Sponsored Links
This presentation is the property of its rightful owner.
1 / 10

Accomplishments PowerPoint PPT Presentation

  • Uploaded on
  • Presentation posted in: General

Accomplishments. SIO OptIPuter Visualization Cluster. 10 node IBM PC Cluster driving two 9.2 million pixels IBM T221 displays. Connects to the OptIPuter Southern California network. Volume Rendering at SIO. SIO provided UIC and ISI with seismic volume dataset from the ARAD 3D experiment.

Download Presentation


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript



Sio optiputer visualization cluster

SIO OptIPuter Visualization Cluster

  • 10 node IBM PC Cluster driving two 9.2 million pixels IBM T221 displays.

    • Connects to the OptIPuter Southern California network.

Volume rendering at sio

Volume Rendering at SIO

  • SIO provided UIC and ISI with seismic volume dataset from the ARAD 3D experiment.

    • 800 x 800 x 1000 (32 bits) volume highlights the first 3D reflection image of a crustal magma chamber located beneath the East Pacific Rise.

  • GVU uses SIO VizCluster and renders to the monitor on the master node.

  • Vol-a-Tile uses SIO VizCluster and renders to IBM T221 displays.

    • Vol-a-Tile now runs data servers on UCSD’s Storage Cluster and renders on the SIO’s Visualization Cluster over the SoCal OptIPuter network.

Figure 3:ARAD 3D volume visualized with Vol-a-Tile (EVL, UIC)

Figure 1:ARAD 3D volume visualized with GVU (ISI, USC)

Figure 2:GVU and Vol-a-tile on the SIO Visualization Cluster

High resolution imagery at sio

High resolution imagery at SIO

  • IKONOS Satellite Imagery (courtesy of

  • 0.3 m San Diego aerial photography (courtesy of Brian Davis, USGS).

  • Mars Rover Mission Panoramic Image (courtesy of JPL,NASA).

Figure 1:IKONOS satellite imagery combined with topography, bathymetry and seismic data in Incline Village, Lake Tahoe.

Figure 2:USGS ortho-imagery combined with LIDAR data of the coastal bluffs in San Diego.

Accessing data from remote cluster jsoe cluster to sio vizcluster

Accessing Data from Remote Cluster (JSOE cluster to SIO VizCluster)

  • Running multiple OptIPuter applications on SIO Cluster.

    • Retrieve scene file from storage cluster and display on IBM panels using Chromium.

    • Juxtaview on SIO cluster displays high resolution satellite imagery.

Sio visual objects storage distribution

SIO Visual Objects Storage & Distribution

  • Scene files now stored on terabyte webserver on OptIPuter Storage Cluster for dissemination over OptIPuter network.

  • Two-fold increase in number of website visitors that downloaded the scene files.

Transferring optiputer technologies to other nsf projects

Transferring OptIPuter technologies to other NSF Projects


    • Funded by RIDGE2K to develop visual objects of data collected with variety of methods in multiple disciplines.

  • GEON

    • Creating ‘scene’ files from geological and GIS data for San Diego and the Rockies.

ROADNet: Mt. Laguna Camera

  • ROADNet

    • Generating high resolution time lapse movies on the SIO cluster from near real-time images captured by ROADNet sensors.

  • NASA Goddard (non NSF)

    • Level3 link between SIO and NASA to allow for e-science between the institutions.


Future Goals


  • Propose to build a 4 x 6 LCD tiled display driven by G5 Cluster

    • High resolution real time visualizations of USArray waveform data represented as 3D glyphs and combined with near real time camera images.

    • Provide health monitoring of entire network.

USArray on the GeoWall 2

3d tomography of whole earth models

3D Tomography of Whole Earth Models

  • Project in progress to visualize the mantle models for the whole Earth and in particular the North American continent.

    • Need to visualize the process of tomography while still inverting for the model (Gabi Laske, IGPP)

Figure 1:REM model combined with seismicity. Yellow blobs are isosurface representations of surface wave propagation. White dots represent earthquakes of magnitude greater than 4.0.

Figure 2:Spherical representation of same data. Blue indicates positive values, where speed is high and mantle is cooler. Red indicates negative values, lower speeds and hotter mantle.

  • Login