SciDAC Visualization Workshop 2002

--- Sept 9-10, 2002 Hotel Monaco, Salt Lake City, UT

Document Source: http://www.csm.ornl.gov/~dickson/SicDAC_Vis_2002_Notes.html


Monday, September 9, 2002 8:30 AM

Intro -- John van Rosendale

SciDAC Status Overview -- Alan Laub

SciDAC 'Collaboratories'

ISIC - Integrated Software Infrastructure Center

MICS - Math, Info, Computer Science

Tony Mezzacappa - TeraScale Supernova Initiative

http://www.phy.ornl.gov/tsi

Vis platforms - EnSight -- TeraScale Browser

Need:

(My name (?) was on one of Tony's Project org. graphs)

Chris Johnson, Utah/ SCI Institute

Integrated Software Environment -- SciRun, BioPSE -- Computational Workbench - Problem-Solving Environment

What If?

DTI - Diffusion Tensor Image

Viz has no 'gold-standard' test sets for collaborative research

Jackie Chen, Sandia

S3D Direct Numerical Simulation

Wendy Koegler - Feature Detection Tools (Sandia)

Threshold Detection, Orthogonal Decomposition

Event Searching - interaction among features

Don Middleton, NCAR, Boulder, CO

NCAR Command Language, NCL

Vis5D (Wisconsin) Open Sourced Vis5D+ (NCAR) - at end-of-life

Victoria Interrante, U Minn.

Visual Representation

3-D Shape through texture

Visibility-Impeding Halo - inter-ocular gaps - push 3-D depth cues

Essential Features -- non-photorealistic rendering - principal-line shading

T-Rex Time-Dependent, 3-D Texture for Fluid Flows

Dean Williams, LLNL

Python - import C++, FORTRAN, Vtk modules via Python wrappers,

DODS (http/HTML DB query language?)

John van Rosendale

Vis needs for SciDAC

Examples:

Time Line:
SciDAC needs < 5 years; MICS < 10 years

Abstract Data Model:
HDF-5 - Can extract one scalar value per point from multi-valued meshes

Visual Analytics - Viz as debugging

Mark Ellisman, UCSD/NCMIR

3-D Electron-Beam Microscopy

Russ Taylor, UNC - Haptics


Tuesday, September 10, 2002 8:30AM

Kwan-Liu Ma

Hybrid Rendering technique for visualizing particle beam dynamics data

Texture-based volume rendering for low-detail regions (PC graphics hardware) Render points for high-interest/detail areas. Reduces storage requirements. Point Data (x, y, z) (px, py, pz) (momenta)

Partition -> Octree, Extract -> Hybrid Representation - sort by density - on NERSC/LBL (Same machine simulation ran on). 5GB -> 100MB Data reduction

Need particle corellation tool

Magnetic field lines in accelerator - rendering dense, intertwined lines Illuminated, textures, semi-transparent, haloing Hierarchically organized, for interaction

Uses Victoria Interrante's haloing rendering technique?

Need to abstract field complexity - cannot viz 100K - 1M particle paths

Dave Schissel, Fusion SciDAC Collaboratory

D. Spong, ORNL LHD Toroidal Accelerator Viz

Benchmark Sim vs. Theory & Experiment

Larry Arnstein, UW Cell Systems Initiative

VLSI scales of abstraction - synchronous function blocks, concurrent processes Verification, back-annotation Abstraction results in sub-optimal overall design

Labscape - Ubiquitous Lab Assistant
Graph w/globally unique nodes, specialization through inheritance, hierarchy, annotation Material, control and data flow

Used Human Factors study to evaluate tool

Deployment at High Schools