Search results for "Prabhat"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller 0002, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown	Learning from learning machines: a new generation of AI technology to meet the needs of science.	CoRR	2021	DBLP BibTeX RDF
1	Jin-Long Wu, Karthik Kashinath, Adrian Albert, Dragos Chirila, Prabhat, Heng Xiao	Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems.	J. Comput. Phys.	2020	DBLP DOI BibTeX RDF
1	Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar	MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework.	CoRR	2020	DBLP BibTeX RDF
1	Nicholas Choma, Daniel Murnane, Xiangyang Ju, Paolo Calafiura, Sean Conlon, Steven Farrell, Prabhat, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Panagiotis Spentzouris, Jean-Roch Vlimant, Maria Spiropulu, Adam Aurisano, Jeremy Hewes, Aristeidis Tsaris, Kazuhiro Terao, Tracy L. Usher	Track Seeding and Labelling with Embedded-space Graph Neural Networks.	CoRR	2020	DBLP BibTeX RDF
1	Grzegorz Muszynski, Prabhat, Jan Balewski, Karthik Kashinath, Michael F. Wehner, Vitaliy Kurlin	Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data.	ICPR	2020	DBLP DOI BibTeX RDF
1	Mahesh Balasubramanian 0001, Trevor D. Ruiz, Brandon Cook 0001, Prabhat, Sharmodeep Bhattacharyya, Aviral Shrivastava, Kristofer E. Bouchard	Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data.	IPDPS	2020	DBLP DOI BibTeX RDF
1	Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar	MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework.	SC	2020	DBLP DOI BibTeX RDF
1	Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff	Alchemist: An Apache Spark ⇔ MPI interface.	Concurr. Comput. Pract. Exp.	2019	DBLP DOI BibTeX RDF
1	Jeffrey Regier, Keno Fischer, Kiran Pamnany, Andreas Noack, Jarrett Revels, Maximilian Lam, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat	Cataloging the visible universe through Bayesian inference in Julia at petascale.	J. Parallel Distributed Comput.	2019	DBLP DOI BibTeX RDF
1	Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu 0002, Andreas Munk 0001, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood	Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale.	CoRR	2019	DBLP BibTeX RDF
1	Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston, Prabhat, George E. Karniadakis	Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs.	CoRR	2019	DBLP BibTeX RDF
1	Adam Rupe, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor W. Lee, Prabhat, James P. Crutchfield	DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems.	CoRR	2019	DBLP BibTeX RDF
1	Chiyu Max Jiang, Jingwei Huang 0001, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner	Spherical CNNs on Unstructured Grids.	CoRR	2019	DBLP BibTeX RDF
1	Adam Rupe, Karthik Kashinath, Nalini Kumar, Victor W. Lee, Prabhat, James P. Crutchfield	Towards Unsupervised Segmentation of Extreme Weather Events.	CoRR	2019	DBLP BibTeX RDF
1	Babak Behzad, Surendra Byna, Prabhat, Marc Snir	Optimizing I/O Performance of HPC Applications with Autotuning.	ACM Trans. Parallel Comput.	2019	DBLP DOI BibTeX RDF
1	Markus Reichstein, Gustau Camps-Valls, Bjorn Stevens, Martin Jung 0002, Joachim Denzler, Nuno Carvalhais, Prabhat	Deep learning and process understanding for data-driven Earth system science.	Nat.	2019	DBLP DOI BibTeX RDF
1	Chao Jiang, Dave Ojika, Thorsten Kurth, Prabhat, Sofia Vallecorsa, Bhavesh Patel, Herman Lam	Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel® FPGAs.	ISC Workshops	2019	DBLP DOI BibTeX RDF
