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KISTI’s Effort to Contribute to STAR Data Processing

KISTI’s Effort to Contribute to STAR Data Processing. Hyunwoo KIM, Sangdong LEE, Joon WOO May 7 2009 STAR Regional Meeting Busan, Daejeon KOREA. Contents. KISTI-STAR Team History and Activity Data Transfer Test STAR Soft Install Test Plans for Future Contributions Compute Resources.

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KISTI’s Effort to Contribute to STAR Data Processing

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  1. KISTI’s Effort to Contribute to STAR Data Processing Hyunwoo KIM, Sangdong LEE, Joon WOO May 7 2009 STAR Regional Meeting Busan, Daejeon KOREA

  2. Contents • KISTI-STAR Team • History and Activity • Data Transfer Test • STAR Soft Install Test • Plans for Future Contributions • Compute Resources

  3. 1. KISTI-STAR Short History

  4. STAR@KISTI History 1STAR Management KISTI Visit • November 2007 • Jerome Lauret • Jamie Dunlop • Nu Xu • First Introduction of BNL, RHIC & STAR

  5. STAR@KISTI History 2Suggestion of STAR@KISTI • STAR Council Meeting at Mumbai, India • Suggested that KISTI become an official member of STAR collaboration to provide KISTI computing resources • KISTI has sufficient and qualified man power as well • Sangdong LEE : Theoretical Particle Physics • Hyunwoo KIM : Experimental Particle Physics • Dongkyun KIM : Network Expert • Joon WOO : System Expert

  6. STAR@KISTI History 3Submission of Official Proposal Proposal submitted to STAR Council in Apr 30 2008

  7. STAR@KISTI History 4 Visit to Upton LI (BNL) • STAR Council acceptsKISTI’s proposal unanimously • We attended STAR Analysis Meeting at BNL Sep 2008

  8. 2. Data Transfer Test

  9. KISTI’s role and Data Trx Test • In order to fulfil the role of Tier-1 facility, the network connection is major factor

  10. Network Configuration for Test

  11. System Configuration for Test

  12. Testing & results • Data transfer test made for a 5 days period • Did not used the fully installed infrastructure (should be viewed as minimal achievable) • SUCCESS: 600Mbits/sec “stable" achieved • The HIGHEST data transfer rate • From the US to Korea and (Japan apart) the fastest between the US and Asia • Noticed and noted by US agencies (ESnet) • RHIC news underway (good exposure and publicity for KISTI)

  13. 3. Effort to set up Data Processing Testbed

  14. Testbed Configuration • Part of SUN cluster 1st shipment called pdavinci01 – pdavinci16 (16nodes)

  15. STAR software stack install • Group Login Scripts • CERN Libraries • ROOT Building • Additional Software • STAR codes compilation

  16. Testing STAR Software Stack • To test the installation, I run the following: root4star –b .x bfc.C with appropriate arguments but fails with the following errors • Can’t find DB server Unknown MySQL server host “dbx.star.bnl.gov” • Likely a firewall issue • Can’t allocate memory for GZEBRA • /etc/limits

  17. 4. Plans for Future Contributions

  18. STAR, Heavy ion Asian Hub • Asian Hub from/to World • World-Wide Computational Infrastructure • Sharing the high-end IT with World-level Institutes In-Kwon YOO

  19. BNL Expectations

  20. Short-term Plan • Sun testbed (Davinci) • The pdavinci{13,14,15,16} : 4 nodes • Can add 6 more nodes per Mr. Woo Joon • STAR software install complete • STAR Reconstruction Framework • ROOT system from CERN • GEANT from CERN • Test under construction

  21. Mid-term Plan 2009 • Use resources in Massive Data Project • Resources available immediately • 240 Cores + 30 TB • Scientific Linux + PBS (good environment!) • Other experiments that MDP supports • FNAL_CDF: Urgent • CERN_ALICE: Not urgent • KEK_Belle_SuperBelle: 3-4 years later • Looks very promising!!

  22. Long-term Plan 2009+ • Option 1 • Part of Sun 1st shipment3,008 Cores • Same environment tested in Davinci! • Portability • Option 2 • Keep using Massive Data Project resources • Late 2009: 550 Cores + 250 TB

  23. Summary and Conclusion • KISTI can play a very unique role to contribute to the global scientific community such as BNL-STAR, FNAL-CDF, CERN-ALICE/CMS and so on • KISTI needs to expand its structure to incorporate scientific data processing and archiving. • KISTI-STAR program can be a starting point along with Massive Data Project

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