Galaxies Collide On the I-Way: an Example of Heterogeneous Wide-Area Collaborative Supercomputing. - Michael L. Norman; Peter H. Beckman; Greg L. Bryan; John Dubinski; Dennis Gannon; Lars Hernquist; Kate Keahey; Jeremiah P. Ostriker; John Shalf; Joel Welling; Shelby X. Yang (Int. J. High Perform. Comput. Appl., 1996)

Exploring Structured Adaptive Mesh Refinement (SAMR) Methods with the Illinois Concert System. - Bishwaroop Ganguly; Greg Bryan; Michael L. Norman; Andrew A. Chien (PP, 1997)

Cosmology of the Early Universe Viewed Through the New Infrastructure. - Jeremiah P. Ostriker; Michael L. Norman (Commun. ACM, 1997)

Diving deep: data-management and visualization strategies for adaptive mesh refinement simulations. - Michael L. Norman; John Shalf; Stuart Levy; Greg Daues (Comput. Sci. Eng., 1999)

Achieving extreme resolution in numerical cosmology using adaptive mesh refinement: resolving primordial star formation. - Greg Bryan; Tom Abel; Michael L. Norman (Sci. Program., 2002)

Astrophysics - The cosmic simulator. - Michael L. Norman (SC, 2006)

Self-consistent solution of cosmological radiation-hydrodynamics and chemical ionization. - Daniel R. Reynolds; John C. Hayes; Pascal Paschos; Michael L. Norman (J. Comput. Phys., 2009)

Piecewise parabolic method on a local stencil for magnetized supersonic turbulence simulation. - Sergey D. Ustyugov; Mikhail V. Popov; Alexei G. Kritsuk; Michael L. Norman (J. Comput. Phys., 2009)

Accelerating data-intensive science with Gordon and Dash. - Michael L. Norman; Allan Snavely (TG, 2010)

Exploring large data over wide area networks. - Mark Hereld; Joseph A. Insley; Eric C. Olson; Michael E. Papka; Venkatram Vishwanath; Michael L. Norman; Rick Wagner (LDAV, 2011)

Modeling early galaxies using radiation hydrodynamics. - Joseph A. Insley; Rick Wagner; Robert Harkness; Daniel R. Reynolds; Michael L. Norman; Mark Hereld; Eric C. Olson; Michael E. Papka; Venkatram Vishwanath (SC Companion, 2011)

Interactive large data exploration over the wide area. - Mark Hereld; Michael E. Papka; Joseph A. Insley; Michael L. Norman; Eric C. Olson; Rick Wagner (TG, 2011)

On the density distribution in star-forming interstellar clouds. - Alexei G. Kritsuk; Michael L. Norman; Richard P. Wagner (TG, 2011)

Direct Numerical Simulations of Cosmological Reionization: Field Comparison: Density. - Joseph A. Insley; Mark Hereld; Michael E. Papka; Rick Wagner; Robert Harkness; Michael L. Norman; Daniel R. Reynolds (SC Companion, 2012)

Direct Numerical Simulations of Cosmological Reionization: Field Comparison: Ionization Fraction. - Joseph A. Insley; Mark Hereld; Michael E. Papka; Rick Wagner; Robert Harkness; Michael L. Norman; Daniel R. Reynolds (SC Companion, 2012)

Cosmology on the Blue Waters Early Science System. - Brian W. O'Shea; Michael L. Norman; Britton Smith; Mathew Turk; Michael Kuhlen; John H. Wise; Daniel R. Reynolds; Robert Harkness; Manisha Gajbe; Dave Semeraro (SC Companion, 2012)

SeedMe preview: your results from disk to device. - Amit Chourasia; Mona Wong-Barnum; Michael L. Norman (XSEDE, 2013)

Using Gordon to accelerate LHC science. - Rick Wagner; Mahidhar Tatineni; Eva Hocks; Kenneth Yoshimoto; Scott Sakai; Michael L. Norman; Brian Bockelman; Igor Sfiligoi; Matevz Tadel; James Letts; Frank Würthwein; Lothar Bauerdick (XSEDE, 2013)

SeedMe: A cyberinfrastructure for sharing results. - Amit Chourasia; Mona Wong-Barnum; David R. Nadeau; Michael L. Norman (LDAV, 2014)

Gateways to Discovery: Cyberinfrastructure for the Long Tail of Science. - Richard Lee Moore; Chaitan Baru; Diane Baxter; Geoffrey Charles Fox; Amitava Majumdar 001; Philip M. Papadopoulos; Wayne Pfeiffer; Robert S. Sinkovits; Shawn Strande; Mahidhar Tatineni; Richard P. Wagner; Nancy Wilkins-Diehr; et al. (XSEDE, 2014)

SeedMe: A scientific data sharing and collaboration platform. - Amit Chourasia; Mona Wong-Barnum; Dmitry Mishin; David R. Nadeau; Michael L. Norman (XSEDE, 2016)

SeedMe: Data Sharing Building Blocks. - Amit Chourasia; David R. Nadeau; Michael L. Norman (PEARC, 2017)

Comet: Tales from the Long Tail: Two Years In and 10, 000 Users Later. - Shawn Strande; Haisong Cai; Trevor Cooper; Karen Flammer; Christopher Irving; Gregor von Laszewski; Amitava Majumdar 001; Dmitry Mishin; Philip M. Papadopoulos; Wayne Pfeiffer; Robert S. Sinkovits; Mahidhar Tatineni; et al. (PEARC, 2017)

Data through the Computational Lens. - Sergey V. Kovalchuk; Tesfamariam M. Abuhay; Ilkay Altintas; Michael L. Norman; Michael Harold Lees; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2017)

ENZO: An Adaptive Mesh Refinement Code for Astrophysics (Version 2.6). - Corey Brummel-Smith; Greg Bryan; Iryna Butsky; Lauren Corlies; Andrew Emerick; John C. Forbes; Yusuke Fujimoto; Nathan J. Goldbaum; Philipp Grete; Cameron Hummels; Ji-hoon Kim; Daegene Koh; et al. (J. Open Source Softw., 2019)

Predicting Localized Primordial Star Formation with Deep Convolutional Neural Networks. - Azton I. Wells; Michael L. Norman (CoRR, 2020)

CloudBank: Managed Services to Simplify Cloud Access for Computer Science Research and Education. - Michael L. Norman; Vince Kellen; Shava Smallen; Brian DeMeulle; Shawn Strande; Ed Lazowska; Naomi Alterman; Rob Fatland; Sarah Stone; Amanda Tan; Katherine A. Yelick; Eric Van Dusen; et al. (PEARC, 2021)

Experiences in Building a User Portal for Expanse Supercomputer. - Scott Sakai; Dmitry Mishin; Subhashini Sivagnanam; Mahidhar Tatineni; Martin Kandes; Mary P. Thomas; Christopher Irving; Shawn Strande; Michael L. Norman (PEARC, 2021)

Structured Adaptive Mesh Refinement Adaptations to Retain Performance Portability With Increasing Heterogeneity. - Anshu Dubey; Martin Berzins; Carsten Burstedde; Michael L. Norman; Didem Unat; Mohamed Wahib (Comput. Sci. Eng., 2021)

Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. - Ilkay Altintas; Ismael Pérez; Dmitry Mishin; Adrien Trouillaud; Christopher Irving; John J. Graham; Mahidhar Tatineni; Thomas A. DeFanti; Shawn Strande; Larry Smarr; Michael L. Norman (e-Science, 2022)