1	Atilim Gunes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Saeid Naderiparizi, Andreas Munk 0001, Jialin Liu 0002, Bradley Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood	Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.	NeurIPS	2019	DBLP BibTeX RDF
1	Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat	Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events.	WACV	2019	DBLP DOI BibTeX RDF
1	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	Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs.	DLS@SC	2019	DBLP DOI BibTeX RDF
1	Adam Rupe, Prabhat, James P. Crutchfield, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor W. Lee	DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems.	MLHPC@SC	2019	DBLP DOI BibTeX RDF
1	Atilim Günes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu 0002, Andreas Munk 0001, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood	Etalumis: bringing probabilistic programming to scientific simulators at scale.	SC	2019	DBLP DOI BibTeX RDF
1	Chiyu Max Jiang, Jingwei Huang 0001, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner	Spherical CNNs on Unstructured Grids.	ICLR (Poster)	2019	DBLP BibTeX RDF
1	Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo	Learning to Focus and Track Extreme Climate Events.	BMVC	2019	DBLP BibTeX RDF
1	Kristofer E. Bouchard, James B. Aimone, Miyoung Chun, Thomas Dean, Michael Denker, Markus Diesmann, David Donofrio, Loren M. Frank, Narayanan Kasthuri, Christof Koch, Oliver Rübel, Horst D. Simon, Friedrich T. Sommer, Prabhat	International Neuroscience Initiatives through the Lens of High-Performance Computing.	Computer	2018	DBLP DOI BibTeX RDF
1	Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna	Graph Neural Networks for IceCube Signal Classification.	CoRR	2018	DBLP BibTeX RDF
1	Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff	Alchemist: An Apache Spark MPI Interface.	CoRR	2018	DBLP BibTeX RDF
1	Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Karna, Diana Moise, Simon J. Pennycook, Kristyn J. Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F. Ringenburg, Prabhat, Victor W. Lee	CosmoFlow: Using Deep Learning to Learn the Universe at Scale.	CoRR	2018	DBLP BibTeX RDF
1	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	Exascale Deep Learning for Climate Analytics.	CoRR	2018	DBLP BibTeX RDF
1	Mahesh Balasubramanian 0001, Trevor D. Ruiz, Brandon Cook 0001, Sharmodeep Bhattacharyya, Prabhat, Aviral Shrivastava, Kristofer E. Bouchard	Optimizing the Union of Intersections LASSO (UoILASSO) and Vector Autoregressive (UoIVAR) Algorithms for Improved Statistical Estimation at Scale.	CoRR	2018	DBLP BibTeX RDF
1	Atilim Gunes Baydin, Lukas Heinrich, Wahid Bhimji, Bradley Gram-Hansen, Gilles Louppe, Lei Shao, Prabhat, Kyle Cranmer, Frank D. Wood	Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.	CoRR	2018	DBLP BibTeX RDF
1	Jeffrey Regier, Kiran Pamnany, Keno Fischer, Andreas Noack, Maximilian Lam, Jarrett Revels, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat	Cataloging the Visible Universe through Bayesian Inference at Petascale.	CoRR	2018	DBLP BibTeX RDF
1	Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff	Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist.	CoRR	2018	DBLP BibTeX RDF
1	Jeffrey Regier, Andrew C. Miller, David Schlegel, Ryan P. Adams, Jon D. McAuliffe, Prabhat	Approximate Inference for Constructing Astronomical Catalogs from Images.	CoRR	2018	DBLP BibTeX RDF
1	Haoyuan Xing, Sofoklis Floratos, Spyros Blanas, Suren Byna, Prabhat, Kesheng Wu, Paul Brown	ArrayBridge: Interweaving Declarative Array Processing in SciDB with Imperative HDF5-Based Programs.	ICDE	2018	DBLP DOI BibTeX RDF
