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Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers

2016 Supercomputing Frontiers and Innovations  
These reduced data are used for analysis and visualization in a variety of different ways.  ...  High performance computing applications are producing increasingly large amounts of data and placing enormous stress on current capabilities for traditional post-hoc visualization techniques.  ...  Acknowledgements This work was supported by the Scalable Data Management, Analysis, and Visualization (SDAV) which is funded by the DOE Office of Science through the Office of Advanced Scientific Computing  ... 
doi:10.14529/jsfi160404 fatcat:hw5jzupb7ngktddhkljkjjvata

Multi-space analysis techniques for spatio-temporal simulation data visualization: A survey

Xueyi Chen, Liming Shen, Ziqi Sha, Richen Liu, Siming Chen, Genlin Ji, Chao Tan
2019 Visual Informatics  
From the perspective of data exploration and analysis, we noticed that many works focusing on spatiotemporal simulation data often share similar exploration techniques, for example, the exploration schemes  ...  (e.g, visual steering, parameter space projection, etc.) and data processing in feature space (e.g, feature definition and extraction, sampling, reduction and clustering of simulation data, etc.  ...  Acknowledgment This work was supported by the National Natural Science Foundation of China (NSFC) Grant Nos. 61702271 and 61702270.  ... 
doi:10.1016/j.visinf.2019.08.002 fatcat:g3sftl24avctbjdsk3cmctt5be

Data Exploration at the Exascale

2015 Supercomputing Frontiers and Innovations  
However, new opportunities, in terms of increased access to data, may blunt this tension and allow for both sufficient data reduction and also more accurate analysis.  ...  Unfortunately, traditional in situ techniques are largely incongruent with exploratory visualization, which is an important activity to enable understanding of simulation data.  ...  Figure 1 . 1 The new paradigm for exploring exascale simulation data via in situ transformation and reduction and post hoc analysis Figure 2 . 2 Comparison of Eulerian and Lagrangian techniques Hank  ... 
doi:10.14529/jsfi150301 fatcat:hfmkphiyzjd25ithma24z7sztu

Visualization-Driven Structural and Statistical Analysis of Turbulent Flows [chapter]

Kenny Gruchalla, Mark Rast, Elizabeth Bradley, John Clyne, Pablo Mininni
2009 Lecture Notes in Computer Science  
In data from a 1024 3 simulation of a forced turbulent flow, VAPOR allowed us to perform a visual data exploration of the flow properties at interactive speeds, leading to the discovery of novel scientific  ...  Interactivity enables real-time hypothesis testing and scientific discovery, but can generally not be achieved without some level of data reduction.  ...  Acknowledgements We wish to thank the National Science Foundation and the National Center for Atmospheric Research for their computational support.  ... 
doi:10.1007/978-3-642-03915-7_28 fatcat:hsaw22w35zak7e4llvrnvtyr2e

Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations [article]

Junghoon Chae, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan, Chad Steed
2019 bioRxiv   pre-print
Subsequently, the results of the embedding models are visualized for model evaluation and analysis of the extracted underlying features.  ...  However, most of the existing visualizations for embeddings have limitations in evaluating the embedding models and understanding the complex simulation data.  ...  Embedding projector [10] demonstrated an interactive visualization system for embeddings and analysis of high-dimensional data to mitigate the limitations.  ... 
doi:10.1101/830844 fatcat:fhmqbdal5jdn7btzmcb5pqeihm

Large-scale data visualization

Kwan-Liu Ma
2001 IEEE Computer Graphics and Applications  
On a high level, four other areas are worth mentioning here: data reduction, scalable parallel visualization, high-resolution displays, and user interfaces for data visualization.  ...  These ASCI-class projects can lead to revolutionary advances in science and engineering only with appropriate data analysis and visualization support.  ...  Thanks also go to Theresa-Marie Rhyne and the CG&A editorial staff. Without them, this special issue would not have been possible.  ... 
doi:10.1109/mcg.2001.933520 fatcat:ex2lhilbkffo3arpxnr4hdsulq

Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model [article]

Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Hank Childs
2020 arXiv   pre-print
We run experiments with as many as 2048 GPUs and with multiple simulation data sets.  ...  For the experiment configurations we consider, our findings demonstrate that our communication-free technique saves as much as 2x to 4x in execution time in situ, while staying nearly as accurate quantitatively  ...  Department of Energy Office of Science and the National Nuclear Security Administration.  ... 
arXiv:2004.02003v1 fatcat:qykhrwt2kncepkqvwien2vthne

Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey

Johannes Kehrer, Helwig Hauser
2013 IEEE Transactions on Visualization and Computer Graphics  
Visualization and interaction techniques are thus often combined with computational analysis.  ...  In this survey, we study existing methods for visualization and interactive visual analysis of multi-faceted scientific data.  ...  We are indebted to Thomas Nocke from the Potsdam Institute for Climate Impact Research (PIK), Germany, for fruitful discussions and input to earlier work on climate data that was the basis for this survey  ... 
doi:10.1109/tvcg.2012.110 pmid:22508905 fatcat:22nogept4zdzxab5bwrfqf6uqy

Spatial and Temporal Processing of Threshold Data for Detection of Progressive Glaucomatous Visual Field Loss

