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Introduction to EXPReS - Beyond production e-VLBI services. T. Charles Yun Program Manager EXPReS Project, JIVE. Presentation Overview. Introductions: EXPReS VLBI Correlation (analysis) Some lessons and thoughts. Introduction to EXPReS. What is EXPReS?.

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introduction to expres beyond production e vlbi services

Introduction to EXPReS- Beyond production e-VLBI services

T. Charles Yun

Program Manager EXPReS Project, JIVE

presentation overview
Presentation Overview
  • Introductions:
    • EXPReS
    • VLBI
    • Correlation (analysis)
  • Some lessons and thoughts

IST 2006- Helsinki, Finland

what is expres

Introduction to EXPReS

What is EXPReS?
  • EXPReS = Express Production Real-time e-VLBI Service

The overall objective of EXPReS is to create a production-level, real-time, “electronic” VLBI (e-VLBI) service, in which the radio telescopes are reliably connected to the central supercomputer at JIVE in the Netherlands, via a high-speed optical-fibre communication network...

- or -

Make e-VLBI routine, reliable and realistic for astronomers

IST 2006- Helsinki, Finland

expres details

Introduction to EXPReS

EXPReS Details
  • EXPReS is made possible by the European Commission (DG-INFSO), Sixth Framework Programme, Contract #026642
  • Project Details
    • Three year, started March 2006
    • International collaboration
    • Funded at 3.9 million EUR
    • Means: high-speed communication networks operating in real-time and connecting some of the largest and most sensitive radio telescopes on the planet

IST 2006- Helsinki, Finland

activities in expres

Introduction to EXPReS

Activities in EXPReS
  • Networking Activities
    • NA1: Management of I3
    • NA2: EVN-NREN Forum
    • NA3: e-VLBI Science Forum
    • NA4: e-VLBI Outreach, Dissemination & Communications
  • Specific Service Activities
    • SA1: Production e-VLBI Service
    • SA2: Network Provision for a Global e-VLBI Array
  • Joint Research Activities
    • JRA1: Future Arrays of Broadband Radio Telescopes on Internet Computing

IST 2006- Helsinki, Finland

expres partners

Introduction to EXPReS

EXPReS Partners
  • Joint Institute for VLBI in Europe (coordinator), the Netherlands
  • AARNET Pty Ltd., Australia
  • ASTRON, the Netherlands
  • Centro Nacional de Informacion Geografica, Spain
  • Chalmers Tekniska Hoegskola Aktiebolag, Sweden
  • Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia
  • Cornell University, USA
  • Delivery of Advanced Network Technology to Europe Ltd. (DANTE), UK
  • Instituto Nazionale di Astrofisica, Italy
  • Instytut Chemii Bioorganicznej PAN, Poland
  • Max Planck Gesellschaft zur Foerderung der Wissenschaften e.V., Germany
  • National Research Foundation, South Africa
  • Shanghai Astronomical Observatory, Chinese Academy of Sciences, China
  • SURFNet b.v., The Netherlands
  • Teknillinen Korkeakoulu, Finland
  • The University of Manchester, UK
  • Universidad de Concepcion, Chile
  • Uniwersytet Mikolaja Kopernika, Poland
  • Ventspils Augstskola, Latvia

IST 2006- Helsinki, Finland

primer vlbi

Introduction to VLBI

Primer- VLBI
  • A radio telescope looks at an object in the sky and collects data to create an “image” of the source
  • Multiple telescopes can view the same object. The distance between the telescopes is the baseline. The baseline can be compared to building a single telescope with the diameter of this distance (sort of).
  • The resolution increases with additional telescopes and longer baselines
  • Correlation is the process by which data from multiple telescopes is collected and processed to create a more accurate image. The correlator a super computer (interferometry)
  • The sensitivity of the image increases with the data collection rate at the telescope

IST 2006- Helsinki, Finland

once upon a time

Introduction to VLBI

Once upon a time...
  • Telescopes collected data on tapes… heavy and bulky… postal mail… once all the tapes arrived… tapes were lost/damaged… hard drive arrays slightly improved the situation...
    • It was not unusual for the time between experiment to the beginning of correlation to be multiple weeks.
  • Today, you can transport the data over the network:

e-VLBI - electronic VLBI

IST 2006- Helsinki, Finland

why transport data over the network

Introduction to VLBI

Why transport data over the network?
  • Using the network to transport data improves science
  • Eliminating the need to move physical objects enables:
    • Real time analysis
    • Ability to identify minor problems in data collection
    • Hybrid observations
    • Responsiveness to transient events
    • Automated observation (hands-off observing)
  • Networked data supports flexible analysis

IST 2006- Helsinki, Finland

primer correlation analysis

Introduction to Correlation

Primer- Correlation (Analysis)
  • Synthesis imaging simulates a very large telescope by measuring Fourier components of sky brightness on each baseline pair
  • EVN MkIV data processor at JIVE
    • custom silicon, 1024 chips
    • Input data is 1 Gb/s max
    • Around 100 T-operations/sec
  • Dedicated, purpose designed/built hardware

IST 2006- Helsinki, Finland

once upon a time1

Introduction to Correlation

Once upon a time…
  • Cost to build correlator… limited flexibility (majority of computation in custom hardware)… preset data input rates… scheduling of scarce resource (correlator)… upgrade cost forces longer life-cycle than desired

IST 2006- Helsinki, Finland

why grid ify correlation

Introduction to Correlation

Why “Grid-ify” correlation?
  • Grid computing offers promising possibilities:
    • keep up with input (e.g., LOFAR on BlueGene)
    • Higher precision and new applications
    • Better sensitivity, interference mitigation, spacecraft navigation
  • Can CPU cycles be found on the Grid?
    • From 16 antenna @ 1Gb/s (eVLBI) To 1000s at 100 Gb/s (SKA)

IST 2006- Helsinki, Finland

lessons learned

Reflection.

Lessons Learned

Each of these bullets is a set of papers, posters and presentations in and of itself…

  • Networking is coordination
    • EXPReS participants on 6 continents
  • Connectivity
    • Networking assumes connectivity, Last mile issues
  • Saturating the network is hard
    • End host hardware
    • End-to-end Network optimization
  • Designing new applications
    • Custom software- operational vs. proof of concept
    • Flexible solutions- address current problems, future needs

IST 2006- Helsinki, Finland

looking forward

Reflection.

Looking Forward
  • Much has been done before
    • Importance of standards, open source
    • Look at other leaders in the field
  • Collaboration
    • Working across disciplines, continents
    • Partnering to fill gaps (e.g., cpu hardware, analysis algorithms, visualization, network, storage)
  • Shared investments

IST 2006- Helsinki, Finland

questions answers

Conclusion

Questions/Answers
  • Contact information

T. Charles Yun

Project Manager

EXPReS (JIVE)

tcyun \at\ jive dot nl

  • Additional Information

http://expres-eu.org/ [note: only one “s”]

http://www.jive.nl/

  • EXPReS is made possible through the support of the European Commission (DG-INFSO), Sixth Framework Programme, Contract #026642

IST 2006- Helsinki, Finland