Prabhat
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
18
Active years
2005–2024
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | IECON | Impact of Discretization Techniques on Model Predictive Control of SRMs. | Prabhat, A. V. Ravi Teja |
| 2020 | ICPR | Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data. | Grzegorz Muszynski, Prabhat, Jan Balewski, Karthik Kashinath, Michael F. Wehner, Vitaliy Kurlin |
| 2020 | SC | MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework. | Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar |
| 2019 | BMVC | Learning to Focus and Track Extreme Climate Events. | Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo |
| 2019 | ICLR | Spherical CNNs on Unstructured Grids. | Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Niener |
| 2019 | WACV | Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events. | Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat |
| 2019 | SC | Etalumis: bringing probabilistic programming to scientific simulators at scale. | Atilim Gnes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood |
| 2019 | SC | DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems. | Adam Rupe, Prabhat, James P. Crutchfield, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor W. Lee |
| 2019 | SC | Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs. | Liu Yang, Prabhat, George E. Karniadakis, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston |
| 2018 | ICDE | ArrayBridge: Interweaving Declarative Array Processing in SciDB with Imperative HDF5-Based Programs. | Haoyuan Xing, Sofoklis Floratos, Spyros Blanas, Suren Byna, Prabhat, Kesheng Wu, Paul Brown |
| 2018 | ICMLA | Graph Neural Networks for IceCube Signal Classification. | Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna |
| 2018 | KDD | Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. | Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff |
| 2018 | SC | Evaluation of HPC Application I/O on Object Storage Systems. | Jialin Liu, Quincey Koziol, Gregory F. Butler, Neil Fortner, Mohamad Chaarawi, Houjun Tang, Suren Byna, Glenn K. Lockwood, Ravi Cheema, Kristy A. Kallback-Rose, Damian Hazen, Prabhat |
| 2018 | SC | Exascale deep learning for climate analytics. | Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston |
| 2018 | SC | CosmoFlow: using deep learning to learn the universe at scale. | Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Krn, Diana Moise, Simon J. Pennycook, Kristyn J. Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F. Ringenburg, Prabhat, Victor W. Lee |
| 2017 | SC | Performance analysis of emerging data analytics and HPC workloads. | Christopher S. Daley, Prabhat, Sudip S. Dosanjh, Nicholas J. Wright |
| 2017 | SC | Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies. | Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat |
| 2017 | SC | Deep learning at 15PF: supervised and semi-supervised classification for scientific data. | Thorsten Kurth, Jian Zhang, Nadathur Satish, Evan Racah, Ioannis Mitliagkas, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey |
| 2016 | HiPC | Data Elevator: Low-Contention Data Movement in Hierarchical Storage System. | Bin Dong, Suren Byna, Kesheng Wu, Prabhat, Hans Johansen, Jeffrey N. Johnson, Noel Keen |
| 2016 | ICMLA | Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks. | Evan Racah, Seyoon Ko, Peter J. Sadowski, Wahid Bhimji, Craig Tull, Sang-Yun Oh, Pierre Baldi, Prabhat |
| 2015 | CAIP | TECA: Petascale Pattern Recognition for Climate Science. | Prabhat, Surendra Byna, Venkatram Vishwanath, Eli Dart, Michael F. Wehner, William D. Collins |
| 2015 | CLUSTER | Dynamic Model-Driven Parallel I/O Performance Tuning. | Babak Behzad, Surendra Byna, Stefan M. Wild, Prabhat, Marc Snir |
