2019
Corey Brummel-Smith and Greg Bryan and Iryna Butsky and Lauren Corlies and Andrew Emerick and John Forbes and Yusuke Fujimoto and Nathan J. Goldbaum and Philipp Grete and Cameron B. Hummels and Ji-hoon Kim and Daegene Koh and Miao Li and Yuan Li and Xinyu Li and Brian O'Shea and Molly S. Peeples and John A. Regan and Munier Salem and Wolfram Schmidt and Christine M. Simpson and Britton D. Smith and Jason Tumlinson and Matthew J. Turk and John H. Wise and Tom Abel and James Bordner and Renyue Cen and David C. Collins and Brian Crosby and Philipp Edelmann and Oliver Hahn and Robert Harkness and Elizabeth Harper-Clark and Shuo Kong and Alexei G. Kritsuk and Michael Kuhlen and James Larrue and Eve Lee and Greg Meece and Michael L. Norman and Jeffrey S. Oishi and Pascal Paschos and Carolyn Peruta and Alex Razoumov and Daniel R. Reynolds and Devin Silvia and Samuel W. Skillman and Stephen Skory and Geoffrey C. So and Elizabeth Tasker and Rick Wagner and Peng Wang and Hao Xu and Fen Zhao (2019):
An Adaptive Mesh Refinement Code for Astrophysics (Version 2.6), Journal of Open Source Software, The Open Journal, Vol 4, Num 42, pp1636
John H. Wise, John A. Regan, Brian W. O’Shea, Michael L. Norman, Turlough P. Downes, and Hao Xu (2019):
Formation of massive black holes in rapidly growing pre-galactic gas clouds, Nature, Springer Nature, Vol 566, Num 7742, pp85-88
2018
Britton D. Smith, John A. Regan, Turlough P. Downes, Michael L. Norman, Brian W. O’Shea, and John H Wise (2018):
The growth of black holes from Population III remnants in the Renaissance simulations, Monthly Notices of the Royal Astronomical Society, The Royal Astronomical Society, Vol 480, Num 3, pp3762-3773
Hsi-Yu Schive, John A. ZuHone, Nathan J. Goldbaum, Matthew J. Turk, Massimo Gaspari, and Chin-Yu Cheng (2018):
GAMER-2: a GPU-accelerated adaptive mesh refinement code -- accuracy, performance, and scalability, Monthly Notices of the Royal Astronomical Society, The Royal Astronomical Society, Vol 481, Num 4, pp4815-4840
Kirk S. S. Barrow, John H. Wise, Aycin Aykutalp, Brian W. O'Shea, Michael L. Norman, and Hao Xu (2018):
First light – II. Emission line extinction, population III stars, and X-ray binaries, Monthly Notices of the Royal Astronomical Society, The Royal Astronomical Society, Vol 474, Num 2, pp2617-2634
2017
Amy Marshall-Colon, Stephen P. Long, Douglas K. Allen, Gabrielle Allen, Daniel A. Beard, Bedrich Benes, Susanne von Caemmerer, A. J. Christensen, Donna J. Cox, John C. Hart, Peter M. Hirst, Kavya Kannan, Daniel S. Katz, Jonathan P. Lynch, Andrew J. Millar, Balaji Panneerselvam, Nathan D. Price, Przemyslaw Prusinkiewicz, David Raila, Rachel G. Shekar, Stuti Shrivastava, Diwakar Shukla, Venkatraman Srinivasan, Mark Stitt, Matthew J. Turk, Eberhard O. Voit, Yu Wang Xinyou Yin, and Xin-Guang Zhu (2017):
Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform, Frontiers in Plant Science, Frontiers, Vol 8, pp786
2016
2014
Greg L. Bryan and Michael L. Norman and Brian W. O'Shea and Tom Abel and John H. Wise and Matthew J. Turk and Daniel R.
Reynolds and David C. Collins and Peng Wang and Samuel W. Skillman and Britton Smith and Robert P. Harkness and James
Bordner and Ji-hoon Kim and Michael Kuhlen and Hao Xu and Nathan Goldbaum and Cameron Hummels and Alexei G.
