HLT CPU Consumption

Transcript

1. HLT CPU Consumption Sasha Mazurov 6 Febrary 2012
2. Tool Gaudi Auditor & Intel® VTune™ Amplifier XE 2011 Can be run on any lxplus node
3. Benefits ➔ Can focus on a specific sequence/algorithm(s). ➔ Skip initialization & finalization phase. ➔ Report CPU consumption per algorithm / function / class / module. ➔ Perfect GUI & reports.
4. http://amazurov.ru/cern/intelprofiler/ - installation - documentation - screencasts $> intelprofiler -o /where/to/store/profiler/output myJob.py
6. Profiler vs. HLT1 Lines (Offline )
7. https://github.com/mazurov/HltProfiling profiler = IntelProfilerAuditor() profiler.StartFromEventN = 5000 profiler.StopAtEventN = 15000 profiler.IncludeAlgorithms = ["Hlt1TrackAllL0", "Hlt1DiMuonHighMass", "Hlt1DiMuonLowMass"] Jop Options Moore v12r10
8. Hotspots
9. Top Hotspots
10. CPU/Per Function
11. CPU / Per Module
12. CPU/Per Algorithm
13. http://amazurov.ru/cern/hltprofilingresults/
14. CPU / Per Function In Algorithm
15. CPU / Per Source Code (debug mode)
16. TCMalloc vs. “new” Operator
17. Before: After: CPU: 238 s CPU: 222 s
18. Results ➔ tc_new is twice faster than “new” operator. ➔ 5% total improvement for Hlt1 job.
19. GCC 4.3 vs. GCC 4.6
20. GCC 4.3 GCC 4.6 -O2 flag ~ 3.6% worth
21. Two profiles comparison
22. Result (preliminary) ➔ It's not evident, that GCC 4.6 optimize better than GCC 4.3 (for HLT1 jobs).
23. Future plans ➔ Profile code compiled with GCC 4.6 and -O3 flag. ➔ Profile code compiled with GCC 4.6's profile driven optimization. ➔ Create a web interface to display collected profiler results.
24. http://amazurov.ru/cern/hltprofilingpresentation