1	Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna	Graph Neural Networks for IceCube Signal Classification.	ICMLA	2018	DBLP DOI BibTeX RDF
1	Steven Andrew Farrell, Aaron Vose, Oliver Evans, Matthew L. Henderson, Shreyas Cholia, Fernando Pérez, Wahid Bhimji, Shane Canon, Rollin C. Thomas, Prabhat	Interactive Distributed Deep Learning with Jupyter Notebooks.	ISC Workshops	2018	DBLP DOI BibTeX RDF
1	Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff	Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist.	KDD	2018	DBLP DOI BibTeX RDF
1	Jeffrey Regier, Kiran Pamnany, Keno Fischer, Andreas Noack, Maximilian Lam, Jarrett Revels, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin C. Thomas, Prabhat	Cataloging the Visible Universe Through Bayesian Inference at Petascale.	IPDPS	2018	DBLP DOI BibTeX RDF
1	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	Exascale deep learning for climate analytics.	SC	2018	DBLP BibTeX RDF
1	Jialin Liu 0002, 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	Evaluation of HPC Application I/O on Object Storage Systems.	PDSW-DISCS@SC	2018	DBLP DOI BibTeX RDF
1	Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Kärnä, Diana Moise, Simon J. Pennycook, Kristyn J. Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F. Ringenburg, Prabhat, Victor W. Lee	CosmoFlow: using deep learning to learn the universe at scale.	SC	2018	DBLP BibTeX RDF
1	Wahid Bhimji, Steven Andrew Farrell, Thorsten Kurth, Michela Paganini, Prabhat, Evan Racah	Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC.	CoRR	2017	DBLP BibTeX RDF
1	Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat	Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies.	CoRR	2017	DBLP BibTeX RDF
1	Amrita Mathuriya, Thorsten Kurth, Vivek Rane, Mustafa Mustafa, Lei Shao, Debbie Bard, Prabhat, Victor W. Lee	Scaling GRPC Tensorflow on 512 nodes of Cori Supercomputer.	CoRR	2017	DBLP BibTeX RDF
1	Eli Dart, Michael F. Wehner, Prabhat	An Assessment of Data Transfer Performance for Large-Scale Climate Data Analysis and Recommendations for the Data Infrastructure for CMIP6.	CoRR	2017	DBLP BibTeX RDF
1	Haoyuan Xing, Sofoklis Floratos, Spyros Blanas, Suren Byna, Prabhat, Kesheng Wu, Paul Brown	ArrayBridge: Interweaving declarative array processing with high-performance computing.	CoRR	2017	DBLP BibTeX RDF
1	Mario Lezcano Casado, Atilim Gunes Baydin, David Martínez-Rubio, Tuan Anh Le 0001, Frank D. Wood, Lukas Heinrich, Gilles Louppe, Kyle Cranmer, Karen Ng, Wahid Bhimji, Prabhat	Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators.	CoRR	2017	DBLP BibTeX RDF
1	Thorsten Kurth, Jian Zhang 0049, Nadathur Satish, Ioannis Mitliagkas, Evan Racah, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan 0002, Prabhat, Pradeep Dubey	Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data.	CoRR	2017	DBLP BibTeX RDF
1	Kristofer E. Bouchard, Alejandro F. Bujan, Farbod Roosta-Khorasani, Shashanka Ubaru, Prabhat, Antoine Snijders, Jian-Hua Mao, Edward F. Chang, Michael W. Mahoney, Sharmodeep Bhattacharyya	Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction.	NIPS	2017	DBLP BibTeX RDF
1	Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Prabhat, Chris Pal	ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events.	NIPS	2017	DBLP BibTeX RDF
1	Christopher S. Daley, Prabhat, Sudip S. Dosanjh, Nicholas J. Wright	Performance analysis of emerging data analytics and HPC workloads.	PDSW-DISCS@SC	2017	DBLP DOI BibTeX RDF
