Accomplishments SIO Opt IPuter Visualization Cluster 10 node

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Accomplishments

Accomplishments

SIO Opt. IPuter Visualization Cluster • 10 node IBM PC Cluster driving two 9.

SIO Opt. IPuter Visualization Cluster • 10 node IBM PC Cluster driving two 9. 2 million pixels IBM T 221 displays. – Connects to the Opt. IPuter Southern California network. Applications • Earth Sciences

Volume Rendering at SIO • SIO provided UIC and ISI with seismic volume dataset

Volume Rendering at SIO • SIO provided UIC and ISI with seismic volume dataset from the ARAD 3 D experiment. – 800 x 1000 (32 bits) volume highlights the first 3 D reflection image of a crustal magma chamber located beneath the East Pacific Rise. • GVU uses SIO Viz. Cluster and renders to the monitor on the master node. • Vol-a-Tile uses SIO Viz. Cluster and renders to IBM T 221 displays. – Vol-a-Tile now runs data servers on UCSD’s Storage Cluster and renders on the SIO’s Visualization Cluster over the So. Cal Opt. IPuter network. Figure 1: ARAD 3 D volume visualized with GVU (ISI, USC) Figure 3: ARAD 3 D volume visualized with Vol-a-Tile (EVL, UIC) Figure 2: GVU and Vol-a-tile on the SIO Visualization Cluster Applications • Earth Sciences

High resolution imagery at SIO • IKONOS Satellite Imagery (courtesy of Space. Imaging. com).

High resolution imagery at SIO • IKONOS Satellite Imagery (courtesy of Space. Imaging. com). • 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. Applications • Earth Sciences 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 Viz. Cluster) • Running multiple

Accessing Data from Remote Cluster (JSOE cluster to SIO Viz. Cluster) • Running multiple Opt. IPuter 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. Applications • Earth Sciences

SIO Visual Objects Storage & Distribution • • Scene files now stored on terabyte

SIO Visual Objects Storage & Distribution • • Scene files now stored on terabyte webserver on Opt. IPuter Storage Cluster for dissemination over Opt. IPuter network. Two-fold increase in number of website visitors that downloaded the scene files. Applications • Earth Sciences

Transferring Opt. IPuter technologies to other NSF Projects • RIDGE – Funded by RIDGE

Transferring Opt. IPuter technologies to other NSF Projects • RIDGE – Funded by RIDGE 2 K 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) – Level 3 link between SIO and NASA to allow for e-science between the institutions. Applications • Earth Sciences

Future Goals

Future Goals

USArray on the Geo. Wall 2 • Propose to build a 4 x 6

USArray on the Geo. Wall 2 • Propose to build a 4 x 6 LCD tiled display driven by G 5 Cluster – High resolution real time visualizations of USArray waveform data represented as 3 D glyphs and combined with near real time camera images. – Provide health monitoring of entire network.

3 D Tomography of Whole Earth Models • Project in progress to visualize the

3 D 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. Applications • Earth Sciences 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.