Dr' Frederica Darema

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Dynamic Data Driven Application
Systems (Symbiotic MeasurementSimulation
Systems) http//www.cise.nsf.gov/eia/dddas
Dr. Frederica Darema NSF
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New Paradigm
Simulations (Math.Modeling Phenomenology Observati
on Modeling Design)
Theory (First Principles)
Simulations (Math.Modeling Phenomenology)
Theory (First Principles)
Experiment Measurements Field-Data User
Experiment Measurements Field-Data User
Dynamic Feedback Control Loop
Challenges Application Simulations
Development Algorithms Computing Systems Support
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Examples of Applications benefiting from the new
paradigm

• Engineering (Design and Control)
• aircraft design
• oil exploration
• semiconductor mfg
• computing systems hardware and software design
• (performance engineering)
• Crisis Management
• transportation systems (planning, accident
  response)
• weather, hurricanes/tornadoes, floods
• fire propagation
• Medical
• customized radiation treatment, x-rays, NMR,
  surgery, etc
• epidemics
• Manufacturing/Business/Finance
• Supply Chain (Production Planning and Control)
• Financial Trading (Stock Mkt, Portfolio Analysis)

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Workshop Invited Presentations

• New Directions on Model-Based Data Assimilation
  (Chemical Applications)
• Greg McRae, Professor, MIT
• Coupled atmosphere-wildfire modeling
• Janice Coen, Scientist, NCAR
• Data/Analysis Challenges in the Electronic
  Commerce Environment
• Howard Frank, Dean, Business School, UMD
• Steered computing - A powerful new tool for
  molecular biology
• Klaus Schulten, Professor, UIUC, Beckman
  Institute
• Interactive Control of Large-Scale Simulations
• Dick Ewing, Professor, Texas AM University
• Interactive Simulation and Visualization in
  Medicine Applications to Cardiology,
  Neuroscience and Medical Imaging
• Chris Johnson, Professor, University of Utah

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Technology Challenges

• Application development
• interfaces of applications with measurement
  systems
• dynamically select appropriate application
  components
• ability to switch to different algorithms/componen
  ts depending on streamed data
• Algorithms
• tolerant to perturbations of dynamic input data
• handling data uncertainties
• Systems supporting such dynamic environments
• performance engineering technology
• application development and run-time support

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Enabling DDDAS
Dynamic Data-Driven Application
Systems -- Symbiotic MeasurementSimulation Syste
ms
Dynamic Compilers Application Composition
Performance Engineering
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Enabling DDDAS
Dynamic Data-Driven Application
Systems -- Symbiotic MeasurementSimulation Syste
ms
Dynamic Compilers Application Composition
Performance Engineering
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Distributed Systems Software/Hardware
Architectural Framework
Distributed Applications
Collaboration
Visualization
Environments
Authenication
/
Scalable I/O
Data Management
Authorization
Archiving/Retrieval
Dependability
Performance Engineered Design
Technology
Services
Services
. . .
Other Services
Distributed Systems Management
Distributed, Heterogeneous, Dynamic, Adaptive
Computing Platforms and Networks
Components Technology
Device
CPU
Memory
. . .
Technology
Technology
Technology
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Multiple views of the system The applications
view
Distributed Applications
. . .
Collaboration
Visualization
Environments
Authenication
/
Scalable I/O
Data Management
Authorization
IO / File
Archiving/Retrieval
Dependability
Models
Services
Services
. . .
Other Services
OS
Scheduler
Distributed Systems Management
Models
Architecture /
Distributed, Heterogeneous, Dynamic, Adaptive
Network
Computing Platforms and Networks
Models
Memory
Device
CPU
Memory
. . .
Models
Technology
Technology
Technology
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Multiple views of the system The Operating
Systems view
Distributed Applications
. . .
Collaboration
Visualization
Environments
Authenication
/
Scalable I/O
Data Management
Authorization
Archiving/Retrieval
Dependability
Services
Services
. . .
Other Services
Distributed Systems Management
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Enabling DDDAS
Dynamic Data-Driven Application
Systems -- Symbiotic MeasurementSimulation Syste
ms
Dynamic Compilers Application Composition
Performance Engineering
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New Technology for an integrated feedback and
control compiling system
Application Model

Dynamic Analysis Situation
Distributed Programming Model
Application Program
Compiler Front-End
Application Intermediate Representation
Compiler Back-End
Launch Application (s)
Architecture Models
Dynamically Link Execute
Application Components
Distributed Computing Resources
Distributed Platform
Adaptable computing Systems Infrastructure
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Enabling DDDAS
Dynamic Data-Driven Application
Systems -- Symbiotic MeasurementSimulation Syste
ms
Dynamic Compilers Application Composition
Performance Engineering
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Relevant Agency Efforts

• NSF
• NGS The Next Generation Software Program
• SES Scalable Enterprise Systems
• ITR Information Technology Research
• In addition aiming to develop a DDDAS initiative
• Symbiotic, integrated simulations and
  measurements
• leap-ahead initiative
• will provide a focus for new exciting work in
  applications areas,
• algorithms and in systems areas
• Some more on this, next slide.
• Also DARPA, NASA, DoE interested in these programs

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Agency Opportunities for DDDAS

• All NSF Directorates Interested
• CISE, MPS, ENG, BIO, GEO, SBE, HER
• Many other Agencies Interested
• Gearing for a separate Program sponsored
• by NSF and other Agencies
• Currently
• NSF report www.cise.nsf.gov/eia/dddas
• andITR
• Recent Competition
• 46 DDDAS pre-proposals received
• many meritorious
• about 50 preproposlas encouraged (stiff
  competition)
• 24 proposals submitted
• a dozen funded (remarkable success!)

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What about Industry

• Industry has history of both
• forging new research and technology directions
  and
• adapting and productizing technology which has
  demonstrated promise
• Need to strengthen the joint academe/industry
  research collaborations
• joint projects / early stages
• Technology transfer
• establish path for tech transfer from academic
  research to industry
• joint projects, students, sabbaticals (academe
  lt----gt industry)
• Initiatives from the Federal Agencies / PITAC
  Report
• Cross-agency co-ordination
• Effort analogous to one that pushed the frontiers
  for VLSI, Networking, and Parallel and Scalable
  computing
• DDDAS impact akin to the impact of computers in
  the 50s

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http//www.cise.nsf.gov/eia/dddas
Backup Slides