| 2015 | HPDC | A Multiplatform Study of I/O Behavior on Petascale Supercomputers. | Huong Luu, Marianne Winslett, William Gropp, Robert B. Ross, Philip H. Carns, Kevin Harms, Prabhat, Surendra Byna, Yushu Yao |
| 2015 | ICML | Celeste: Variational inference for a generative model of astronomical images. | Jeffrey Regier, Andrew C. Miller, Jon McAuliffe, Ryan P. Adams, Matthew D. Hoffman, Dustin Lang, David Schlegel, Prabhat |
| 2015 | ICML | Scalable Bayesian Optimization Using Deep Neural Networks. | Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams |
| 2015 | SC | Pattern-driven parallel I/O tuning. | Babak Behzad, Surendra Byna, Prabhat, Marc Snir |
| 2015 | SC | BD-CATS: big data clustering at trillion particle scale. | Md. Mostofa Ali Patwary, Surendra Byna, Nadathur Rajagopalan Satish, Narayanan Sundaram, Zarija Lukic, Vadim Roytershteyn, Michael J. Anderson, Yushu Yao, Prabhat, Pradeep Dubey |
| 2015 | SC | Techniques for modeling large-scale HPC I/O workloads. | Shane Snyder, Philip H. Carns, Robert Latham, Misbah Mubarak, Robert B. Ross, Christopher D. Carothers, Babak Behzad, Huong Vu Thanh Luu, Surendra Byna, Prabhat |
| 2014 | HPDC | Improving parallel I/O autotuning with performance modeling. | Babak Behzad, Surendra Byna, Stefan M. Wild, Prabhat, Marc Snir |
| 2013 | HPDC | A framework for auto-tuning HDF5 applications. | Babak Behzad, Joey Huchette, Huong Vu Thanh Luu, Ruth A. Aydt, Surendra Byna, Yushu Yao, Quincey Koziol, Prabhat |
| 2013 | SC | Taming parallel I/O complexity with auto-tuning. | Babak Behzad, Huong Vu Thanh Luu, Joseph Huchette, Surendra Byna, Prabhat, Ruth A. Aydt, Quincey Koziol, Marc Snir |
| 2013 | VDA | Why high performance visual data analytics is both relevant and difficult. | E. Wes Bethel, Prabhat, Surendra Byna, Oliver Rbel, K. John Wu, Michael F. Wehner |
| 2012 | HPDC | Experiences with 100Gbps network applications. | Mehmet Balman, Eric Pouyoul, Yushu Yao, E. Wes Bethel, Burlen Loring, Prabhat, John Shalf, Alex Sim, Brian L. Tierney |
| 2012 | SC | Abstract: Auto-Tuning of Parallel IO Parameters for HDF5 Applications. | Babak Behzad, Joey Huchette, Huong Luu, Ruth A. Aydt, Quincey Koziol, Prabhat, Surendra Byna, Mohamad Chaarawi, Yushu Yao |
| 2012 | SC | Parallel I/O, analysis, and visualization of a trillion particle simulation. | Surendra Byna, Jerry Chi-Yuan Chou, Oliver Rbel, Prabhat, Homa Karimabadi, William S. Daughton, Vadim Roytershteyn, E. Wes Bethel, Mark Howison, Ke-Jou Hsu, Kuan-Wu Lin, Arie Shoshani, Andrew Uselton, Kesheng Wu |
| 2011 | CLUSTER | FastQuery: A Parallel Indexing System for Scientific Data. | Jerry Chi-Yuan Chou, Kesheng Wu, Prabhat |
| 2011 | ICDM | Parallel Kriging Analysis for Large Spatial Datasets. | Wei Zhuo, Prabhat, Christopher J. Paciorek, Cari Kaufman, Wes Bethel |
| 2011 | SC | Parallel index and query for large scale data analysis. | Jerry Chi-Yuan Chou, Mark Howison, Brian Austin, Kesheng Wu, Ji Qiang, E. Wes Bethel, Arie Shoshani, Oliver Rbel, Prabhat, Robert D. Ryne |
| 2011 | SSDBM | FastQuery: A General Indexing and Querying System for Scientific Data. | Jerry Chi-Yuan Chou, Kesheng Wu, Prabhat |
| 2008 | ICMLA | Automated Analysis for Detecting Beams in Laser Wakefield Simulations. | Daniela Mayumi Ushizima, Oliver Rbel, Prabhat, Gunther H. Weber, E. Wes Bethel, Cecilia R. Aragon, Cameron G. R. Geddes, Estelle Cormier-Michel, Bernd Hamann, Peter Messmer, Hans Hagen |
| 2008 | SC | High performance multivariate visual data exploration for extremely large data. | Oliver Rbel, Prabhat, Kesheng Wu, Hank Childs, Jeremy S. Meredith, Cameron G. R. Geddes, Estelle Cormier-Michel, Sean Ahern, Gunther H. Weber, Peter Messmer, Hans Hagen, Bernd Hamann, E. Wes Bethel |
| 2005 | VRST | Experiences in driving a cave with IBM scalable graphics engine-3 (SGE-3) prototypes. | Prabhat, Samuel G. Fulcomer |