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Data, Visualization and Collaboration Research

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Title: Data, Visualization and Collaboration Research


1
Data, Visualization and Collaboration Research
  • Jason Leigh, Luc Renambot (UIC-EVL),
  • Marcus Thiebaux (ISI),
  • Robert Grossman (UIC-LAC),
  • Padhraic Smyth (UCI),
  • Brian Davis (USGS EDC)
  • Donna Cox, Robert Patterson, Michael Welge
    (UIUC-NCSA)
  • Paul Wielinga, Bram Stolk (SARA)

2
GOAL
  • To bring the network
  • end-points into the
  • laboratories of scientists

3
Year 1 Accomplishments
  • Requirements gathering from SIO and NCMIR.
  • Developed Straw-person visualization tools for
    high resolution montages and volumetric
    visualization.
  • Deployed GeoWall 1 systems to jumpstart
    visualization efforts at all domain sites- also
    leveraging visualization tools within the Geowall
    community.
  • Defined 1st generation Optiputer Visualization
    cluster (32bit) for all sites to replicate.
  • Experimented with photonic switching to
    understand the ramifications of an all-photonic
    network on applications.
  • Designed open web-based standard and
    infrastructure for data-mining.
  • Developed statistical algorithms for data-mining
    that are suited for geoscience and
    neurobiological applications.

4
Year 2 Accomplishments
  • Visualization research distributed data access
    and performance monitoring.
  • Collaboration research user studies and
    graphics streaming experiments.
  • Data access and mining research continual
    improvement of web services interface and
    data-mining algorithms.
  • Visualization technology deployment and new
    development 2nd generation OptIPuter cluster
    design based on benchmark evaluations.
  • Developed the SAGE Scalable Adaptive Graphics
    Environment Model

5
OptIPuterVisualization Collaboration Research
  • SAGE Streaming Graphics for Scalable Tiled
    Displays
  • SAGE Enabled Visualization Tools JuxtaView
    Vol-a-Tile
  • Grid Visualization Utility Point-based
    Rendering
  • TeraVision Display Capture and Streaming

6
OptIPuter Scalable Display Systems
UIUC/NCSA
SARA
UCI
USGS EDC
7
Scalable Adaptive Graphics Environmentfor
Scalable Display Systems (UIC-EVL)
8
GeoWall2 and SAGE Test Trial at SC04
NASA
UIC
5Gb/s utilized total between Chicago, San Diego
and Pittsburgh
9
Paul Wielingas Team at SARA(new OptIPuter
partner)
  • Have come to similar conclusions on the need for
    decoupled rendering and graphics.
  • Developed complementary pixel streaming
    techniques and demonstrated at SC2004.
  • 6.5Gb/s from Amsterdam to Chicago.
  • For iGrid 2005 we will create a persistent
    visualization testbed to test collaborative
    scientific and biomedical data visualization
    between Simon Fraser University (Canada), UIC
    (Chicago), SARA/University of Amsterdam
    (Amsterdam), KISTI (Korea), CALIT2.

10
LambdaCam Web-based Remote Monitoring of
Scalable Displays
11
SAGE Future
  • Multicasting to support distance collaboration
    (11x5 LambdaVision needs 50Gb/s- uncompressed).
  • New interaction paradigms for manipulating SAGE
    windows and controlling applications running
    inside SAGE windows.
  • Social Science Collaboration Team Paul Dourish,
    Gloria Mark CALIT2 at UCI

12
Multicast
LambdaRAM
JuxtaView
LambdaRAM server
S A G E
Vol-a-Tile
OptiStore
3D points
GVU
GVU Filter
Pre-renderedanimation
Data Mining
Scalable Display (ie 1 to N tiles)
Slow Link
Data Cache Web Service
Laptops
Ethereon
OptiStore2
Varrier
13
Multicast
LambdaRAM
JuxtaView
LambdaRAM server
S A G E
Vol-a-Tile
OptiStore
3D points
GVU
GVU Filter
Pre-renderedanimation
Data Mining
Scalable Display (ie 1 to N tiles)
Slow Link
Data Cache Web Service
Laptops
Ethereon
OptiStore2
Varrier
14
SAGE Enabled Visualization Tool JuxtaView
(UIC-EVL)
  • JuxtaView high resolution image montage display
  • Panning and zooming of infinite resolution images.

