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Integrate access to advanced computational resources and high-level services (resource scheduling, automated data management) to accelerate and improve.

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Presentation on theme: "Integrate access to advanced computational resources and high-level services (resource scheduling, automated data management) to accelerate and improve."— Presentation transcript:

1 Integrate access to advanced computational resources and high-level services (resource scheduling, automated data management) to accelerate and improve each workflow process Target (extreme) cells that have multiple regions of structural and functional specialization spanning multiple scales (e.g. striatal medium spiny neuron, cerebellar purkinje neuron) Accelerating Throughput and Quality for Multiscale Cell Modeling

2 Telescience Portal and Applications Physical Resources: Data Storage, Compute Resources, etc. Telescience Builds Upon Grid Launching applications on the Telescience Grid requires the coordination of many different services across many logical layers Local (Services): GSI, Globus, Condor, RLS, SRB, NWS, etc. Collective (Services): MyProxy, Pegasus, DataCutter, GridFTP, etc. Higher Level Services: GAMA, GridWrap, etc.

3 Telescience Portal and Applications Telescience provides solutions for both users and developers Provides an intuitive GUI for end-users to launch jobs and manage data Higher Level Services: GAMA, GridWrap, etc. Provides a programming interface and other tools for developers (Telescience Portal and others) to access Telesience Grid (compatible with other Scientific Grids).

4 Application to Middleware Interaction Components (ATOMIC) Lin AW., et al. IEEE CBMS 2005 ATOMIC: GAMA, GridWrap, etc. Higher Level Services have been formally packaged into distributable and extensible software components, named ATOMIC Current ATOMIC tools: TeleAuth/GAMA TeleWrap TeleRun Bi-annual release (April, Sept)

5 Segmentation Tools UTAH SciRun JINX Fuzzy Segmentation

6 Telescience Portal Single Sign-on, web Interface for ubiquitous access to tools (applications, data, instruments)

7 Why portlets? GridSphere/Portlet Advantages: Similar look-and-feel to other "Portals" (ie. MyYahoo!) Robust development environment (JSR168 Compliance)

8 Simplifying a Complicated Process Advantages of workflow managed by Portal: Applications are centralized to a common interface Automatic and transparent data management Appropriate tools have been merged into single applications

9 Robust Development Environment Rapidly develop and deploy portlets for LM workflow Begin: Image to Database, 6 people, 4 platforms, 4 hrs computation + high overhead End: Image to Database, 1 person, 1 portal, 5 min computation, low overhead LM Worfkflow by Josh Tran Features Jibber/Jetsam by Stephan Lamont

10 Effective use of computational resources Increasing computation requirements have lead to a more effective use of distributed resources Creation of Telescience Certificate Authority (CA) better management of user sign-on 1st external CA to be recognized by national infrastructure projects (TeraGrid, OptIPuter) Condor 6.7.x (current beta) implementation: more efficient permits "real-time" computation cluster pool management connects to larger scale infrastructure projects (i.e. TeraGrid, OptIPuter)

11 Accelerating and Generalizing Computation Gtomo (Simple Back Projection) used to prototype a new architecture to separate algorithms from parallelism or "Grid" codes: Uses Chimera/Pegasus framework Several successful launches Beta testing at NCMIR/ISI Stress tested w/ 4k x 4k x 4k dataset Several high performance codes/applications: Simple Backprojection TxBR Quadratic Reconstruction Deconvolution Integrated w/ Telescience Portal simple "click-and-compute" interface transparent authentication management automatic progress tracking transparent meta-data collection Telescience tools allow developers to focus on the science of the algorithms not on the Grid

12 Scalable Displays Allow Both Global Content and Fine Detail Source: Mark Ellisman, David Lee, Jason Leigh 30 MPixel SunScreen Display Driven by a 20-node Sun Opteron Visualization Cluster

13 Two New Calit2 Buildings Will Provide a Persistent Collaboration “Living Laboratory” Over 1000 Researchers in Two Buildings Will Create New Laboratory Facilities –Nano, MEMS, RF, Optical, Visualization International Conferences and Testbeds 150 Optical Fibers into UCSD Building Bioengineering UC San Diego UC Irvine Preparing for an World in Which Distance Has Been Eliminated…

14 Toward an Interactive Gigapixel Display Scalable Adaptive Graphics Environment (SAGE) Controls: 100 Megapixels Display –55-Panel 1/4 TeraFLOP –Driven by 30- Node Cluster of 64-bit Dual Opterons 1/3 Terabit/sec I/O –30 x 10GE interfaces –Linked to OptIPuter 1/8 TB RAM 60 TB Disk Source: Jason Leigh, Tom DeFanti, EVL@UIC OptIPuter Co-PIs NSF LambdaVision MRI@UIC Calit2 is Building a LambdaVision Wall in Each of the UCI & UCSD Buildings


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