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National Computational Science University of Illinois at Urbana-Champaign Environmental Hydrology Team Meeting Show how the Alliance has demonstratably.

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Presentation on theme: "National Computational Science University of Illinois at Urbana-Champaign Environmental Hydrology Team Meeting Show how the Alliance has demonstratably."— Presentation transcript:

1 National Computational Science University of Illinois at Urbana-Champaign Environmental Hydrology Team Meeting Show how the Alliance has demonstratably changed the nation’s computational infrastructure Show explicitly how we have empowered communities to do things better Focus on deployment of infrastructure Deploy real codes to real researchers coupled with real metrics of use “Harden” software to be accompanied by documentation, training, and dissemination Educational focus secondary for this year in AT Primary Alliance Objectives in Year 4

2 National Computational Science University of Illinois at Urbana-Champaign Purpose of Workshop 1) Learn about the current status of EH projects 2)Develop overall team goals for this year in light of Alliance goals 3)Refine SOW’s in light of team goals 4)Determine current and future AT and/or EH team collaboration 5)Define expected deliverables this year both dependence and independent of EH development 6)Identify what is holding us back from reaching our individual and group goals 7)Discuss communication and reporting 8)Plan group PR 9)Other ?????

3 National Computational Science University of Illinois at Urbana-Champaign Presentation Guidelines 1) Briefly summarize past accomplishments and deliverables with at most 3 to 4 bullets on 1 or 2 overheads 2) State your main goals and deliverables (and your groups specific contributions to these them) for this year. I would like at most 4 bullets here. 3) What communities will you actually impact this year and how will this be accomplished (include plans for disseminating software or interacting with communities who will benefit from your work) 4) Note who on your team will actually carry out the work and what percentage of time they will be contributing 5) Note your questions/concerns about realizing the goals and deliverables (e.g., looking for a student to work on this, work can't begin until January due to other commitments, when will a linux cluster be available for me to work on,........)

4 National Computational Science University of Illinois at Urbana-Champaign Schedule 8:30 Alliance DirectionsDick Crutcher – Alliance Chief Scientist 9:00 Purpose/Goals of the WorkshopBob Wilhelmson – EH Team Lead 9:15 VisAD and CouplingBill Hibbard – U. of Wisconsin 9:45 SME DevelopmentsTom Maxwell – U. of Maryland 10:15 ARPS DevelopmentDan Weber – U. of Oklahoma 10:45 Infrastructure and BenchmarkingDanesh Tafti - NCSA 11:15 Hydrologic DevelopmentsFrank Weirich – U. of Iowa 11:45 Surface ModelingBaxter Vieux – U. of Oklahoma 12:15 Lunch and demo setup 12:30Digital River BasinDoug Johnston – NCSA 1:00 Demoes 2:00 Portal DevelopmentJay Alameda – Alliance Chemistry Team 2:30 Regional Ocean ModelingDale Haidvogel – Rutgers U. 3:00 Visualization of FluidsPolly Baker – NCSA, Dir. Data Mining/Vis. 3:30 OPIEDoug Fine – NCSA 4:00 Clusters at NCSARob Pennington – NCSA, Acting Dir. C&C 4:30 HDF5 DevelopmentsMike Folk – NCSA 5:00 General DiscussionBob Wilhelmson 7:00 Dinner at Silvercreek

5 National Computational Science University of Illinois at Urbana-Champaign Alliance Technology Roadmap Capability computing –attack complex problems –move from rationing to computing on demand Building the Grid –eliminate distance for virtual teams –convert computing into a utility Science portals –bring commercial web technology to scientists –build electronic research communities Clusters as the unifying mechanism –User wants and review recommendations Science Portals & Workbenches Twenty-First Century Applications Computational Services PerformancePerformance Networking, Devices and Systems Grid Services (resource independent ) Grid Fabric (resource dependent) Access Services & Technology Access Grid Computational Grid

