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Visualizing Multivariate Volume Data from Turbulent Combustion Simulations

Hiroshi Akiba, Kwan-liu Ma, Jacqueline Chen, Evatt Hawkes
2007 Computing in science & engineering (Print)  
R ecent developments in numerical methodology for combustion simulations that effectively harness modern high-performance parallel computers can simulate reacting flows by using high-fidelity models for  ...  In addition to the data set's sheer size, the difficulty of knowledge extraction is compounded by the complexity of the turbulent flow fields and the phenomena under study, as well as by the different  ...  Acknowledgments The work is sponsored in part by the US Department of Energy's Division of Chemical Sciences, Geosciences, and Biosciences, the Office of Basic Energy Sciences, the SciDAC program, and  ... 
doi:10.1109/mcse.2007.42 fatcat:ofka2emnmndc3bxnqyvajxqfpm

Terascale direct numerical simulations of turbulent combustion using S3D

J H Chen, A Choudhary, B de Supinski, M DeVries, E R Hawkes, S Klasky, W K Liao, K L Ma, J Mellor-Crummey, N Podhorszki, R Sankaran, S Shende (+1 others)
2009 Computational Science & Discovery  
I/O, tools for volume visualization of multiscale, multivariate data and automating the combustion workflow.  ...  Computing at this scale requires close collaborations between computer and combustion scientists to provide optimized scaleable algorithms and software for terascale simulations, efficient collective parallel  ...  In-situ visualization For extreme-scale combustion simulations, massive I/O requirements render traditional feature extraction and tracking approaches unusable.  ... 
doi:10.1088/1749-4699/2/1/015001 fatcat:2wmi4vmhprffre7qy4h2g6r5ya

Direct Numerical Simulations for Combustion Science: Past, Present, and Future [chapter]

Hong G. Im
2017 Energy, Environment, and Sustainability  
Acknowledgments The work presented in this study was sponsored by King Abdullah University of Science and Technology (KAUST).  ...  That is, simulations have to be instrumented for data reduction and feature extraction to selectively reduce the volume of data that needs to be processed immediately and/or sent to archival disks and  ...  These types of 2D DNS data have been used to extract the the Markstein length for different hydrogen/air mixtures (Baum et al., 1994; Chen & Im, 2000) for comparison with existing experimental measurements  ... 
doi:10.1007/978-981-10-7410-3_4 fatcat:sugj6y2dt5dlxoppujtujg6x5y

Scientific Visualization (Dagstuhl Seminar 11231)

Min Chen, Hans Hagen, Charles D. Hansen, Arie Kaufman, Marc Herbstritt
2011 Dagstuhl Reports  
Integrated Multifield Visualization: The output of the majority of computational science and engineering simulations typically consists of a combination of variables, so called multifield data, involving  ...  Scientific Visualization (SV) is the transformation of abstract data, derived from observation or simulation, into readily comprehensible images, and has proven to play an indispensable part of the scientific  ...  We use a collection of computer tomography data and large scale combustion simulations to illustrate our techniques.  ... 
doi:10.4230/dagrep.1.6.1 dblp:journals/dagstuhl-reports/ChenHHK11 fatcat:jvdbpd4q3fddjazkxyhttih36a

Coupled Ensemble Flow Line Advection and Analysis

Hanqi Guo, Xiaoru Yuan, Jian Huang, Xiaomin Zhu
2013 IEEE Transactions on Visualization and Computer Graphics  
Visualization results of GEOS-5 ensemble simulation data. Pathlines are filtered and selected with Lagrangian-based variation.  ...  The variation field characterizes the variation between vector fields of the ensemble runs, by extracting and visualizing the variation of pathlines within ensemble.  ...  Junfeng Liu for providing WRF simulation data and feedback, and thank Dr. Xiaoguang Ma for his suggestive comments.  ... 
doi:10.1109/tvcg.2013.144 pmid:24051840 fatcat:alj4bqcnd5astpnbfagfq3rlwu

Advances and challenges in computational plasma science

W M Tang, V S Chan
2005 Plasma Physics and Controlled Fusion  
Scientific simulation, which provides a natural bridge between theory and experiment, is an essential tool for understanding complex plasma behavior.  ...  simulations which have accelerated advances in understanding the nature of turbulence self-regulation by zonal flows.  ...  Their impressive productivity is evident in the examples cited and has provided the basis for the increased awareness and appreciation by the general scientific community of the high quality of research  ... 
doi:10.1088/0741-3335/47/2/r01 fatcat:hvqcolzokrh4fetkh5jv57orvu

Data-Parallel Mesh Connected Components Labeling and Analysis [article]

Cyrus Harrison, Hank Childs, Kelly P. Gaither
2011 Eurographics Symposium on Parallel Graphics and Visualization  
We present a data-parallel algorithm for identifying and labeling the connected sub-meshes within a domaindecomposed 3D mesh.  ...  Marking each vertex with its corresponding sub-mesh label allows us to isolate mesh features based on topology, enabling new analysis capabilities.  ...  Introduction Parallel scientific simulations running on today's state of the art petascale and terascale computing platforms generate massive quantities of high resolution mesh-based data.  ... 
doi:10.2312/egpgv/egpgv11/131-140 fatcat:67lbtrvqorgd5gncnrowpkylqu

