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Fast Multiresolution Reads of Massive Simulation Datasets [chapter]

Sidharth Kumar, Cameron Christensen, John A. Schmidt, Peer-Timo Bremer, Eric Brugger, Venkatram Vishwanath, Philip Carns, Hemanth Kolla, Ray Grout, Jacqueline Chen, Martin Berzins, Giorgio Scorzelli (+1 others)
2014 Lecture Notes in Computer Science  
Today's massively parallel simulation codes can produce output ranging up to many terabytes of data.  ...  We demonstrate interactive view-dependent visualization and analysis of massive scientific datasets using low-power commodity hardware, and we compare read performance with other parallel file formats  ...  Our work includes three significant contributions for reading massive simulation data: interactive view-dependent visualization of massive datasets using VisIt efficient parallel reads of complete checkpoint  ... 
doi:10.1007/978-3-319-07518-1_20 fatcat:uiq7bujtnrep5nxt3yulthg3su

DynaM: Dynamic Multiresolution Data Representation for Large-Scale Scientific Analysis

Yuan Tian, Scott Klasky, Weikuan Yu, Bin Wang, Hasan Abbasi, Norbert Podhorszki, Ray Grout
2013 2013 IEEE Eighth International Conference on Networking, Architecture and Storage  
Fast growing large-scale systems enable scientific applications to run at a much larger scale and accordingly produce gigantic volumes of simulation output.  ...  During the simulation runs, it is also desirable for scientists to be able to interactively monitor and steer the progress of simulation.  ...  S3D is a highfidelity, massively parallel solver for turbulent reacting flows. It employs a 3-D domain decomposition to parallelize the simulation space.  ... 
doi:10.1109/nas.2013.21 dblp:conf/nas/TianKYWAPG13 fatcat:6abjcvbwfrf55ccny2chihyjhi

Page 6279 of Mathematical Reviews Vol. , Issue 2003h [page]

2003 Mathematical Reviews  
In this paper, we discuss the crucial role multiresolution techniques can play in the pre-processing of massive datasets.  ...  (1-LLL-AC; Livermore, CA); Kamath, Chandrika (1-LLL-AC; Livermore, CA) The role of multiresolution in mining massive image datasets.  ... 

Web-based terrain and vector maps visualization for Wenchuan earthquake

Liqiang Zhang, Zhizhong Kang, Jonathan Li, Ling Yang
2010 International Journal of Applied Earth Observation and Geoinformation  
Due to huge spatial datasets of Wenchuan, China and narrow network bandwidth, general-purpose applications are difficult to transmit and visualize these datasets on the network.  ...  The application provides an effective way for powerful access and manipulation of large-scale Wenchuan datasets. ß  ...  Acknowledgements This research was funded by NationalNatural Science Foundation of China (No. 60736007 and 60972128).  ... 
doi:10.1016/j.jag.2010.01.001 fatcat:jlevmyvdgzgghg4donmh276xim

COVRA: A compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks

Enrico Gobbetti, José Antonio Iglesias Guitián, Fabio Marton
2012 Computer graphics forum (Print)  
The quality and performance of our approach is demonstrated on massive static and time-varying datasets.  ...  In our approach, the volume is decomposed into a multiresolution hierarchy of bricks.  ...  The CPU then reads back the visibility array and updates the visibility status of rendered octree bricks.  ... 
doi:10.1111/j.1467-8659.2012.03124.x fatcat:c4klzynmyncvfczc7bkebv3gfe

Multi-layered Image Caching for Distributed Rendering of Large Multiresolution Datasets [article]

Jonathan Strasser, Valerio Pascucci, Kwan-Lui Ma
2006 Eurographics Symposium on Parallel Graphics and Visualization  
The capability to visualize large volume datasets has applications in a myriad of scientific fields.  ...  This paper presents a large data visualization solution in the form of distributed, multiresolution, progressive processing.  ...  This system is capable of interactively browsing large multiresolution datasets through the use of image caching.  ... 
doi:10.2312/egpgv/egpgv06/171-177 fatcat:b6e4iatd2bdthcy7dnfckgqcv4

Interactive Multiscale Tensor Reconstruction for Multiresolution Volume Visualization

S. K. Suter, Jose A. Iglesias Guitian, F. Marton, M. Agus, A. Elsener, C. P. E. Zollikofer, M. Gopi, E. Gobbetti, R. Pajarola
2011 IEEE Transactions on Visualization and Computer Graphics  
Large scale and structurally complex volume datasets from high-resolution 3D imaging devices or computational simulations pose a number of technical challenges for interactive visual analysis.  ...  In this paper, we present the first integration of a multiscale volume representation based on tensor approximation within a GPU-accelerated out-of-core multiresolution rendering framework.  ...  The authors wish to thank Paul Tafforeau for the help of acquiring the tooth dataset, which was scanned at the SLS in Switzerland (experiment number: 20080205).  ... 
doi:10.1109/tvcg.2011.214 pmid:22034332 fatcat:pmzuv7ut4fhljfylkywmmr3sp4

