LHCb Computing Status. Andrei Tsaregorodtsev CPPM

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1 LHCb Computing Status Andrei Tsaregorodtsev CPPM

2 Plan Run II Computing Model Results of the 2015 data processing outlook Preparing for Run III Conclusions 2

3 HLT Output Stream Splitting 12.5 khz to Storage 10 khz Full (+Parked) Stream 2.5 khz Turbo Stream Higher trigger rate ( 2 -> 10 KHz ) 10 khz go to classic Offline reconstruction / stripping on distributed computing resources If needed part of this can be parked and processed in LS 2 New concept of Turbo Stream in Run 2 for ~ 2.5 khz i.e. wherever sufficient, take the HLT output with its event reconstruction directly for physics analysis Initially RAW information included, will be stripped off Offline 3

4 Run II Model RAW replication and prompt processing As soon as the RAW is in CERN-RAW, replicate to: XXX-RAW (XXX being a Tier1, selected according to the RAW shares) tape storage And in addition, to: YYY-BUFFER: if it is decided to reconstruct the run at YYY YYY can be either XXX or CERN Main difference with previous model: Processing input SE selected at replication time (by run) Reconstruction: Run from Tier1-BUFFER Very simple plugin as there is only one BUFFER where each RAW file is The run is attached to the storage at YYY Processing can take place at any associated Tier2 or YYY Upload FULL.DST to YYY-BUFFER (disk) Replicate to the same YYY-RDST (tape) 4

5 FULL.DST vs RDST FULL.DST (= RAW + RDST) ü Single file contains complete event information Only one input file to subsequent processing (stripping) ü Contains a full copy of RAW Costly for storage (3 tape copies of RAW) no longer affordable RDST was in original computing model Abandoned in 2011: Difficult for operation: stripping required synchronous stage of RAW and RDST Access to RAW from RDST requires file catalog Proposal to reinstate RDST Operational issue is gone Now we pre-stage to BUFFER, lifetime is under DIRAC DMS control Still need file catalog, e.g. for stripping tests Now have standard test datasets and options, easy to integrate new configuration. 5

6 Run II Model 2 Stripping Run from YYY-BUFFER replica of FULL.DST Assign upload location to the same site YYY Run stripping in two steps: Stripping step Create an XFULL.DST (!) Contains RAW+DST for all selected events (temporary file) + selection information Streaming step (run on many XFULL.DST files, fast) Create all streams (with or w/o RAW data as defined by WG) Upload to YYY-BUFFER Create an additional ALLSTREAMS.DST stream Upload to selected YYY-RDST (i.e. tape only) Remove FULL.DST from BUFFER Issue a removereplica request in the job Merging Upload preferentially to selected YYY-DST but can be to any Tier1-DST (no need for FAILOVER) 6

7 Data flow for FULL stream CERN-RAW RAW Replication transformation RDST Processing transformation Tier1-RAW Dest-BUFFER (CERN or Tier1) Stream. (M)DST Legend Reconstruction Dest-BUFFER Stripping Merging Dest-DST Dest- BUFFER 7

8 8 ONLINE Calibration & Turbo Stream Major change in the data processing workflow Detector calibration and alignment done in the pit allows physics quality data reconstruction in the pit So produced Turbo stream for part of the HLT selected data shipped to storage sites and ready for analysis right away TESLA application produces MDST for analysis in prompt production Until end of the year also RAW information is exported and reconstructed to check ONLINE/OFFLINE equivalence Validation of Turbo (and Turbo Validation) workflows successfully conveyed

9 Data flow for TURBO stream CERN-RAW Tier1-RAW Dest-BUFFER (CERN or Tier1) Reconstruction TESLA Dest-BUFFER Dest-DST Stripping Dest-BUFFER Merging Dest- BUFFER Merging Dest-DST 9

10 Mesh processing The initial LHCb Computing Model was strictly hierarchical MONARC legacy T2/T3 sites doing only MC Reconstruction/analysis only in T0/T1 With the introduction of T2D centers the difference between T1 and T2 sites become blurred Mesh processing the other extreme where each site can do everything With reasonable restrictions T2D sites can do everything but associated with a single T1 for uploading data for ( tape ) storage Disk-less sites are working as helpers for T1 sites Downloading input data local from anywhere Uploading to associated T1 storage The restrictions are formulated as a set of mappings of sites to storages, job types to sites, etc which are taken into account in the job generation by the production system Already used in the data reconstruction chain in

11 11 CPU Time Provided by Sites Not much news: as usual T0, T1 sites + Yandex are the top providers Still some news a cloud site (CERN) for the first time in the top 20 contributors Was 28 th in last report and naturally no more OFFLINE processing at the HLT farm since Run2 start

12 Running Jobs

13 13 Job Success Rates increas e Stalled MC Jobs Job success rate decreased over reference period to ~ 90 % (Done + Completed) Used to be at ~ 95 % for very long time Increase in stalled jobs b/c of Simulation productions for Trigger Upgrade studies with high µ & occupancy Failure causes are under investigation Most of requests are finished by now -> sneak preview on Run3 data processing + working on calculation queue time left problem

14 French sites CC/IN2P3 is performing extremely well (citation) Top CPU provider in the year 2015 Usage over pledges T2D sites are performing well as well GRIF Some weaknesses in the SRM storage CPPM Picking up activity progressively 100 TB -> 300 TB disk increase in 2016 is foreseen 14

15 T0/T1 WLCG accounting 15

16 T2 WLCG accounting 16

17 Storage 17

18 Disk Storage 18

19 Summary of Requests Tape 19

20 Computing resources Conventional Grid Sites HLT use for off-line reconstruction, MC simulation Less contribution with the LHC operational Clouds OpenStack at CERN is already in top 20 contributors BOINC HPC Vcycle VAC ( UK sites ) LHCb@Home Not much but picking up Not so many available to LHCb OSC, Ohio Supercomputer Center Accessible through SSH tunnel No particular restrictions More to come Standalone clusters Yandex + few others 20

21 Run III perspectives Discussions started to formulate the Computing Model for Run III ( ~2021 ) The Model to be defined in Q Many ideas being investigated Multi-processing ( already to be introduced starting in 2016 ) Applications ( Gaudi, Root based ) are ready for multiprocessing WMS scheduling to be adapted Easy for simple cases Complex masonry to be addressed Use of scalable no-sql databases Prototypes using ElasticSearch for ( job ) monitoring Using Message Queues as a replacement for the DIRAC client/server protocols Web technologies Parallel processing oriented languages, e.g. Go Too early to make final decisions now 21

22 Conclusions Run II Model main changes Higher trigger rate Turbo stream for prompt reconstruction/analysis Mesh processing for reconstruction and stripping Processing from disk buffers ( avoid staging step ) Smooth running in 2015 Good performance of french T1/T2 sites, T2D contribution is increasing Data optimization reduced the needs in disk storage No increase in the demand for 2016 Requests for decreased for tape storage due to the LHC operation Run III Computing Model discussions started Lot of prototyping work foreseen to test emerging technologies The final formulation is planned for Q

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