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State of CyberGIS Shaowen Wang State of CyberGIS Shaowen Wang

State of CyberGIS Shaowen Wang - PowerPoint Presentation

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State of CyberGIS Shaowen Wang - PPT Presentation

CyberInfrastructure and Geospatial Information Laboratory CIGI Department of Geography and Geographic Information Science Department of Computer Science Department of Urban and Regional Planning ID: 802826

cybergis spatial science computational spatial cybergis computational science big information http analysis computing performance www memory xsede gpu compute

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Slide1

State of CyberGIS

Shaowen Wang

CyberInfrastructure and Geospatial Information Laboratory (CIGI)

Department of Geography and Geographic Information Science

Department of Computer Science

Department of Urban and Regional Planning

National Center for Supercomputing Applications (NCSA)

University of Illinois at Urbana-Champaign

Seattle, WA, USA

September 16, 2013

Slide2

NSF SI2-SSI: CyberGIS Project Team

Principal Investigator

Shaowen Wang

Project Staff

ASU: Wenwen Li and Rob PahleORNL: Ranga Raju VatsavaiSDSC: Choonhan YounUIUC: Yan Liu and Anand PadmanabhanGraduate and undergraduate students

Industrial Partner: EsriSteve Kopp and Dawn Wright

2

Co-Principal Investigators Luc Anselin Budhendra Bhaduri Timothy Nyerges Nancy Wilkins-Diehr

Senior PersonnelMichael GoodchildSergio ReyXuan ShiMarc SnirE. Lynn Usery

Project Manager

Anand Padmanabhan

Chair of the Science Advisory Committee

Michael

Goodchild

Slide3

DiscoveriesQuestionsPredictionsKiller Problems?

3

Slide4

Big Spatial Data

4

Slide5

Big Spatial SimulationImage created by Eric Shook

5

Slide6

Complex Spatial Decision Making

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Slide7

Slide8

Collaborative Knowledge Discovery

8

Slide9

Geodesign

9

Image source:

http

://www.esri.com/news/arcwatch/0412/a-conversation-with-carl-steinitz.html

Slide10

CyberGIS for What and Whom?

CyberGIS Gateway

CyberGIS Toolkit

Middleware

10

Slide11

11

Slide12

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Slide13

Big

Spatial Data

Big

Spatial SimulationComplex Spatial Decision MakingCollaborative Knowledge DiscoveryGeo-DesignCyberGIS GatewayYesMaybeYesMaybeYesMaybeYes

MaybeYesMaybeCyberGIS ToolkitYesMaybeYesMaybeYesMaybeYesMaybeYesMaybeGISolve MiddlewareYesMaybeYesMaybeYesMaybeYesMaybeYesMaybe

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Slide14

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Slide15

HeterogeneousSyntacticSemantic

Dynamic

Spatial and temporal

E.g. social mediaMassiveProduced by individualsAccessible to individuals

15

Large-scaleGlobal coverageFine granularityIndividual-levelHigh-resolutionDistributed accessInteroperabilityPrivacySecurityTheory + Experiment + Computation + Big Data

Slide16

Digital EnvironmentsParallelUsed to be regarded as a way for speeding up GIS functions and spatial analysis

Now becoming a must for GIS and spatial analysis to be built on

Multi- and many-core

GPU (graphics processing unit)Heterogeneous architectureMobileDistributedService-orientedClouds

16Extreme-scale computing, information, and communication systems

Slide17

Computing ProfileTotal Peak Performance 11.61 PFTotal System Memory 1.476 PB XE Compute Cabinets 237XE Peak Performance 7.1 PFXE Compute Nodes 22,640XE Bulldozer Cores 362,240XE System Memory 1.382 PB

XK Compute Cabinets 32

XK Peak Performance (CPU+GPU) 4.51 PFXK Compute Nodes 3072XK Bulldozer Cores (CPU) 24,576XK Kepler Accelerators (GPU) 3072XK System Memory (CPU) 96 TBXK Accelerator Memory (GPU) 18 TBOnline StorageTotal Usable Storage 26.4 PBAggregate I/O Bandwidth > 1 TB/sNear-line StorageAggregate Bandwidth to tape 58 GB/s5-year capacity 380 PB

