The Path to Exascale 351
[20] Lawrence Livermore National Laboratory. VisIt User’s Manual, October
2005. Technical Report UCRL-SM-220449.
[21] Lawrence Livermore National Laboratory. Silo User’s Guide, 2010. Doc-
ument Number LLNL-SM-453191.
[22] Li-ta Lo, Christopher Sewell, and James Ahrens. PISTON: A Portable
Cross-Platform Framework for Data-Parallel Visualization Operators. In
Eurographics Symposium on Parallel Graphics and Visualization, 2012.
[23] J. Lofstead, Zheng Fang, S. Klasky, and K. Schwan. Adaptable, Meta-
data Rich I/O Methods for Portable High Performance I/O. In IEEE
International Symposium on Parallel & Distributed Processing (IPDPS),
pages 1–10, 2009.
[24] K.-L. Ma, C. Wang, H. Yu, and A. Tikhonova. In Situ Processing and
Visualization for Ultrascale Simulations. Journal of Physics (also Pro-
ceedings of SciDAC 2007), 78, June 2007.
[25] A. Mascarenhas, R. W. Grout, P.-T. Bremer, E. R. Hawkes, V. Pas-
cucci, and J. H. Chen. Topological Feature Extraction for Comparison of
Terascale Combustion Simulation Data. Mathematics and Visualization.
Springer, 2010.
[26] Jeremy S. Meredith, Robert Sisneros, David Pugmire, and Sean Ahern.
A Distributed Data-Parallel Framework for Analysis and Visualization
Algorithm Development. In Proceedings of the 5th Annual Workshop on
General Purpose Processing with Graphics Processing Units, GPGPU-5,
pages 11–19, New York, NY, USA, 2012. ACM.
[27] Paul Messina, David Brown, et al. Scientific Grand Challenges in National
Security: The Role of Computing at the Extreme Scale. Technical report,
ASCR Scientific Grand Challenges Workshop Series, October 2009.
[28] Gordon E. Moore. Cramming More Components onto Integrated Circuits.
Electronics, 38(8), April 1965.
[29] K. Moreland, U. Ayachit, B. Geveci, and Kwan-Liu Ma. Dax Toolkit:
A Proposed Framework for Data Analysis and Visualization at Extreme
Scale. In IEEE Symposium on Large Data Analysis and Visualization
(LDAV), pages 97 –104, Oct. 2011.
[30] Tom Peterka, Hongfeng Yu, Robert Ross, Kwan-Liu Ma, and Rob
Latham. End-to-End Study of Parallel Volume Rendering on the IBM
Blue Gene/P. In Proceedings of ICPP 09, Vienna, Austria, 2009.
[31] Robert Rosner, Ernie Moniz, et al. Science Based Nuclear Energy Systems
Enabled by Advanced Modeling and Simulation at the Extreme Scale.
Technical report, ASCR Scientific Grand Challenges Workshop Series,
May 2009.
352 High Performance Visualization
[32] Amy Henderson Squillacote. The ParaView Guide: A Parallel Visualiza-
tion Application. Kitware Inc., 2007.
[33] Rick Stevens, Mark Ellisman, et al. Opportunities in Biology at the
Extreme Scale of Computing. Technical report, ASCR Scientific Grand
Challenges Workshop Series, August 2009.
[34] Rick Stevens, Andrew White, et al. Architectures and Technology for
Extreme Scale Computing. Technical report, ASCR Scientific Grand
Challenges Workshop Series, December 2009.
[35] Bill Tang, David Keyes, et al. Scientific Grand Challenges in Fusion En-
ergy Sciences and the Role of Computing at the Extreme Scale. Technical
report, ASCR Scientific Grand Challenges Workshop Series, March 2009.
[36] Rajeev Thakur, William Gropp, and Ewing Lusk. On Implementing
MPI-IO Portably and with High Performance. In Proceedings of the 6th
Workshop on I/O in Parallel and Distributed Systems, pages 23–32. ACM
Press, 1999.
[37] The HDF Group. HDF5 user guide. http://www.hdfgroup.org/HDF5/
doc/UG/index.html, 2011.
[38] Unidata. The NetCDF users’ guide. http://www.unidata.ucar.edu/
software/netcdf/docs/netcdf/, 2011.
[39] Venkatram Vishwanath, Mark Hereld, and Michael E. Papka. Simulation-
Time Data Analysis and I/O Acceleration on Leadership-Class Systems
Using GLEAN. In Proceedings of the IEEE Symposium on Large Data
Analysis and Visualization, October 2011.
[40] Warren Washington et al. Challenges in Climate Change Science and
the Role of Computing at the Extreme Scale. Technical report, ASCR
Scientific Grand Challenges Workshop Series, November 2008.
[41] B. Whitlock, J. M. Favre, and J. S. Meredith. Parallel In Situ Coupling of
Simulation with a Fully Featured Visualization System. In Proceedings
of Eurographics Parallel Graphics and Visualization Symposium,April
2011.
[42] K. Wu, S. Ahern, E. W. Bethel, J. Chen, H. Childs, E. Cormier-Michel,
C. Geddes, J. Gu, H. Hagen, B. Hamann, W. Koegler, J. Laurent,
J. Meredith, P. Messmer, E. Otoo, V. Perevoztchikov, A. Poskanzer,
O. Ruebel, A. Shoshani, A. Sim, K. Stockinger, G. Weber, and W.-M.
Zhang. FastBit: Interactively searching massive data. Journal of Physics:
Conference Series, 180(1), 2009.
The Path to Exascale 353
[43] Glenn Young, David Dean, Martin Savage, et al. Forefront Questions in
Nuclear Science and the Role of High Performance Computing. Techni-
cal report, ASCR Scientific Grand Challenges Workshop Series, January
2009.
[44] H. Yu, C. Wang, R. W. Grout, J. H. Chen, and K.-L. Ma. In-Situ Vi-
sualization for Large-Scale Combustion Simulations. IEEE Computer
Graphics and Applications, 30(3):45–57, May-June 2010.
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.