6 National Computational Science University of Illinois at Urbana-Champaign Linux Terascale Cluster 782 IA-6432 IA-32

7 National Computational Science University of Illinois at Urbana-Champaign Linking People and Resources Sensor Arrays

8 National Computational Science University of Illinois at Urbana-Champaign Prototypical Grid Applications NSF Network for Earthquake Engineering Simulation (NEES) – Tom Prudhomme –integrated instrumentation, collaboration, simulation –planning study for $10M deployment Grid Physics Network (GriPhyN) – Ian Foster –largest NSF ITR award –ATLAS, CMS, LIGO, SDSS –distributed analysis of petascale data Environmental modeling –Mobile, disposable sensors and wireless networks –Integrated measurement, simulation, and adaptation –EH atmosphere, land, ocean, and ecosystem modeling NSF NEES Earthquake Grid GriPhyN Physics Grid Network

9 National Computational Science University of Illinois at Urbana-Champaign Access Grid does for people what the Computational Grid does for machines –enables group interaction with the Grid –streaming multicast audio/video and shared presentations Collaborative Technologies PC Options: Alliance Access Grid Netmeeting New voice/video technology coupled with large screen TV or flat screen

10 National Computational Science University of Illinois at Urbana-Champaign “Standard” Portal Model Users Browser Other Desktop Tools Users Desktop machine Portal Server Authentication Service MyProxy certificate server Job mgmt Service Info Services file Services security Services The Grid - remote compute, data and application resources COG/GPDK

11 National Computational Science University of Illinois at Urbana-Champaign Grand Challenges in Environmental Sciences New NRC Report requested by NSF Biogeochemical Cycles Biological Diversity and Ecosystem Functioning Climate Variability Hydrologic Forecasting Infectious Disease and the Environment Institutions and Resource Use Land-Use Dynamics Reinventing the Use of Materials Recommended for immediate research investment

12 National Computational Science University of Illinois at Urbana-Champaign Weather Research/Forecasting Model Adding HDF5 parallel I/O capabilities Porting/optimizing for IA32 and IA64 clusters Deployment/documentation of these added capabilities Woodward collaboration to improve performance for very large problems on hundreds of processors Wilhelmson Objectives for 2001 Staff Wilhelmson 25% Shaw 30% Usage and Dissemination WRF beta release in November 2000 Updates during year Issues Shaw on leave Group Objectives Couple with VisAD Couple with surface model Develop portal interface in grid enabled environment

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14 National Computational Science University of Illinois at Urbana-Champaign Environmental Hydrology Visualization Need: Access to distributed large datasets Cross platform Cluster algorithms Lightweight component Auto-data translators Metadata support Heterogeneous format support Component libraries Real-time GIS/Model Distance collaboration Vector/raster Nested grid Options: Vis5D SGI Explorer Fluid Tracers VisAD Cave5D nViz GeoVis… VisBench NCAR Graphics IBM Data Explorer IDL

15 National Computational Science University of Illinois at Urbana-Champaign VisBench and Geospatial Data Early results for combining Terrain plus GIS info plus simulation output Visualization generator Terrain/GIS Server(s) Client application Rob Stein

16 National Computational Science University of Illinois at Urbana-Champaign Multigrid VTK Visualization of Hurricane Opal Dave Bock

17 National Computational Science University of Illinois at Urbana-Champaign Graphics: How Far We’ve Come Toy Story™ –2-12 million triangles/frame –in 2001 we will be close to Toy Story graphics –in real time on PCs "Reality" –80 million triangles/frame –within 5-10 years a PC game –will be on par with "reality“ Playstation2 story (stay tuned …)

18 National Computational Science University of Illinois at Urbana-Champaign Computing On Toys Sony PlayStation2 features –6.2 GF peak –70M polygons/second –10.5M transistors –superscalar RISC core –plus vector units, each: –19 mul-adds & 1 divide –each 7 cycles $299 suggested retail –U.S. release October 2000 –980,000 units sold first week in Japan Terascale computing –$60K/teraflop –scalable visualization

19 National Computational Science University of Illinois at Urbana-Champaign The New Quadrangle $110M IT infrastructure –the world’s best –living laboratories North research park –three stage R&D pipeline –basic research –prototyping –transfer and development –industrial partners nearby

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