Michael L. Norman

Publication Activity (10 Years)

Years Active: 1996-2022
Publications (10 Years): 11

Top Topics

Heterogeneous Systems

Mesh Refinement

Particle Physics

Top Venues

Publications

Ilkay Altintas, Ismael Pérez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John Graham, Mahidhar Tatineni, Thomas A. DeFanti, Shawn Strande, Larry Smarr, Michael L. Norman
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. CoRR (2022)
Ilkay Altintas, Ismael Pérez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John Graham, Mahidhar Tatineni, Thomas A. DeFanti, Shawn Strande, Larry Smarr, Michael L. Norman
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. e-Science (2022)
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, James Mitchell
CloudBank: Managed Services to Simplify Cloud Access for Computer Science Research and Education. PEARC (2021)
Anshu Dubey, Martin Berzins, Carsten Burstedde, Michael L. Norman, Didem Unat, Mohamed Wahib
Structured Adaptive Mesh Refinement Adaptations to Retain Performance Portability With Increasing Heterogeneity. Comput. Sci. Eng. 23 (5) (2021)
Scott Sakai, Dmitry Mishin, Subhashini Sivagnanam, Mahidhar Tatineni, Martin Kandes, Mary Thomas, Christopher Irving, Shawn Strande, Michael L. Norman
Experiences in Building a User Portal for Expanse Supercomputer. PEARC (2021)
Azton I. Wells, Michael L. Norman
Predicting Localized Primordial Star Formation with Deep Convolutional Neural Networks. CoRR (2020)
Corey Brummel-Smith, Greg Bryan, Iryna Butsky, Lauren Corlies, Andrew Emerick, John Forbes, Yusuke Fujimoto, Nathan J. Goldbaum, Philipp Grete, Cameron Hummels, Ji-hoon Kim, Daegene Koh, Miao Li, Yuan Li, Xinyu Li, Brian W. O'Shea, Molly Peeples, John Regan, Munier Salem, Wolfram Schmidt, Christine Simpson, Britton Smith, Jason Tumlinson, Matthew J. Turk, John Wise, Tom Abel, James Bordner, Renyue Cen, David Collins, Brian Crosby, Philipp V. F. Edelmann, Oliver Hahn, Robert Harkness, Elizabeth Harper-Clark, Shuo Kong, Alexei G. Kritsuk, Michael Kuhlen, James Larrue, Eve Lee, Greg Meece, Michael L. Norman, Jeffrey S. Oishi, Pascal Paschos, Carolyn Peruta, Alex Razoumov, Daniel R. Reynolds, Devin Silvia, Samuel W. Skillman, Stephen Skory, Geoffrey So, Elizabeth J. Tasker, Rick Wagner, Peng Wang, Hao Xu, Fen Zhao
ENZO: An Adaptive Mesh Refinement Code for Astrophysics (Version 2.6). J. Open Source Softw. 4 (42) (2019)
Shawn Strande, Haisong Cai, Trevor Cooper, Karen Flammer, Christopher Irving, Gregor von Laszewski, Amitava Majumdar, Dmitry Mishin, Philip M. Papadopoulos, Wayne Pfeiffer, Robert S. Sinkovits, Mahidhar Tatineni, Rick Wagner, Fugang Wang, Nancy Wilkins-Diehr, Nicole Wolter, Michael L. Norman
Comet: Tales from the Long Tail: Two Years In and 10, 000 Users Later. PEARC (2017)
Sergey V. Kovalchuk, Tesfamariam M. Abuhay, Ilkay Altintas, Michael L. Norman, Michael Harold Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
Data through the Computational Lens. J. Comput. Sci. 20 (2017)
Amit Chourasia, David R. Nadeau, Michael L. Norman
SeedMe: Data Sharing Building Blocks. PEARC (2017)
Amit Chourasia, Mona Wong-Barnum, Dmitry Mishin, David R. Nadeau, Michael L. Norman
SeedMe: A scientific data sharing and collaboration platform. XSEDE (2016)
Richard Lee Moore, Chaitan Baru, Diane Baxter, Geoffrey Charles Fox, Amitava Majumdar, Philip M. Papadopoulos, Wayne Pfeiffer, Robert S. Sinkovits, Shawn Strande, Mahidhar Tatineni, Richard P. Wagner, Nancy Wilkins-Diehr, Michael L. Norman