Kritsuk and Elizabeth Tasker and Stephen Skory and Christine M. Simpson and Oliver Hahn and Jeffrey S. Oishi and Geoffrey C.
So and Fen Zhao and Renyue Cen and Yuan Li and The Enzo Collaboration (2014):
Enzo: An Adaptive Mesh Refinement Code for Astrophysics, Astrophysical Journal Supplement Series, The American Astronomical Society, Vol 211, Num 2, pp19
Ji-hoon Kim and Tom Abel and Oscar Agertz and Greg L. Bryan and Daniel Ceverino and Charlotte Christensen and Charlie Conroy and Avishai Dekel and Nickolay Y. Gnedin and Nathan J. Goldbaum and Javiera Guedes and Oliver Hahn and Alexander Hobbs and Philip F. Hopkins and Cameron B. Hummels and Francesca Iannuzzi and Dusan Keres and Anatoly Klypin and Andrey V. Kravtsov and Mark R. Krumholz and Michael Kuhlen and Samuel N. Leitner and Piero Madau and Lucio Mayer and Christopher E. Moody and Kentaro Nagamine and Michael L. Norman and Jose Onorbe and Brian W. O'Shea and Annalisa Pillepich and Joel R. Primack and Thomas Quinn and Justin I. Read and Brant E. Robertson and Miguel Rocha and Douglas H. Rudd and Sijing Shen and Britton D. Smith and Alexander S. Szalay and Romain Teyssier and Robert Thompson and Keita Todoroki and Matthew J. Turk and James W. Wadsley and John H. Wise and and Adi Zolotov (2014):
The AGORA High-Resolution Galaxy Simulations Comparison Project, Astrophysical Journal Supplement Series, The American Astronomical Society, Vol 210, Num 1, pp14
2012
B. O'Shea, M. Norman, B. Smith, M. Turk, M. Kuhlen, J. Wise, D. Reynolds, R. Harkness, M. Gajbe, and D. Semeraro (2012):
Cosmology on the Blue Waters Early Science System, Institute of Electrical & Electronics Engineers (IEEE), 2012 SC Companion: High Performance Computing, Networking Storage and Analysis (SC '12), pp1578, Salt Lake City, Utah, U.S.A.
2011
Matthew J. Turk, Britton D. Smith, Jeffrey S. Oishi, Stephen Skory, Samuel W. Skillman, Tom Abel, and Michael L. Norman (2011):
Yt: A Multi-Code Analysis Toolkit for Astrophysical Simulation Data, Astrophysical Journal Supplement Series, American Astronomical Society, Vol 192, Num 1, pp9
Aug 11, 2017
The yt Project, an open science environment created to address astrophysical questions through analysis and visualization, has been awarded a $1.6 million dollar grant from the National Science Foundation(NSF) to continue developing their software project. This grant will enable yt to expand and begin to support other domains beyond astrophysics, including weather, geophysics and seismology, molecular dynamics and observational astronomy. It will also support the development of curricula for Data Carpentry, to ease the onramp for scientists new to data from these domains.
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Jul 6, 2017
The National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign has awarded 3,697,000 node hours (NH) of time on the Blue Waters supercomputer to Illinois researchers from Spring 2017 proposal submissions.
The combined value of these awards is over $2.6 million dollars, and through the life of the Blue Waters program, NCSA has awarded over 43 million node hours to UI researchers—a value of nearly $27 million. Some of the time allocated for Blue Waters will go to projects that focus on HIV research, Laser Interferometer Gravitational-Wave Observatory (LIGO) simulations, genomics and global warming research.
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Apr 3, 2012
With the first portion of the Blue Waters petascale supercomputer now being used by six science teams, the Blue Waters visualization team is using scalable visualization software to produce some of the first science images from the Blue Waters project. NCSA staff members are performing application tests to ascertain Blue Waters' system and application performance. These tests, done in collaboration with the early science users, have produced datasets that are in turn being used by the Blue Waters visualization staff to test scalable visualization tools. Such tools enable science teams to explore the very large volumes of data they will produce on the full Blue Waters system. While the early visualization work is mostly concerned with software functionality, it is providing tantalizing glimpses of the early science.
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