1	Thorsten Kurth, Jian Zhang 0049, 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 0002, Prabhat, Pradeep Dubey	Deep learning at 15PF: supervised and semi-supervised classification for scientific data.	SC	2017	DBLP DOI BibTeX RDF
1	Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat	Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies.	SC	2017	DBLP DOI BibTeX RDF
1	Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg, Lisa Gerhardt, Jey Kottalam, Jialin Liu 0002, Kristyn J. Maschhoff, Shane Canon, Jatin Chhugani, Pramod Sharma, Jiyan Yang, James Demmel, Jim Harrell, Venkat Krishnamurthy, Michael W. Mahoney, Prabhat	Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.	CoRR	2016	DBLP BibTeX RDF
1	Evan Racah, Christopher Beckham, Tegan Maharaj, Prabhat, Christopher J. Pal	Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets.	CoRR	2016	DBLP BibTeX RDF
1	Evan Racah, Seyoon Ko, Peter J. Sadowski, Wahid Bhimji, Craig Tull, Sang-Yun Oh, Pierre Baldi, Prabhat	Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks.	CoRR	2016	DBLP BibTeX RDF
1	Jeffrey Regier, Kiran Pamnany, Ryan Giordano, Rollin C. Thomas, David Schlegel, Jon McAuliffe, Prabhat	Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference.	CoRR	2016	DBLP BibTeX RDF
1	Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jialin Liu 0002, Peter J. Sadowski, Evan Racah, Surendra Byna, Craig Tull, Wahid Bhimji, Prabhat, Pradeep Dubey	PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures.	CoRR	2016	DBLP BibTeX RDF
1	Yunjie Liu, Evan Racah, Prabhat, Joaquin Correa, Amir Khosrowshahi, David Lavers, Kenneth Kunkel, Michael F. Wehner, William D. Collins	Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets.	CoRR	2016	DBLP BibTeX RDF
1	Oliver Rübel, Max Dougherty, Prabhat, Peter Denes, David Conant, Edward F. Chang, Kristofer E. Bouchard	Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience.	Frontiers Neuroinformatics	2016	DBLP DOI BibTeX RDF
1	Evan Racah, Seyoon Ko, Peter J. Sadowski, Wahid Bhimji, Craig Tull, Sang-Yun Oh, Pierre Baldi, Prabhat	Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks.	ICMLA	2016	DBLP DOI BibTeX RDF
1	Bin Dong 0002, Suren Byna, Kesheng Wu, Prabhat, Hans Johansen, Jeffrey N. Johnson, Noel Keen	Data Elevator: Low-Contention Data Movement in Hierarchical Storage System.	HiPC	2016	DBLP DOI BibTeX RDF
1	Alex Gittens, Jey Kottalam, Jiyan Yang, Michael F. Ringenburg, Jatin Chhugani, Evan Racah, Mohitdeep Singh, Yushu Yao, Curt Fischer, Oliver Rübel, Benjamin P. Bowen, Norman G. Lewis, Michael W. Mahoney, Venkat Krishnamurthy, Prabhat	A Multi-Platform Evaluation of the Randomized CX Low-Rank Matrix Factorization in Spark.	IPDPS Workshops	2016	DBLP DOI BibTeX RDF
1	Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jialin Liu 0002, Peter J. Sadowski, Evan Racah, Surendra Byna, Craig Tull, Wahid Bhimji, Prabhat, Pradeep Dubey	PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures.	IPDPS	2016	DBLP DOI BibTeX RDF
1	Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg, Lisa Gerhardt, Jey Kottalam, Jialin Liu 0002, Kristyn J. Maschhoff, Shane Canon, Jatin Chhugani, Pramod Sharma, Jiyan Yang, James Demmel, Jim Harrell, Venkat Krishnamurthy, Michael W. Mahoney, Prabhat	Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies.	IEEE BigData	2016	DBLP DOI BibTeX RDF
1	Andrew C. Miller, Albert Wu, Jeffrey Regier, Jon McAuliffe, Dustin Lang, Prabhat, David Schlegel, Ryan P. Adams	A Gaussian Process Model of Quasar Spectral Energy Distributions.	NIPS	2015	DBLP BibTeX RDF