A Component Architecture for High-Performance Scientific Computing

David E. Bernholdt, Benjamin A. Allan, Robert Armstrong, Felipe Bertrand, Kenneth Chiu, Tamara L. Dahlgren, Kostadin Damevski, Wael R. Elwasif, Thomas G. W. Epperly, Madhusudhan Govindaraju, Daniel S. Katz, James A. Kohl (+14 others)
2006 The international journal of high performance computing applications  
The CCA is being applied within an increasing range of disciplines, including combustion research, global climate simulation, and computational chemistry.  ...  The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale scientific simulations and to move toward a plug-and-play environment for high-performance  ...  We further acknowledge our collaborators outside the CCA Forum and the early adopters of the CCA for the impor-tant contributions they have made both to our understanding of CBSE in the high-performance  ... 
doi:10.1177/1094342006064488 fatcat:ybzdejmep5ci7gwvpxlju4giii

Knowledge Support and Automation for Performance Analysis with PerfExplorer 2.0

Kevin A. Huck, Allen D. Malony, Sameer Shende, Alan Morris
2008 Scientific Programming  
The potential size of data sets and the need to compare results from multiple experiments presents a challenge to manage and process the information.  ...  We will give examples of large-scale analysis results, and discuss the future development of the framework, including the encoding and processing of expert performance rules, and the increasing use of  ...  The authors would like to thank PERI, SciDAC, ORNL, NERSC and RENCI for including us in the PERI SciDAC project, and a special thanks to John Mellor-Crummey for a better understanding of the locality issues  ... 
doi:10.1155/2008/985194 fatcat:k2gynig3mnfafndtr7f5aav6ii

Simulation of Fusion Plasmas: Current Status and Future Direction

D A Batchelor, M Beck, A Becoulet, R V Budny, C S Chang, P H Diamond, J Q Dong, G Y Fu, A Fukuyama, T S Hahm, D E Keyes, Y Kishimoto (+17 others)
2007 Plasma Science and Technology  
more systematic code comparisons and confrontations between data and simulations.  ...  An important direction for data exploration is feature tracking and searching in large datasets.  ...  stream data from the TOPICS code, and the alternative calculations of the MARG2D and TOPICS codes.  ... 
doi:10.1088/1009-0630/9/3/13 fatcat:qultg3zae5dqtcyqm6lktxgdve

Six degrees of scientific data

Jay Lofstead, Milo Polte, Garth Gibson, Scott Klasky, Karsten Schwan, Ron Oldfield, Matthew Wolf, Qing Liu
2011 Proceedings of the 20th international symposium on High performance distributed computing - HPDC '11  
Petascale science simulations generate 10s of TBs of application data per day, much of it devoted to their checkpoint/restart fault tolerance mechanisms.  ...  Third, defining the novel notion of a 'data district' to characterize how data is organized for reads, we experimentally compare the read performance seen with the ADIOS middleware's log-based BP format  ...  For a 3-D domain decomposition, the S3D combustion code [7] is examined. S3D is a flow solver for performing direct numerical simulation (DNS) of turbulent combustion.  ... 
doi:10.1145/1996130.1996139 dblp:conf/hpdc/LofsteadPGKSOWL11 fatcat:q3dvi2etmvfnzi6f57rrumc6lm

D7.6: Efficient handling of petascale data

Mohammad Jowkar, Vit Vondrak, Bjørn Lindi, Olivier Rouchon, Marzia Rivi
2011 Zenodo  
It is common that many of these processors and threads in a Petascale class simulation need to process a large amount of data, which brings with it a set of challenges.  ...  The experts have been assigned to supporting users with their data needs, in order for them to be able to scale their applications further.  ...  D7.6 Efficient Handling of Petascale Data PRACE-1IP -RI-261557 23.12.2011  ... 
doi:10.5281/zenodo.6552923 fatcat:bynxnuqtbnh73jcrpfjj4ldk74

D7.2.1 A Report on the Survey of HPC Tools and Techniques

Michael Lysaght, Bjorn Lindi, Vit Vondrak, John Donners, Marc Tajchman
2013 Zenodo  
he objective of PRACE-3IP Work Package 7 (WP7) 'Application Enabling and Support' is to provide applications enabling support for HPC applications codes which are important for European researchers to  ...  While we have found that, unsurprisingly, the MPI model still dominates within PRACE, evidence suggests that the most recent version of the standard provides features that are starting to confront the  ...  In the new release (v6.0) of Scotch, topology-aware partitioning options are embedded into the library. This option is a key feature of success for exascale computing.  ... 
doi:10.5281/zenodo.6575492 fatcat:grwigpxd7naifbzo6w67w4glrm

D7.2.2: Final Report on Collaboration with Communities

Giovanni Erbacci, John Donners, Joerg Hertzer, Maria Francesca Iozzi, Paul Sherwood
2012 Zenodo  
Eleven key application codes of value to the main scientific communities at European level were selected for petascaling during the first year of Task 7.2.  ...  These applications, emblematic of the major computational disciplines and challenging for the main scientific communities are: GROMACS and DL-POLY for Molecular Dynamics; Quantum ESPRESSO and CP2K, for  ...  We have presented scalability results of DDPS algorithm for a sparse linear system extracted from OpenFOAM 3D lid-driven cavity test problem on Curie cluster.  ... 
doi:10.5281/zenodo.6553019 fatcat:bqbdsgji4vgfjb3lurtm6ydezm

D5.3: Updated Best Practices for HPC Procurement and Infrastructure

Andreas Johansson
2014 Zenodo  
The information, collected from public sources and industry conferences, is presented through comparisons and graphs that allow an easier and quicker examination of trends for different aspects of top-level  ...  Task 2 – Best practices for designing and operating power efficient HPC centre infrastructures – has continued the production of white papers which explore specific topics related to HPC data centre design  ...  The partnership is completed with QUANTECH, an SME specialised in the development and marketing of simulation software for industrial forming processes.  ... 
doi:10.5281/zenodo.6572433 fatcat:cwiqrgf33jajjjvhubky4f6rau
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