Gateways to Discovery: Cyberinfrastructure for the Long Tail of Science. XSEDE (2014)
Amit Chourasia, Mona Wong-Barnum, David R. Nadeau, Michael L. Norman
SeedMe: A cyberinfrastructure for sharing results. LDAV (2014)
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
Using Gordon to accelerate LHC science. XSEDE (2013)
Amit Chourasia, Mona Wong-Barnum, Michael L. Norman
SeedMe preview: your results from disk to device. XSEDE (2013)
Joseph A. Insley, Mark Hereld, Michael E. Papka, Rick Wagner, Robert Harkness, Michael L. Norman, Daniel R. Reynolds
Direct Numerical Simulations of Cosmological Reionization: Field Comparison: Density. SC Companion (2012)
Joseph A. Insley, Mark Hereld, Michael E. Papka, Rick Wagner, Robert Harkness, Michael L. Norman, Daniel R. Reynolds
Direct Numerical Simulations of Cosmological Reionization: Field Comparison: Ionization Fraction. SC Companion (2012)
Brian W. O'Shea, Michael L. Norman, Britton Smith, Mathew Turk, Michael Kuhlen, John Wise, Daniel R. Reynolds, Robert Harkness, Manisha Gajbe, Dave Semeraro
Cosmology on the Blue Waters Early Science System. SC Companion (2012)
Mark Hereld, Joseph A. Insley, Eric C. Olson, Michael E. Papka, Venkatram Vishwanath, Michael L. Norman, Rick Wagner
Exploring large data over wide area networks. LDAV (2011)
Joseph A. Insley, Rick Wagner, Robert Harkness, Daniel R. Reynolds, Michael L. Norman, Mark Hereld, Eric C. Olson, Michael E. Papka, Venkatram Vishwanath
Modeling early galaxies using radiation hydrodynamics. SC Companion (2011)
Alexei G. Kritsuk, Michael L. Norman, Richard P. Wagner
On the density distribution in star-forming interstellar clouds. TG (2011)
Mark Hereld, Michael E. Papka, Joseph A. Insley, Michael L. Norman, Eric C. Olson, Rick Wagner
Interactive large data exploration over the wide area. TG (2011)
Michael L. Norman, Allan Snavely
. TG (2010)
Daniel R. Reynolds, John C. Hayes, Pascal Paschos, Michael L. Norman
Self-consistent solution of cosmological radiation-hydrodynamics and chemical ionization. J. Comput. Phys. 228 (18) (2009)
Sergey D. Ustyugov, Mikhail V. Popov, Alexei G. Kritsuk, Michael L. Norman
Piecewise parabolic method on a local stencil for magnetized supersonic turbulence simulation. J. Comput. Phys. 228 (20) (2009)
Michael L. Norman
Astrophysics - The cosmic simulator. SC (2006)
Greg Bryan, Tom Abel, Michael L. Norman
Achieving extreme resolution in numerical cosmology using adaptive mesh refinement: resolving primordial star formation. Sci. Program. 10 (4) (2002)
Greg Bryan, Tom Abel, Michael L. Norman
Achieving extreme resolution in numerical cosmology using adaptive mesh refinement: resolving primordial star formation. SC (2001)
Michael L. Norman, John Shalf, Stuart Levy, Greg Daues
Diving deep: data-management and visualization strategies for adaptive mesh refinement simulations. Comput. Sci. Eng. 1 (4) (1999)
Jeremiah P. Ostriker, Michael L. Norman
Cosmology of the Early Universe Viewed Through the New Infrastructure. Commun. ACM 40 (11) (1997)
Bishwaroop Ganguly, Greg Bryan, Michael L. Norman, Andrew A. Chien
Exploring Structured Adaptive Mesh Refinement (SAMR) Methods with the Illinois Concert System. PPSC (1997)
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
Galaxies Collide On the I-Way: an Example of Heterogeneous Wide-Area Collaborative Supercomputing. Int. J. High Perform. Comput. Appl. 10 (2-3) (1996)