1	Huong Luu, Marianne Winslett, William Gropp, Robert B. Ross, Philip H. Carns, Kevin Harms, Prabhat, Surendra Byna, Yushu Yao	A Multiplatform Study of I/O Behavior on Petascale Supercomputers.	HPDC	2015	DBLP DOI BibTeX RDF
1	Shane Snyder, Philip H. Carns, Robert Latham, Misbah Mubarak, Robert B. Ross, Christopher D. Carothers, Babak Behzad, Huong Vu Thanh Luu, Surendra Byna, Prabhat	Techniques for modeling large-scale HPC I/O workloads.	PMBS@SC	2015	DBLP DOI BibTeX RDF
1	Md. Mostofa Ali Patwary, Surendra Byna, Nadathur Rajagopalan Satish, Narayanan Sundaram, Zarija Lukic, Vadim Roytershteyn, Michael J. Anderson, Yushu Yao, Prabhat, Pradeep Dubey	BD-CATS: big data clustering at trillion particle scale.	SC	2015	DBLP DOI BibTeX RDF
1	Babak Behzad, Surendra Byna, Prabhat, Marc Snir	Pattern-driven parallel I/O tuning.	PDSW@SC	2015	DBLP DOI BibTeX RDF
1	Prabhat, Surendra Byna, Venkatram Vishwanath, Eli Dart, Michael F. Wehner, William D. Collins	TECA: Petascale Pattern Recognition for Climate Science.	CAIP (2)	2015	DBLP DOI BibTeX RDF
1	Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams	Scalable Bayesian Optimization Using Deep Neural Networks.	ICML	2015	DBLP BibTeX RDF
1	Jeffrey Regier, Andrew C. Miller, Jon McAuliffe, Ryan P. Adams, Matthew D. Hoffman, Dustin Lang, David Schlegel, Prabhat	Celeste: Variational inference for a generative model of astronomical images.	ICML	2015	DBLP BibTeX RDF
1	Babak Behzad, Surendra Byna, Stefan M. Wild, Prabhat, Marc Snir	Dynamic Model-Driven Parallel I/O Performance Tuning.	CLUSTER	2015	DBLP DOI BibTeX RDF
1	Babak Behzad, Surendra Byna, Stefan M. Wild, Prabhat, Marc Snir	Improving parallel I/O autotuning with performance modeling.	HPDC	2014	DBLP DOI BibTeX RDF
1	Wei-Chen Chen, George Ostrouchov, David Pugmire, Prabhat, Michael F. Wehner	A Parallel EM Algorithm for Model-Based Clustering Applied to the Exploration of Large Spatio-Temporal Data.	Technometrics	2013	DBLP DOI BibTeX RDF
1	Dean N. Williams, Peer-Timo Bremer, Charles M. Doutriaux, John Patchett, Sean Williams, Galen M. Shipman, Ross Miller, David Pugmire, Brian E. Smith, Chad A. Steed, E. Wes Bethel, Hank Childs, Harinarayan Krishnan, Prabhat, Michael F. Wehner, Cláudio T. Silva, Emanuele Santos, David Koop, Tommy Ellqvist, Jorge Poco, Berk Geveci, Aashish Chaudhary, Andy Bauer, Alexander Pletzer, Dave Kindig, Gerald Potter, Thomas P. Maxwell	Ultrascale Visualization of Climate Data.	Computer	2013	DBLP DOI BibTeX RDF
1	Christopher J. Paciorek, Benjamin Lipshitz, Wei Zhuo 0001, Prabhat, Cari Kaufman, Rollin C. Thomas	Parallelizing Gaussian Process Calculations in R	CoRR	2013	DBLP BibTeX RDF
1	E. Wes Bethel, Prabhat, Surendra Byna, Oliver Rübel, K. John Wu, Michael F. Wehner	Why high performance visual data analytics is both relevant and difficult.	Visualization and Data Analysis	2013	DBLP DOI BibTeX RDF
1	Babak Behzad, Joey Huchette, Huong Vu Thanh Luu, Ruth A. Aydt, Surendra Byna, Yushu Yao, Quincey Koziol, Prabhat	A framework for auto-tuning HDF5 applications.	HPDC	2013	DBLP BibTeX RDF
1	Babak Behzad, Huong Vu Thanh Luu, Joseph Huchette, Surendra Byna, Prabhat, Ruth A. Aydt, Quincey Koziol, Marc Snir	Taming parallel I/O complexity with auto-tuning.	SC	2013	DBLP DOI BibTeX RDF
1	Richard L. Martin 0001, Prabhat, David Donofrio, James A. Sethian, Maciej Haranczyk	Accelerating analysis of void space in porous materials on multicore and GPU platforms.	Int. J. High Perform. Comput. Appl.	2012	DBLP DOI BibTeX RDF
1	Prabhat, Oliver Rübel, Surendra Byna, Kesheng Wu, Fuyu Li, Michael F. Wehner, Wes Bethel	TECA: A Parallel Toolkit for Extreme Climate Analysis.	ICCS	2012	DBLP DOI BibTeX RDF