E.g. USGS Aerial Photographs at 350Kx350K for
120 cities (50TB).
15
JuxtaView Also Uses a Networked Memory Cache
System to Hide Latency (UIC-EVL)
  • LambdaRAM Network Memory Cache Middleware
  • Giant pool of clustered memory to provide low
    latency access to large remote data sets by
    aggressive use of available network bandwidth.
  • Relieve application developers from having to
    build their own data-prefetching middleware from
    scratch.

8-14
all
none
16
JuxtaView Visualization Demonstration
Amsterdam(4 nodes)
LambdaRAMServer
Chicago (EVL)(16 nodes)
JuxtaView visualization client
StarLight(4 nodes)
17
LambdaRAM LAN, MAN, WAN Performance
3 nodes
4 nodes
15 nodes
  • Number of nodes were selected based on resource
    availability.
  • WAN case currently uses 1.5Gb/s out of 3Gb/s.
  • Bandwidth utilization increase with more nodes
    and latency will drop also.

18
SAGE Enabled Visualization ToolsVol-a-Tile
(UIC-EVL)
Orthogonal Views
Navigational Volume
Sub-Volume as voxels
Sub-Volume as isosurfaces
19
Grid Visualization Utility(ISI)
  • Examine point-based rendering techniques.
  • Examine the effect of data partitioning, on
    network, and visualization efficiency.

Visualization of signed X-component of the full
motion vector along San Andreas Fault Line
20
Grid Visualization Utility(ISI)
  • SuperComputing 2004
  • Demonstrated multi-site distributed pipeline,
    involving clusters at SIO (8 nodes), ISI (8
    nodes), and EVL (12 nodes), simultaneously
    filtering and feeding data to show-floor PC on
    demand, over CAVEWave.
  • Access 39 GB TeraShake dataset spread across all
    nodes.

Used by Southern California Earthquake Center
21

Atmospheric Science Visualization Techniques
Applied to a Volume of Ocean Scientific
Simulation (UIUC-NCSA)
Streamlines colored by vertical velocity. Orange
rising, Blue sinking. Isosurface is colored by
vorticity in the direction of flow.Green is
positive and Purple is negative.
  • Single Simulation Time Step Simulation of
    stratified fluid flow by Kraig Winters-
    computational oceanographer at SIO.
  • Rendered in Stereo High Definition ie 2 x
    1920x1080
  • Goal is real time rendering and streaming of
    stereo high definition visualizations using SAGE.

22
TeraVision Hardware to Capture and Stream
Visualization Signals (UIC-EVL)
  • PC High Speed Graphics Capture Card Gigabit
    Network Interface.
  • V3.0 tested at SC 2004 and at recent
    demonstration of 10G link to Hawaii
  • TeraVision broadcast channel interface.
  • Multicasting to support collaboration.
  • SC04 1280x1024 30fps
  • Hawaii 2Kx2K 8bit 30fps
  • Now being enabled for High Def Camera
    multicasting.

An operator at the National Center for Microscopy
and Imaging Research facility in San Diego, CA
collaboratively navigates the microscope,
communicating with the remote user by Polycom
video teleconferencing
23
OptIPuterData Access and Mining Research
  • Web services interfaces for high performance
    computing
  • Data mining algorithms using the OptIPuter

24
Multicast
LambdaRAM
JuxtaView
LambdaRAM server
S A G E
Vol-a-Tile
OptiStore
3D points
GVU
GVU Filter
Pre-renderedanimation
Data Mining
Scalable Display (ie 1 to N tiles)
Slow Link
Data Cache Web Service
Laptops
Ethereon
OptiStore2
Varrier
25
High Performance Web Services(UIC-LAC)
  • High performance web services for working with
    large and distributed data sets.
  • XML interface allows users to use a web interface
    to do database joins of at high speeds using UDT
    reliable UDP-based transport protocol.
  • Project co-funded by NSF SEIII and MRI and US Army

26
OptIPuter Data MinersSpatio-Temporal Data
Mining(UCI and UIUC-NCSA)
  • Develop data mining techniques focused on
    scientific spatial and temporal data
  • Extend existing data mining algorithms to online
    streaming data using one-look algorithms
  • One-look algorithms enable real time mining as
    data comes in from sensors.
  • Project co-funded by DOE, NIH, and NSF SEIII
    program.

Real time Information Visualization Tools
Cyclone data to track trajectories
27
Still Much More In the Works
Personal GeoWall-2
LambdaTable
28
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