Data- and Compute-Driven Transformation of Modern Science Update on the NSF Cyberinfrastructure Vision People, Sustainability, Innovation, Integration Edward Seidel Acting Assistant Director, Mathematical and Physical Sciences, NSF (Director, Office of Cyberinfrastructure) 1
24
Embed
Data- and Compute-Driven Transformation of Modern Science
Data- and Compute-Driven Transformation of Modern Science Update on the NSF Cyberinfrastructure Vision People, Sustainability, Innovation, Integration. Edward Seidel Acting Assistant Director, Mathematical and Physical Sciences, NSF (Director, Office of Cyberinfrastructure ). - PowerPoint PPT Presentation
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
and Physical Sciences, NSF(Director, Office of Cyberinfrastructure)
1
2
Profound Transformation of Science
Gravitational Physics Galileo, Newton usher in birth of
modern science: c. 1600 Problem: single “particle” (apple)
in gravitational field (General 2 body-problem already too hard)
MethodsData: notebooks (Kbytes)Theory: driven by dataComputation: calculus by hand (1
Flop/s) Collaboration
1 brilliant scientist, 1-2 student
33
• 3D Collision• Science Result
• Year: 1998
• Team size
• ~ 15• Data produced
• ~ 50Gbytes
Profound Transformation of Science
Collision of Two Black Holes
• Science Result
• The “Pair of Pants”• Year: 1994
• Team size
• ~ 10• Data produced
• ~ 50Mbytes
• Impact of HPC taking root
Science ResultThe “Pair of Pants”
Year: 1972 Team size
1 person (S. Hawking) Computation
Flop/s Data produced
~ Kbytes (text, hand-drawn sketch)
400 years later…same!
4
Now: Complexity of UniverseLHC, Gamma-ray bursts!
Gamma-ray bursts!• GR now soluble: complex problems in relativistic astro can now be attacked• All energy emitted in lifetime of sun bursts out in a few seconds: what are they?! Colliding BH-NS? SN?• GR, hydrodynamics, nuclear physics, radiation transport, neutrinos, magnetic fields: globally distributed collab!• Scalable algorithms, complex AMR codes, viz, PFlops*week, PB output!
LHC: What is the nature of mass? Higgs particle?• ~10K scientists, 33+ countries, 25PB data, distributed!• Planetary lab for scientific discovery!
Remote Instrument
Remote Instrument
5
Grand Challenge Communities Combine it All...
Where is it going to go?
5
Same CI useful for black holes, hurricanes
6
Grand Challenge Communities Complex problems require many disciplines,
all scales of collaborations, advanced CI Individuals, groups, teams, communitiesMultiscale Collaborations: Beyond teams
Partners: MPS, CISE, ENG, GEO and SBE 2009: $16M from OCI, matched for total of
$35M! 2007-9 Total: 42 awards, ~200 proposals,
$60M Equivalent to entire Track-2 award
(including O&M) CDI: CISE led, NSF-wide
OCI a “Big 4” contributor in FY09! (CISE, ENG, OCI, MPS…), $63M total
OCI contributed to 22 awards, more than $10M
CI Re-Use: Internal OCI-led NSF program OCI venture fund of $4M to catalyze CISE, GEO, OPP, BIO and MPS 13 awards, > $20M investments catalyzed
by OCI
14
15
MREFC Projects:NEON, and Cyber-GIS
James Collins, Assistant DirectorBiological Sciences Directorate, NSF
Office of Management and Budget Briefing October 5, 2009
National Ecological Observatory Network New horizons for large-scale biology
• How does the effect of climate change on biosphere processes vary along regional and continental gradients?
• What is the effect of the biosphere on regional climate? • How will land use change affect the dispersion of invasive
species through a region and across the continent?• How do large scale physical processes produce regional to
continental ecological responses?
In theory all life is interconnected….What is NEON?
NEON is an integrated sensing system to detect, understand, and forecast the consequences of climate and landuse change and the effects of invasive species on the biosphere of the U.S. at the regional and continental scales.
Enables research to address ….
Cyberinfrastructure
Decision Support
Education
Research
Distributed DistributedCentralized
Operational and Support Systems (OSS)
Data Services
Data Management
Airborne Remote Sensing
ArchiveData ProductsRaw
Data Acquisition
Data Process Management Portals
Future Sources
In situ Sensors
Satellite Remote Sensing
Biological Monitoring and Measurements
Landuse Analysis Package
On land use, land cover and land management -- drivers of change
Across multiple spatial scales (local to the continental) for the entire NEON realm
Across multiple temporal scales (days to decades to centuries) to help understand legacy effects of prior land use on ecosystem function and performance
For use by ecological modelers and forecasters to extend models to a continental scale
The NEON Land Use Analysis Package (LUAP) provides information:
(ISEP, NOD)
Goal to “… collate existing data … on past and current land use practices as well as economic and social data that are useful for prediction of future land use processes”
Landuse Analysis Package NEON must scale from site to region to
continentRemote sensing, aircraft borne, satellite. Spectral and LiDAR data converted into 3D
biogeochemical fingerprints of earth surface including vegetation and human structures.
GIS critical to convert sensor data to spatial data
USGS will provide satellite data from MODIS, Landsat, etc.
NEON will ingest other spatial data from and convert them into spatial data using GIS 20
21
New Approaches with CF21
Emerging CF21 Concepts CF21 HPC program
Sustainability, hubs of innovation + experimentalLooking to develop new program in FY10
CF21 Software Institutes and InnovatorsTransform innovation into sustainable softwareSignificant multiscale, long-term program
• Connected institutes, teams, investigators• Integrated into CF21 framework w/Directorates
22
Hierarchical structures that link innovation and sustainability, integrate with national and campus activities
Concept for NSF-wide Fellowships for Transformative Computational Science
Goal: People! Build innovative researchers in computational science by supporting outstanding postdocsEmphasize central role of cyberscience in all
sciences (physical, biological, geological, mathematical, social, behavioral, economic, computer, information and data)
Support cyberscience research and education: CI-based, cross disciplinary boundaries• Use CI to make revolutionary advances in their
disciplines• Research and develop CI that enables innovative
computational practices 23
Summary Science is being revolutionized through CI
Compute, data, networking advance suddenly 9-12 orders of magnitude after 4 centuries
All forms of CI—including GIS—needed for science
NSF responsive: developing much more comprehensive, integrated CF21 initiativeAll units involved; OCI, CISE play important rolesCommunity deeply engaged in planningActivities ramp up in FY11-12 and beyond
People, sustainability, innovation, integrationLonger term programs, better linked, hubs of
innovationSupport computational scientists who develop