Robert Sisneros
2019
Scott Lathrop, Celso Mendes, Jeremy Enos, Brett Bode, Gregory H. Bauer, Roberto Sisneros, and William Kramer (2019): Best Practices for Management and Operation of Large HPC Installations, Concurrency and Computation: Practice and Experience, John Wiley & Sons, Inc, Vol 31, Num 16 (Special Issue of the Cray User Group, CUG 2018), ppe5069, Stockholm, Sweden
2018
Robert Sisneros, Jonathan Kim, Mohammad Raji, and Kalyana Chadalavada (2018): How Deep is Your I/O? Toward Practical Large-Scale I/O Optimization via Machine Learning Methods, presented at CUG 2018, Stockholm, Sweden
Gregory H. Bauer, Brett Bode, Jeremy Enos, William T. Kramer, Scott Lathrop, Celso L. Mendes, and Roberto R. Sisneros (2018): Best Practices and Lessons from Deploying and Operating a Sustained-Petascale System: The Blue Waters Experience, SC '18: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp53, Dallas, Texas, U.S.A.
Allen Sanderson, Alan Humphrey, John Schmidt, and Robert Sisneros (2018): Coupling the Uintah Framework and the VisIt Toolkit for Parallel In Situ Data Analysis and Visualization and Computational Steering, Springer Nature, High Performance Computing: ISC High Performance 2018 International Workshops, pp201-214, Third International Workshop on In Situ Visualization (WOIV 2018); Frankfurt, Germany
2017
Cong Xu, Shane Snyder, Vishwanath Venkatesan, Philip Carns, Omkar Kulkarni, Suren Byna, Robert Sisneros, Kalyana Chadalavada (2017): DXT: Darshan eXtended Tracing, presented at CUG 2017, Redmond, Washington, U.S.A.
Mohammad Raji, Alok Hota, Robert Sisneros, Peter Messmer, and Jian Huang (2017): Photo-Guided Exploration of Volume Data Features, The Eurographics Association, Eurographics Symposium on Parallel Graphics and Visualization, pp31-39, Barcelona, Spain
2016
C. Xu, S. Byna, V. Venkatesan, R. Sisneros, O. Kulkarni, M. Chaarawi, K. Chadalavada (2016): LIOProf: Exposing Lustre File System Behavior for I/O Middleware, presented at CUG 2016, London, England, U.K.
R. Sisneros (2016): A Classification of Parallel I/O Toward Demystifying HPC I/O Best Practices, presented at CUG 2016, London, England, U.K.
Matthieu Dorier, Robert Sisneros, Leonardo Bautista Gomez, Tom Peterka, Leigh Orf, Lokman Rahmani, Gabriel Antoniu, and Luc Bouge (2016): Adaptive Performance-Constrained in Situ Visualization of Atmospheric Simulations, Institute of Electrical & Electronics Engineers, 2016 IEEE International Conference on Cluster Computing (CLUSTER), pp269-278, Taipei, Taiwan
Matthieu Dorier, Gabriel Antoniu, Franck Cappello, Marc Snir, Robert Sisneros, Orcun Yildiz, Shadi Ibrahim, Tom Peterka, and Leigh Orf (2016): Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations, ACM Transactions on Parallel Computing, Association for Computing Machinery, Vol 3, Num 3, pp15:1-15:43
Robert Sisneros, Mohammad Raji, Mark W. Van Moer, and David Bock (2016): Chasing Rainbows: A Color-Theoretic Framework for Improving and Preserving Bad Colormaps, Springer International Publishing, Advances in Visual Computing (International Symposium on Visual Computing 2016), pp391-402, Las Vegas Nevada, U.S.A.
John E. Stone, Peter Messmer, Robert Sisneros, and Klaus Schulten (2016): High Performance Molecular Visualization: In-Situ and Parallel Rendering with EGL, Institute of Electrical and Electronics Engineers, 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp1014-1023, Chicago, Illinois, U.S.A.
Robert Sisneros and David Pugmire (2016): Tuned to Terrible: A Study of Parallel Particle Advection State of the Practice, Institute of Electrical & Electronics Engineers, 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp1058-1067, Chicago, Illinois, U.S.A.
2015
S. Byna, R. Sisneros, K. Chadalavada, Q. Koziol (2015): Tuning Parallel I/O on Blue Waters for Writing 10 Trillion Particles, presented at CUG 2015, Chicago, Illinois, U.S.A.