ISAVS

Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Alessandra Angelucci, Valerio Pascucci, Peer-Timo Bremer
2017 SIGGRAPH Asia 2017 Symposium on Visualization on - SA '17  
First, a hierarchical streaming data access layer enables interactive exploration of remote data, with fast data fetching to test analytics on subsets of the data.  ...  We present a software infrastructure that simplifies end-to-end visualization and analysis of massive data.  ...  While they are fast, general-purpose and robust when it comes to data writes, they significantly lag during reads, a critical requirement for interactive, exploratory analysis of large datasets.  ... 
doi:10.1145/3139295.3139299 pmid:30148289 pmcid:PMC6105268 dblp:conf/siggraph/PetruzzaVGSFAPB17 fatcat:ppcwkpk32jd65arcaw3nrnvzne

HexaShrink, an exact scalable framework for hexahedral meshes with attributes and discontinuities: multiresolution rendering and storage of geoscience models

Jean-Luc Peyrot, Laurent Duval, Frédéric Payan, Lauriane Bouard, Lénaïc Chizat, Sébastien Schneider, Marc Antonini
2019 Computational Geosciences  
, and finally simulation interactivity, necessary to exploit this instance of big data.  ...  Its exactly reversible multiresolution decomposition yields a hierarchy of meshes of increasing levels of details, in terms of either geometry, continuous or categorical properties of cells.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution  ... 
doi:10.1007/s10596-019-9816-2 fatcat:gltpzzoyvfe3bbez5snwtcjayq

The ATree: A Data Structure to Support Very Large Scientific Databases [chapter]

Pedja Bogdanovich, Hanan Samet
1999 Lecture Notes in Computer Science  
The goal is to minimize the amount of storage that has to be read when a subset of the data is needed.  ...  The datasets generated by satellite observations and supercomputer simulations are overwhelming conventional methods of storage and access, leading to unreasonably long delays in data analysis.  ...  The goal is to minimize the amount of storage that has to be read when a subset of the data is needed.  ... 
doi:10.1007/3-540-46621-5_14 fatcat:gxksjlc7czczpaulzrfdslhqii

AN EFFICIENT TECHNIQUE FOR LOSSLESS ADDRESS DATA COMPRESSION USING ADAPTIVE SPIHT ALGORITHM IN WSN

Sanjay Mainalli
2018 International Journal of Advanced Research in Computer Science  
Sensor networks represent a nontraditional source of information, as readings generated by sensors flow continuously, leading to an infinite stream of data.  ...  They are usually organized into networks where their readings are transmitted using low level protocols.  ...  Embedded image coding using zerotrees of wavelet coefficients for visible human dataset. In Signals, Systems and Computers, 2005.  ... 
doi:10.26483/ijarcs.v9i1.5466 fatcat:r2ds3d6ffzazdpoko4ouwfx5fa

Technical strategies for massive model visualization

Enrico Gobbetti, Dave Kasik, Sung-eui Yoon
2008 ACM SIGGRAPH ASIA 2008 courses on - SIGGRAPH Asia '08  
Figure 1 : Examples of massive models.  ...  This is mainly due to a combination of ever increasing model complexity with the current hardware design trend that leads to a widening gap between slow data access speed and fast data processing speed  ...  This work was partially supported by: the Italian Ministry of University and Research under grant CYBERSAR; a KAIST seed grant; the MIC, under grant "Development of Elemental Technology for Promoting Digital  ... 
doi:10.1145/1508044.1508073 fatcat:5zkxt75corampkusiaylcxdsva

Technical strategies for massive model visualization

Enrico Gobbetti, Dave Kasik, Sung-eui Yoon
2008 Proceedings of the 2008 ACM symposium on Solid and physical modeling - SPM '08  
Figure 1 : Examples of massive models.  ...  This is mainly due to a combination of ever increasing model complexity with the current hardware design trend that leads to a widening gap between slow data access speed and fast data processing speed  ...  This work was partially supported by: the Italian Ministry of University and Research under grant CYBERSAR; a KAIST seed grant; the MIC, under grant "Development of Elemental Technology for Promoting Digital  ... 
doi:10.1145/1364901.1364960 dblp:conf/sma/GobbettiKY08 fatcat:t65dyj6jrfcgrjivf2od4ok6cq

Space–time multiresolution atomistic visualization of MgO and MgSiO3 liquid data

Dipesh Bhattarai, Bijaya B. Karki, Lars Stixrude
2006 International Review of Economics  
First-principles molecular dynamics simulations of complex material systems such as geophysically relevant oxide and silicate liquids produce massive amounts of time-varying three-dimensional data for  ...  In this paper, we elaborate on our recently proposed scheme to support interactive visualization at space-time multiresolution of the atomistic simulation data.  ...  The challenge is simply how to graphically render such massive datasets (Sharma et al. 2003) .  ... 
doi:10.1007/s10069-006-0003-y fatcat:e2bw7pyq6zgmza4b5b4apgb2eu

Adaptive tetrapuzzles

Paolo Cignoni, Fabio Ganovelli, Enrico Gobbetti, Fabio Marton, Federico Ponchio, Roberto Scopigno
2004 ACM Transactions on Graphics  
Each tetrahedral cell contains a precomputed simplified version of the original model, represented using cache coherent indexed strips for fast rendering.  ...  Matthew dataset. The full resolution model contains 373 million triangles and is inspected at over 40 fps on a commodity PC platform.  ...  We are grateful to the anonymous reviewers for their thorough work and to the Stanford Graphics Group, the Digital Michelangelo project, and the University of Stuttgart for making benchmark datasets available  ... 
doi:10.1145/1015706.1015802 fatcat:ygjrou4rpvfqhfp2rneaztakye
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