Panel at Internet2 Spring Meeting, April 2010
Transcript of Panel at Internet2 Spring Meeting, April 2010
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Scientific Applications & High Speed Networks
Dr. Gabrielle AllenDepartments of Computer Science and
Physics & AstronomyCenter for Computation & Technology
Louisiana State University
NSF 0947825 (EAVIV), 0904015 (Einstein Toolkit)
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Why are Networks Important for Science?
• Science & engineering increasing data driven– “data tsumani”, NSF DataNet– Cannot store all data, stream processing
• Non-traditional applications e.g. music, art– Fundamentally large data
• Remote collaboration is crucial– New capabilities needed– Really interactive!
• Exascale: workflow assumes remote analysis• Many current scientific use cases– Petascale & multicore issues ahead
• Use cases crucial for my scientific research
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Multi-physics Simulations
Multi-phase fluids for neutron star cores(nuclear densities,
radiation transport, neutrino transport)
Cosmological spacetimes
Modeling Gamma Ray Bursts
Gravitational waves traveling through
vacuum spacetimeNeed: Co-scheduling, data transfer between components
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Group Data
Data Archiving
Community Archive
Published DataGroup Data
Ranger
Kraken
Queen Bee
Local analysis
Large scale resources
Terabytes of data to be moved (and described).
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Distributed Analysis and Visualization
Andrei will describe: interactivity, large distributed data, co-scheduling, many challenges
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Collaboration
Einstein Toolkit Team: multiple sites collaborating in US, Europe, Japan
Need technologies that allow real interaction, sharing whiteboard, easy and quick to set up
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Challenges• Computational scientists more comfortable with
clusters/filesystems than networks– Limits science! Scaled down resources
• Networking currently involves many partners, long timescales. International connectivity very hard.– High level application-oriented services needed.– APIs between services and applications
• Crucial– End-to-end capabilities (Science done on workstations/laptops– Persistency and production quality– Additional tools, e.g. advanced reservations, on-demand provisioning.
• Need to have real working prototypes to be able to get to details … not just about moving files, new science scenarios