Panel at Internet2 Spring Meeting, April 2010

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Scientific Applications & High Speed Networks Dr. Gabrielle Allen Departments of Computer Science and Physics & Astronomy Center for Computation & Technology Louisiana State University NSF 0947825 (EAVIV), 0904015 (Einstein Toolkit)

Transcript of Panel at Internet2 Spring Meeting, April 2010

Page 1: Panel at Internet2 Spring Meeting,  April 2010

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)

Page 2: Panel at Internet2 Spring Meeting,  April 2010

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