H.T. Vo, J. Bronson, B. Summa, J.L.D. Comba, J. Freire, B. Howe, V. Pascucci, C.T. Silva. Parallel Visualization on Large Clusters using MapReduce, In Proceedings of the 2011 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV), pp. 81--88. 2011.
Keywords: MapReduce, Hadoop, cloud computing, large meshes, volume rendering, gigapixels
Bei Wang, B. Summa, V. Pascucci, M. Vejdemo-Johansson. Branching and Circular Features in High Dimensional Data, In IEEE Transactions of Visualization and Computer Graphics (TVCG), Vol. 17, No. 12, pp. 1902--1911. 2011.
PubMed ID: 22034307
Keywords: Dimensionality reduction, circular coordinates, visualization, topological analysis
S. Williams, M. Petersen, P.-T. Bremer, M. Hecht, V. Pascucci, J. Ahrens, M. Hlawitschka, B. Hamann. Adaptive Extraction and Quantification of Geophysical Vortices, In IEEE Transactions on Visualization and Computer Graphics, Proceedings of the 2011 IEEE Visualization Conference, Vol. 17, No. 12, pp. 2088--2095. 2011.
M. Berger, L.G. Nonato, V. Pascucci, C.T. Silva. Fiedler Trees for Multiscale Surface Analysis, In Computer & Graphics, Vol. 34, No. 3, Note: Special Issue of Sha, pp. 272--281. June, 2010.
In this work we introduce a new hierarchical surface decomposition method for multiscale analysis of surface meshes. In contrast to other multiresolution methods, our approach relies on spectral properties of the surface to build a binary hierarchical decomposition. Namely, we utilize the first nontrivial eigenfunction of the Laplace–Beltrami operator to recursively decompose the surface. For this reason we coin our surface decomposition the Fiedler tree. Using the Fiedler tree ensures a number of attractive properties, including: mesh-independent decomposition, well-formed and nearly equi-areal surface patches, and noise robustness. We show how the evenly distributed patches can be exploited for generating multiresolution high quality uniform meshes. Additionally, our decomposition permits a natural means for carrying out wavelet methods, resulting in an intuitive method for producing feature-sensitive meshes at multiple scales.
T. Etiene, L.G. Nonato, C.E. Scheidegger, J. Tierny, T.J. Peters, V. Pascucci, R.M. Kirby, C.T. Silva. Topology Verification for Isosurface Extraction, SCI Technical Report, No. UUSCI-2010-003, SCI Institute, University of Utah, 2010.
S. Gerber, P.-T. Bremer, V. Pascucci, R.T. Whitaker. Visual Exploration of High Dimensional Scalar Functions, In IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics, Vol. 16, No. 6, IEEE, pp. 1271--1280. Nov, 2010.
PubMed ID: 20975167
S. Jadhav, H. Bhatia, P.-T. Bremer, J.A. Levine, L.G. Nonato, V. Pascucci. Consistent Approximation of Local Flow Behavior for 2D Vector Fields using Edge Maps, SCI Technical Report, No. UUSCI-2010-004, SCI Institute, University of Utah, 2010.
S. Kumar, V. Vishwanath, P. Carns, V. Pascucci, R. Latham, T. Peterka, M. Papka, R. Ross. Towards Efficient Access of Multi-dimensional, Multi-resolution Scientific Data, In Proceedings of the 5th Petascale Data Storage Workshop, Supercomputing 2010, pp. (in press). 2010.
J. Tierny, J. Daniels II, L.G. Nonato, V. Pascucci, C.T. Silva. Interactive Quadrangulation with Reeb Atlases and Connectivity Textures, SCI Technical Report, No. UUSCI-2010-006, SCI Institute, University of Utah, 2010.
H.T. Vo, D.K. Osmari, B. Summa, J.L.D. Comba, V. Pascucci, C.T. Silva. Streaming-Enabled Parallel Dataflow Architecture for Multicore Systems, In Computer Graphics Forum, Vol. 29, No. 3, pp. 1073--1082. 2010.
H.T. Vo, D.K. Osmari, B. Summa, J.L.D. Comba, V. Pascucci, C.T. Silva. Streaming-Enabled Parallel Dataflow Architecture for Multicore Systems, In Computer Graphics Forum, Vol. 29, No. 3, Wiley-Blackwell, pp. 1073--1082. Aug, 2010.
E.W. Bethel, C.R. Johnson, S. Ahern, J. Bell, P.-T. Bremer, H. Childs, E. Cormier-Michel, M. Day, E. Deines, P.T. Fogal, C. Garth, C.G.R. Geddes, H. Hagen, B. Hamann, C.D. Hansen, J. Jacobsen, K.I. Joy, J. Krüger, J. Meredith, P. Messmer, G. Ostrouchov, V. Pascucci, K. Potter, Prabhat, D. Pugmire, O. Rubel, A.R. Sanderson, C.T. Silva, D. Ushizima, G.H. Weber, B. Whitlock, K. Wu. Occam's Razor and Petascale Visual Data Analysis, In Journal of Physics: Conference Series, Journal of Physics: Conference Series, Vol. 180, No. 012084, pp. (published online). 2009.
One of the central challenges facing visualization research is how to effectively enable knowledge discovery. An effective approach will likely combine application architectures that are capable of running on today's largest platforms to address the challenges posed by large data with visual data analysis techniques that help find, represent, and effectively convey scientifically interesting features and phenomena.
C.D. Hansen, C.R. Johnson, V. Pascucci, C.T. Silva. Visualization for Data-Intensive Science, In The Fourth Paradigm: Data-Intensive Science, Edited by S. Tansley and T. Hey and K. Tolle, Microsoft Research, pp. 153--164. 2009.
K. Potter, A. Wilson, P.-T. Bremer, D. Williams, C. Doutriaux, V. Pascucci, C.R. Johhson. Visualization of Uncertainty and Ensemble Data: Exploration of Climate Modeling and Weather Forecast Data with Integrated ViSUS-CDAT Systems, In J. Phys.: Conf. Ser., Vol. 180, No. 012089, IOP Publishing, pp. 012089. July, 2009.
K. Potter, A. Wilson, P.-T. Bremer, D. Williams, C. Doutriaux, V. Pascucci, C.R. Johnson. Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data, In Proceedings of the 2009 IEEE International Conference on Data Mining Workshops, pp. 233--240. 2009.
J. Tierny, A. Gyulassy, E. Simon, V. Pascucci. Loop Surgery for Volumetric Meshes: Reeb Graphs Reduced to Contour Trees, In IEEE Transactions on Visualization and Computer Graphics, Proceedings of the 2009 IEEE Visualization Conference, Vol. 15, No. 6, pp. 1177--1184. Sept/Oct, 2009.
H.T. Vo, D.K. Osmari, B. Summa, J.L.D. Comba, V. Pascucci, C.T. Silva. Parallel Dataflow Scheme for Streaming (Un)Structured Data, SCI Technical Report, No. UUSCI-2009-004, SCI Institute, University of Utah, 2009.
E.W. Bethel, H. Childs, A. Mascarenhas, V. Pascucci, Prabhat. Scientific Data Management Challenges in High Performance Visual Data Analysis, In Scientific Data Management: Challenges, Existing Technology, and Deployment, Chapman Hall/CRC Press, 2008.