1	Allen R. Sanderson, Brad Whitlock, Oliver Rübel, Hank Childs, Gunther H. Weber, Prabhat, Kenseng Wu	A System for Query Based Analysis and Visualization.	EuroVA@EuroVis	2012	DBLP DOI BibTeX RDF
1	Mehmet Balman, Eric Pouyoul, Yushu Yao, E. Wes Bethel, Burlen Loring, Prabhat, John Shalf, Alex Sim, Brian L. Tierney	Experiences with 100Gbps network applications.	DICT@HPDC	2012	DBLP DOI BibTeX RDF
1	Babak Behzad, Joey Huchette, Huong Luu, Ruth A. Aydt, Quincey Koziol, Prabhat, Surendra Byna, Mohamad Chaarawi, Yushu Yao	Abstract: Auto-Tuning of Parallel IO Parameters for HDF5 Applications.	SC Companion	2012	DBLP DOI BibTeX RDF
1	Surendra Byna, Jerry Chi-Yuan Chou, Oliver Rübel, 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	Parallel I/O, analysis, and visualization of a trillion particle simulation.	SC	2012	DBLP DOI BibTeX RDF
1	Wei Zhuo 0001, Prabhat, Christopher J. Paciorek, Cari Kaufman, Wes Bethel	Parallel Kriging Analysis for Large Spatial Datasets.	ICDM Workshops	2011	DBLP DOI BibTeX RDF
1	Jerry Chi-Yuan Chou, Mark Howison, Brian Austin, Kesheng Wu, Ji Qiang, E. Wes Bethel, Arie Shoshani, Oliver Rübel, Prabhat, Robert D. Ryne	Parallel index and query for large scale data analysis.	SC	2011	DBLP DOI BibTeX RDF
1	Jerry Chi-Yuan Chou, Kesheng Wu, Prabhat	FastQuery: A General Indexing and Querying System for Scientific Data.	SSDBM	2011	DBLP DOI BibTeX RDF
1	Jerry Chi-Yuan Chou, Kesheng Wu, Prabhat	FastQuery: A Parallel Indexing System for Scientific Data.	CLUSTER	2011	DBLP DOI BibTeX RDF
1	Oliver Rübel, Sean Ahern, E. Wes Bethel, Mark D. Biggin, Hank Childs, Estelle Cormier-Michel, Angela H. DePace, Michael B. Eisen, Charless C. Fowlkes, Cameron G. R. Geddes, Hans Hagen, Bernd Hamann, Min-Yu Huang, Soile V. E. Keränen, David W. Knowles, Cris L. Luengo Hendriks, Jitendra Malik, Jeremy S. Meredith, Peter Messmer, Prabhat	Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data.	ICCS	2010	DBLP DOI BibTeX RDF
1	Hank Childs, David Pugmire, Sean Ahern, Brad Whitlock, Mark Howison, Prabhat, Gunther H. Weber, E. Wes Bethel	Extreme Scaling of Production Visualization Software on Diverse Architectures.	IEEE Computer Graphics and Applications	2010	DBLP DOI BibTeX RDF
1	Prabhat, Andrew S. Forsberg, Michael Katzourin, Kristi Wharton, Mel Slater	A Comparative Study of Desktop, Fishtank, and Cave Systems for the Exploration of Volume Rendered Confocal Data Sets.	IEEE Trans. Vis. Comput. Graph.	2008	DBLP DOI BibTeX RDF
1	Daniela Mayumi Ushizima, Oliver Rübel, Prabhat, Gunther H. Weber, E. Wes Bethel, Cecilia R. Aragon, Cameron G. R. Geddes, Estelle Cormier-Michel, Bernd Hamann, Peter Messmer, Hans Hagen	Automated Analysis for Detecting Beams in Laser Wakefield Simulations.	ICMLA	2008	DBLP DOI BibTeX RDF
1	Oliver Rübel, 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	High performance multivariate visual data exploration for extremely large data.	SC	2008	DBLP DOI BibTeX RDF
1	Andrew S. Forsberg, Prabhat, Graff Haley, Andrew Bragdon, Joseph Levy, Caleb I. Fassett, David Shean, James W. Head III, Sarah Milkovich, Mark A. Duchaineau	Adviser: Immersive Field Work for Planetary Geoscientists.	IEEE Computer Graphics and Applications	2006	DBLP DOI BibTeX RDF	geological sciences, virtual reality, GIS, scientific visualization, terrain rendering, planetary exploration
1	Prabhat, Samuel G. Fulcomer	Experiences in driving a cave with IBM scalable graphics engine-3 (SGE-3) prototypes.	VRST	2005	DBLP DOI BibTeX RDF	compositors, virtual reality, cave, distributed graphics

Publications of "Prabhat" ( http://dblp.L3S.de/Authors/Prabhat )