Paul G. D. Spry
2002 Archives of Ophthalmology  
Methods: Longitudinal visual field data (Full-Threshold Program 30-2 test point pattern) were simulated using a computer model of glaucomatous visual field progression.  ...  Results: Spatial processing reduced PLR sensitivity to levels below that achieved for analysis of unprocessed data for small progressive defects (Յ9 locations) or at the low true progression rate (−1 dB  ...  Accepted for publication September 5, 2001  ... 
doi:10.1001/archopht.120.2.173 pmid:11831919 fatcat:wns5mjx44naxdhqmoovlnnveju

Cinema image-based in situ analysis and visualization of MPAS-ocean simulations

Patrick O'Leary, James Ahrens, Sébastien Jourdain, Scott Wittenburg, David H. Rogers, Mark Petersen
2016 Parallel Computing  
Current analysis and visualization options at extreme scale are presented in opposition: write files to disk for interactive, exploratory analysis, or perform in situ analysis to save data products about  ...  Due to power and I/O constraints associated with extreme scale scientific simulations, in situ analysis and visualization will become a critical component to scientific exploration and discovery.  ...  Acknowledgments The authors would like to thank Patricia Fasel 1 , Andrew Bauer 2 , Benjamin Boeckel 2 , Dave DeMarle 2 and Zach Mullen 2 for their development work involving either in situ MPAS-Ocean  ... 
doi:10.1016/j.parco.2015.10.005 fatcat:ijnklselqbfyxadpnp2hplr6rq

Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth [article]

Fangfei Lan, Michael Young, Lauren Anderson, Anders Ynnerman, Alexander Bock, Michelle A. Borkin, Angus G. Forbes, Juna A. Kollmeier, Bei Wang
2021 arXiv   pre-print
The main goal is to provide a reference point to bring modern data analysis and visualization techniques to the rich datasets in astrophysics.  ...  We survey representative papers from both astrophysics and visualization and provide a taxonomy of existing approaches based on data analysis tasks.  ...  Acknowledgements The authors would like to thank the constructive suggestions by the reviewers and the generous funding by the following enti  ... 
arXiv:2106.00152v1 fatcat:i4e6jsx5k5flbgk7hbf5i5cpre

DimStiller: Workflows for dimensional analysis and reduction

Stephen Ingram, Tamara Munzner, Veronika Irvine, Melanie Tory, Steven Bergner, Torsten Moller
2010 2010 IEEE Symposium on Visual Analytics Science and Technology  
DimStiller is a system for dimensionality reduction and analysis.  ...  It frames the task of understanding and transforming input dimensions as a series of analysis steps where users transform data tables by chaining together different techniques, called operators, into pipelines  ...  ACKNOWLEDGEMENTS This work was supported by the NSERC Strategic Grant "Visually Enhanced Exploration of High-Dimensional Data".  ... 
doi:10.1109/vast.2010.5652392 dblp:conf/ieeevast/IngramMITBM10 fatcat:yqe62rjgxjeuhj3smqc3bgncx4

In-situ processing and visualization for ultrascale simulations

Kwan-Liu Ma, Chaoli Wang, Hongfeng Yu, Anna Tikhonova
2007 Journal of Physics, Conference Series  
A common practice is to use a separate parallel computer to prepare data for subsequent analysis and visualization.  ...  As we move into peta-and exa-scale computing, simply dumping as much raw simulation data as the storage capacity allows for post-processing analysis and visualization is no longer a viable approach.  ...  DE-FC02-06ER25777, DOE-FC02-01ER41202, and DOE-FG02-05ER54817. We would like to thank all our DOE and SciDAC application scientist collaborators.  ... 
doi:10.1088/1742-6596/78/1/012043 fatcat:ryq7fechibdxhe3yrmai4xzeu4

Guest editorial—Uncertainty and parameter space analysis in visualization

Christoph Heinzl, Stefan Bruckner, Eduard Gröller
2014 Computers & graphics  
All these areas require methods and techniques which help domain specialists to understand the processes involved in data generation, the reliability of the data, and the distribution of and reasons for  ...  In Visual analysis of dimensionality reduction quality for parameterized projections, Martins et al. [6] introduce a set of interactive visualizations for dimensionality reduction algorithms that aim to  ...  especially to the Editor in Chief Joaquim Jorge for his support when setting up this special section, to Lisa Gordon who was key to keep this process on track as well as to all the anonymous reviewers  ... 
doi:10.1016/j.cag.2014.03.001 fatcat:6pibtvhynrgu5jabxcl7uxpl2u

A Space-Efficient Method for Navigable Ensemble Analysis and Visualization [article]

Alok Hota, Mohammad Raji, Tanner Hobson, Jian Huang
2017 arXiv   pre-print
The data output of many controlled simulation runs, the ensemble, is used to verify correctness and quantify uncertainty.  ...  We present a navigable ensemble analysis tool, NEA, for interactive exploration of ensembles.  ...  Mississippi State University provided the WRF simulation data. The authors would like to thank the anonymous reviewers for their valuable comments and suggestions.  ... 
arXiv:1710.07631v1 fatcat:grrbd4zfbnhstbzibhjmbm553y
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