Robert Sisneros (2015): A Feature-First Approach to Clustering for Highlighting Regions of Interest in Scientific Data, Elsevier BV, Procedia Computer Science (15th annual International Conference On Computational Science, ICCS 2015), Vol 51, pp2207-2216, Reykjavík, Iceland
2014
R. Sisneros, K. Chadalavada (2014): Toward Understanding Congestion Protection Events on Blue Waters Via Visual Analytics, presented at CUG 2014, Lugano, Switzerland
J. Fullop, R. Sisneros (2014): A Diagnostic Utility For Analyzing Periods Of Degraded Job Performance, presented at CUG 2014, Lugano, Switzerland
Robert Sisneros, Joshi Fullop, B. David Semeraro, and Greg Bauer (2014): Ribbons: Enabling the Effective Use of HPC Utilization Data for System Support Staff, The Eurographics Association, EuroVis Workshop on Visual Analytics (EuroVA 2014), Swansea, Wales, U.K.
R. Sisneros (2014): Visualizing the Big (and Large) Data from an HPC Resource, Astronomical Society of the Pacific, ASP Conference Series: 9th Annual International Conference on Numerical Modeling of Space Plasma Flows (ASTRONUM 2014), Vol 498, pp240, Long Beach, California, U.S.A.
B. D. Semeraro, Robert Sisneros, Joshi Fullop, and Gregory H. Bauer (2014): It Takes a Village: Monitoring the Blue Waters Supercomputer, Institute of Electrical & Electronics Engineers, 2014 IEEE International Conference on Cluster Computing (CLUSTER), pp392-399, Madrid, Spain
2013
K. Chadalavada, R. Sisneros (2013): Analysis of the Blue Waters File System Architecture for Application I/O Performance, presented at CUG 2013, Napa Valley, California, U.S.A.
Matthieu Dorier, Robert Sisneros, Tom Peterka, Gabriel Antoniu, and Dave Semeraro (2013): Damaris/Viz: A Nonintrusive, Adaptable and User-Friendly in Situ Visualization Framework, IEEE, 2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV), pp67-75, Atlanta, Georgia, U.S.A.
2012
R. Sisneros, C. Malone, A. Nonaka, and S. Woosley (2012): Investigation of Turbulence in the Early Stages of a High Resolution Supernova Simulation, Institute of Electrical & Electronics Engineers, 2012 SC Companion: High Performance Computing, Networking Storage and Analysis (SC '12), Num 1557-1558, Salt Lake City, Utah, U.S.A.
2016
Robert Sisneros (2016): Impact Driven Research: Evaluating and Improving The De Facto Standard for Parallel Advection, 2016 Blue Waters Annual Report, pp170-171
Kenneth Moreland and Dirk Pleiter and T. Peterka, K. Isaacs, B. Muite, B. Raffin, U. Rüde, R. Sisneros, and G. H. Weber: Exascale Systems
Dagstuhl Seminar: In Situ Visualization for Computational Science; Leibniz, Germany, Jul 1, 2018
Robert Sisneros and Christoph Garth and D. Pugmire, T. Carrard, S. Frey, M. Larsen, K. Isaacs, N. Gauger, and B. Muite: Cost Models
Dagstuhl Seminar: In Situ Visualization for Computational Science; Leibniz, Germany, Jul 1, 2018
Bruno Raffin and Benson Muite and W. Bethel, C. Hansen, I. Hotz, N. Gauger, H.-W. Shen, M. Srinivasan, K. Moreland, K. Ono, D. Pleiter, A. Ribes Cortes, and R. Sisneros, G. Weber, R. Westerman, K. E. Isaacs, H. Yu: Convergence of HPC and Big Data
Dagstuhl Seminar: In Situ Visualization for Computational Science; Leibniz, Germany, Jul 1, 2018
David Bock, L. Orf, R. Sisneros: Visualization of a Tornado-producing Thunderstorm: A Study of Visual Representation
Scientific Visualization & Data Analytics Showcase at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '15); Austin, Texas, U.S.A., Nov 18, 2015
M. Scot Breitenfeld: Recent Progress in Tuning Performance of Large-scale I/O with Parallel HDF5
Supercomputing 2014, 9th Parallel Data Storage Workshop (SC '14); New Orleans, Louisiana, U.S.A., Nov 16, 2014
Robert Sisneros, L. Orf, and G. Bryan: Ultra-High Resolution Simulation of a Downburst-Producing Thunderstorm
Scientific Visualization Showcase at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '13); Denver, Colorado, U.S.A., Nov 18, 2013
Supercomputer storm blurs the lines between sim and reality
Aug 15, 2015
There's movie special effects and then there's this: a new supercomputer visualization that's so real, it actually blurs the line between simulation and reality. ... There's movie special effects and then there's this: a new supercomputer visualization that's so real, it actually blurs the line between simulation and reality.
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