17

Slide18

Image source:

http://gigaom.com/2010/12/14/facebook-draws-a-map-of-the-connected-world/

via Mike

Goodchild

Slide19

Spatial Computational DomainSufficiently coarse to ensure that the derivation and decomposition of the spatial computational domain is computationally inexpensive

Sufficiently

fine to allow domain decomposition

to produce a large number of sub-domains that are executed concurrently to improve computational performance

19Wang, S., and Armstrong, M. P. 2009. “A Theoretical Approach to the Use of Cyberinfrastructure in Geographical Analysis.” International Journal of Geographical Information Science, 23 (2): 169-193

Slide20

A Hierarchical Computational Framework for Agent-based Modeling

Tang,

W.

and Wang, S. 2009 “HPABM: A Hierarchical Parallel Simulation Framework for Spatially-Explicit Agent-Based Models.” Transactions in GIS, 13 (3): 315-333

20

Slide21

Computational Intensity QuestionWhat is the nature

of computational intensity of

geographic analysis?

Why spatial is special? Comparable to “What is the nature of computational complexity of an algorithm?”

21

Slide22

Spatial Computational Principles/TheoriesSpatial

Distribution

Dependence

IntegrationRepresentationUncertaintyEtc.ComputationalComplexity vs. intensityUncertainty vs. validityPerformance vs. reliabilityEtc.

SCALE22

Slide23

Scalability

23

Slide24

Usability

24

Slide25

Interoperability

25

Slide26

Slide27

Reliability

27

Slide28

Reproducibility

28

Slide29

Understanding of Scientific Processes

29

Slide30

Education and Workforce DevelopmentCyberGIS Gateway

used

by hundreds of undergraduate and graduate students on multiple campuses

Graduated 6 graduate students and trained 4 postdoctoral fellowsCyberGIS’12 (http://www.cigi.illinois.edu/cybergis12/): The First International Conference on Space, Time, and CyberGISCyberGIS Symposium at the 2013 Annual Meeting of the Association of American Geographers – 17

sessionsTutorialsCyberGIS, GIScience, SC, TeraGrid/XSEDE

Slide31

Curriculum and pedagogyPartnershipsOpen ecosystems

31

Slide32

CyberGIS

Discovery and Innovation

Advanced Technologies

Wang, S.

2013. “

CyberGIS: Blueprint for Integrated and Scalable Geospatial Software Ecosystems.” International Journal of Geographical Information Science, 27 (11), in press

InfrastructureMiddlewarePortalGatewayPlatformServiceToolkit

AppsCloudGrid

32

Slide33

www.opensciencegrid.org

www.xsede.org

http://lakjeewa.blogspot.com/2011/09/what-is-cloud-computing.html

Integrated Digital and Spatial

Sciences

CyberGIS Gateway

CyberGIS Toolkit

Space-Time

Integration & Synthesis

GISolve Middleware

33

Slide34

SustainabilityIntellectual frontiersFinancial

Science challenges are long term and multidisciplinary

Reward mechanisms

Accelerate scientific discoveriesReusability OpenStandardsTechnologiesSocial and organizationalCommunity engagementPartnershipsDepartment of Energy Oak Ridge National LaboratoryIndustryUS Geological Survey

34

Slide35

CyberGIS Center for Advanced Digital and Spatial Studies

CyberGIS

Geospatial Sciences and Technologies

Advanced Cyberinfrastructure

Data-Intensive Applications and Sciences

Arts, Emergency

Management,

Energy, Health, Sustainability, etc.

GISolve

Spatial Computational Theories / Methods

Extreme

-Scale

Computing, NSF XSEDE,

Open

Science Grid

Spatial

Thinking

Digital

Thinking

Integration and Synthesis

35

Slide36

Acknowledgments

Federal Agencies

US Geological Survey

Department

of

Energy’s Office of Science

National

Science Foundation

BCS-0846655EAR-1239603OCI-1047916PHY-0621704PHY-1148698TeraGrid/XSEDE SES070004US Geological Survey

Industry

Environmental Systems Research Institute (Esri)Silicon Graphics, Inc. (SGI)

36

Slide37

Acknowledgments – CIGI

37

Slide38

Thanks!Comments / Questions? Email:

shaowen@illinois.edu

38