national computational science alliance introducing the national computational science alliance...

National Computational Science Alliance

Introducing the National Computational Science Alliance

• Panel Presentation to Supercomputing ‘97 in San Jose

• November 21, 1997


How to Find out More About the Alliance

See also http://alliance.ncsa.uiuc.edu


• Leading Edge Centers– Supernodes of the Grid

• Enabling Technology Teams– Architects of the Grid

• Applications Technologies Teams– Specifications for the Grid

• Education, Outreach, and Training Teams– Content for the Grid

• Partners for Advanced Computational Services– Support for the Grid

• Industrial Partners and Strategic Vendors– Technology Transfer for the Grid

The Alliance is Prototyping the National Technology Grid


The Alliance National Technology Grid


Alliance Executive Committee

Larry Smarr, Chair

Phil Smith, External Chair

Charlie Bender, OSC Bob Berdine, Caterpillar David Ceperley, UIUC John Connolly, Kentucky Tom DeFanti, UIC Roscoe Giles, Boston U

John Hennessy, Stanford

Ken Kennedy, RiceGreg McRae, MITJeremiah Ostriker, Princeton Dan Reed, UIUCRick Stevens, Argonne Mary Vernon, Wisconsin Paul Woodward, Minnesota


Exponential Growth in National User Demand Will Drive Grid Capabilities

Source: Quantum Research Database


World’s Largest Unclassified SGI/Cray Origin - NCSA’s Cluster of DSMs

Power Challenge Array

Origin Array

128

4x64

4x32

10x16

Processors

128 Processors Equals a 512 Processor CM-5


Putting a Window in the Supercomputer Oven- This Week’s Run on the 128 Processor Origin

Porter, Anderson, Habermann, Ruwart, & Woodward , LCSE,Nov. 1997

Data Moved From NCSA over vBNS to U Minnesota-Visualization at SC97 While Simulation Runs at NCSA

Surface View Interior View

Evolution of a Red Giant with White Dwarf Core


Alliance SGI/Cray Origin2000 Virtual Community

http://scv.bu.edu/SCV/Origin2000/


Alliance Partner Allocatable Resources

• Boston University– 192 processor

Origin2000– 38 processor POWER

CHALLENGEarray– 100,000 processor hours

• New Mexico– 500+ node IBM SP-2– 175,000 node hours

• Ohio Supercomputer Center– Training on T3E and

Triton

• Kentucky– 32 processor HP

Exemplar SPP-1200– 25,000 processor hours

• Wisconsin– 600+ workstation Condor

flock– 200,000 processor hours


Computing on the University of Wisconsin Condor Pool

Condor Cycles

CondorView, Courtesy of Miron Livny, Todd Tannenbaum(UWisc)


The Emergence of Knowledge Management

October 20, 1997


Information Visualization - Insurance Claims Data

Allstate Insurance, NCSA Using SGI Mineset


The Coming Integration of Technical and Commercial Computing

• The Emergence of High Performance Commercial Computing– Computational Knowledge Management– Focus on:

– Large Data Sets and Information Visualization– AI Techniques for Data Mining– Optimization and Decision Support– Financial “Rocket Science”

• NT / UNIX Interoperability and Scalability– HP and SGI DSMs– Scalable NT Clusters and NCSA Symbio– HP/Intel Merced Processor in FY99-00


NSF vBNS and PACI - Mutually Interdependent

NPACI

NCSA Alliance

Both NCSA Alliance and NPACI

Other High Performance Connection sites

Current vBNS “Backbone” sites


MREN and STAR-TAP

MREN - America’s First Operational Gigapop - Midwest Sites

OC12 vBNS Indiana Hub

Indiana Univ

Purdue

Wisconsin

Minnesota/LCSE

NCSA

Michigan Hub

U Michigan Michigan State


International Connections Through STAR TAP


Alliance Enabling Technologies Teams - Faculty Leads

• Parallel Computing (16)– Ken Kennedy, Rice U

– Greg McRae, MIT

• Distributed Computing (15)– Rick Stevens, Argonne

– Paul Woodward, U Minnesota

• Data and Collaboration (14)– Dan Reed, UIUC

– Roscoe Giles, Boston U


Alliance Applications Technologies Teams - Science and Engineering Driving the Grid

• Cosmology (5)• Environment Hydrology (11)• Chemical Engineering (7)• Bioinformatics (9)• Nanomaterials (11)• Scientific Instruments (8)


Emergence of Large Scale Structure Using Traditional MPP Supercomputer

Source: Greg Bryan, Mike Norman, NCSA

512x512x512 Run on 512-node CM-5

Evolution Fly Thru


Use of Shared Memory Adaptive Grids -Alliance Cosmology Team

Source: Greg Bryan, Mike Norman, John Shalf, NCSA

64x64x64 Run with Seven Levels of Adaption on SGI Power Challenge,Locally Equivalent to 8192x8192x8192 Resolution


Collaborative Virtual Enviornment -NCSA / CEWES

• Environmental Modeling in Shared VR-space– Chesapeake Bay Simulations and Databases

ImmersaDesks

vBNS

DREN

SGI Onyx(NCSA)

SGI Onyx (CEWES)

Integrated M-Bone Videoteleconferencing

Images produced by John Shalf, NCSA

SGI Onyx(Old Dominion)

SGI Onyx(U. Wisc)


Using CAVE5D with NCSA’s Virtual Director to Analyze Chesapeake Bay Simulations

Alliance Environmental Hydrology Applications TeamGlen Wheless and Cathy Lascara,

Center for Coastal Physical Oceanography, Old Dominion University

Donna Cox, Robert Patterson, Stuart Levy, NCSAVirtual Director Team

Fish Larvae at Mouth of the Bay15 Day Period

Salinity (Red-High, Yellow-Low)


Alliance Visualization Development and Deployment Partners


Alliance National Technology GridWorkshop and Training Facilities

Powered by Silicon GraphicsLinked by the NSF vBNS


ChickScope - Coupling Alliance Application Team to Education Team


Using Java to Teach Computational Science-The Java Virtual Wind Tunnel

http://www.ncsa.uiuc.edu/SDG/Software/Habanero/Tools/WT/index.html

A Java Applet Converted to a Habanero Hablet

national computational science alliance introducing the national computational science alliance...

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