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“UCF”

“UCF”. Computing Capabilities at UNM HPC. Timothy L. Thomas UNM Dept of Physics and Astronomy. I have a 200K SU ( 150K LL CPU hour ) grant from the NRAC of the NSF/NCSA, with which UNM HPC (“AHPCC”) is affiliated. (Stolen from Andrew…). Peripheral Data Vs Simulation.

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“UCF”

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  1. “UCF” Computing Capabilities at UNM HPC Timothy L. Thomas UNM Dept of Physics and Astronomy Timothy L. Thomas

  2. Timothy L. Thomas

  3. Timothy L. Thomas

  4. Timothy L. Thomas

  5. Timothy L. Thomas

  6. Timothy L. Thomas

  7. I have a 200K SU (150K LL CPU hour) grant from the NRAC of the NSF/NCSA, with which UNM HPC (“AHPCC”) is affiliated.

  8. (Stolen from Andrew…) Peripheral Data Vs Simulation Simulation: Muons From Central Hijing (QM02 Project07) Data: Centrality by Perp > 60

  9. (Stolen from Andrew…) Simulated Decay Muons • QM’02 Project07 PISA files (Central HIJING) • Closest cuts possible from PISA file to match data(PT parent >1 GeV/c, Theta Porig Parent 155-161) Investigating possibility of keeping only muon and parent hits for reconstruction. • 17100 total events distributed over Z=±10, ±20, ±38 More events available but only a factor for smallest error bar Zeff ~75 cm Not in fit "(IDPART==5 || IDPART==6) && IDPARENT >6 &&IDPARENT < 13 && PTHE_PRI >155 && PTHE_PRI < 161 && IPLANE == 1 && IARM == 2 && LASTGAP > 2002 && PTOT_PRI*sin(PTHE_PRI*acos(0)/90.) > 1."

  10. Now at UNM HPC: • PBS • Globus 2.2.x • Condor-G / Condor • (GDMP) • …all supported by HPC staff. • In Progress: • A new 1.2 TB RAID 5 disk server, to host: • AFS cache  PHENIX software • ARGO file catalog (PostgreSQL) • Local Objectivity mirror • Globus 2.2.x (GridFTP and more…)

  11. Pre-QM2002 experience • with globus-url-copy… • Easily saturated UNM • bandwidth limitations • (as they were at that time) • PKI infrastructure and • sophisticated error-handling • are a real bonus over bbftp. • (One bug, known at the time • is being / has been addressed.) • (at left: 10 streams used) KB/sec

  12. LLDIMU.HPC.UNM.EDU Timothy L. Thomas

  13. Timothy L. Thomas

  14. Timothy L. Thomas

  15. Timothy L. Thomas

  16. Timothy L. Thomas

  17. Resources Assume 90KByte/event and 0.1GByte/hour/CPU Filtered event can be analyzed, but not ALL PRDF event Many trigger has overlap.

  18. Rough calculation of real-data processing (I/O-intensive) capabilities: 10 M events, PRDF-to-{DST+x}, both mut & mutoo; assume 3 sec/event (*1.3 for LL), 200200 KB/event.  One pass: 7 days on 50 CPUs (25 boxes), using 56% of LL local network capacity.  My 200K “SU” (~150K LL CPU hours) allocation allows for 18 of these passes (4.2 months)  3 MB/sec Internet2 connection = 1.6 TB / 12 nights (MUIDN_1D1S&NTCN) (Presently) LL is most effective for CPU-intensive tasks: simulations can easily fill the 512 CPUs; e.g, QM02 Project 07. Caveats: “LLDIMU” is a front-end machine; LL worker node environment is different from CAS/RCS node ( P.Power…)

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