nasa high-end computing environment
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NASA High-end Computing Environment. IT Enabled Science. NASA IT Summit Joe Bredekamp Science Mission Directorate August 17, 2010. The Science Mission Directorate. Astrophysics. Earth Science. Heliophysics. Planetary Science. - PowerPoint PPT PresentationTRANSCRIPT
NASA High-end Computing Environment
IT Enabled Science
NASA IT Summit
Joe Bredekamp Science Mission Directorate
August 17, 2010
The Science Mission DirectorateThe Science Mission Directorate
Astrophysics
Heliophysics
Earth Science
Planetary Science
6/24/10Total Missions / Spacecraft 84 / 98
JPL 2
GSFC 7
JPL 6
JPL 8
JPL 12/15
GSFC 8/12
GSFC 7 GSFC 24/32
MSFC 2
MSFC 2
DFRC 1/0
SMAPOCO-2
ICESat-IIIRISSolar OrbiterSolar Probe +GEMSAstro H MAVEN
NuSTARST-7AquariusMSLJUNOGRAIL
JWSTLDCMGPMGloryNPPSET-1RBSP (2)MMS (4)
SOFIA(1/0) WISEHerschelPlanckOSTM~RosettaDAWNEPOXI*NExT*
FermiAuraTWINS-ACINDITWINS-BIBEXSDO
MESSENGERNew Horizons
GALEXSpitzerCloudsatACRIMsatGRACE (2)Jason-1Voyager (2)Mars ExpressMars OdysseyMER (2)CassiniMRO
HSTSuzakuIntegralRXTEWMAPXMMSWIFTAquaSORCEEO-1TerraTRMMLandsat 7~THEMIS (5)STEREO (2)AIMCluster-2 (4)
ChandraHinode
RHESSI SOHOTIMED TRACE WIND ACEGEOTAIL
Italics = US instruments on foreign missionX / Y = # of missions / # of spacecraft* New missions for Deep Impact and Stardust, respectively~ Operated by another agency
SOFIA is a mission projects but does not add spacecraft
MSFC 2
In concept development/pre-formulation: JDEM, SIM-Lite, LISA, IXO, Mars 2016/ExoMars, Mars 2018, OPF, CLARREO, DESDynI, GRACE FO, SAGE III
LaRC 1
CALIPSONF-3
Strofio
NOAA Reimbursable:GOES-R, Jason-3 (pre-formulation), JPSS-1&2
ARC 1
Kepler
Primary Ops 19 / 19
Extended Ops 38 / 49
Formulation 12 / 12
Implementation 15 / 18
Astrophysics Earth ScienceHeliophysicsPlanetary Science
ARC 1
LADEE
Strategic Triad of Science
Theory
Models Data
Emerging eScience: 4th pillar or data-intensive science synthesizing theory, experiment, and computation with advanced information science and technology to enable new science challenges
Science Computation and Information Management
Provide comprehensive and robust infrastructure of data, computing, and modeling resources to maximize scientific productivity and knowledge enhancement
Key Principles Stewardship responsibility for the integrity and preservation of science data assets as
a national resource and ensure usability for worldwide community Open Science: Universal access, sharing , and collaboration to science community,
educators, students, and general public
Challenges Multitude and diversity of missions Volume, richness, complexity, and breath of types of data Increasingly interdisciplinary nature of research and “systems science” Widely distributed and diverse nature of assets and capabilities, as well as users and providers Evolution: Emerging technology and innovation Balancing competing constraints for open access vs. security/asset assurance
Mission Operations Science Data Operations Research OperationsData Capture and Initial
ProcessingScience Data Processing Archival & Distribution Scientific Inference and
DiscoveryGenerate time-ordered
science data stream with transmission artifacts removed
Calibration, other corrections, and
generation of higher level data products
Ingest data products, metadata and
supporting documentation
Explore vast data holdings to extract
meaningful scientific insight and knowledge
Mission Control and Data Handling Facilities
Mission Pipeline Processing Systems
Mission Data Archives
Science Investigator-led Processing Systems
Science Discipline-oriented Data Archives
Key Instantiations: EOSDIS Data Centers Planetary Data System Astrophysics Science Archive Research Centers Heliophysics Data Environment: Solar Data Analysis Facility, Space Physics Data Facility
Science Mission Data Lifecycle
Summary• Highly diverse and widely distributed nature of science enterprise environment– no one-size solutions allowed!!– Top-down mandates not generally effective– Maintain federated architecture that fosters and promotes integration, interoperability and use of
shared infrastructure
• Maintain a science perspective for agility and innovation in leveraging NASA IT infrastructure capabilities and constraints
• Need for balancing externally driven compliance and mission effectiveness trades
• Opportunity to improve alignment with IT security and move from compliance-based to risk management, mission assurance approach