Healthcare AI and COVID-19 Workshop, 2022)

Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models. - Jayaraman J. Thiagarajan; Rushil Anirudh; Peer-Timo Bremer; Timothy C. Germann; Sara Y. Del Valle; Frederick H. Streitz (Healthcare AI and COVID-19 Workshop, 2022)

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience. - Loïc Pottier; Konstantia Georgouli; Timothy S. Carpenter; Fikret Aydin; Jeremy O. B. Tempkin; Dwight V. Nissley; Frederick H. Streitz; Thomas R. W. Scogland; Peer-Timo Bremer; Felice C. Lightstone; Helgi I. Ingólfsson (CoRR, 2025)