Computing Infrastructure for Gravitational Wave Data Analysis
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1 Computing Infrastructure for Gravitational Wave Data Analysis Junwei Cao for the LIGO Scientific Collaboration Tsinghua University / MIT LIGO Laboratory The 3 rd China-U.S. Roundtable on Scientific Data Cooperation Qingdao City, China March
2 Outline Background introduction» Gravitational wave detection» LIGO and LIGO Scientific Collaboration LIGO data computing infrastructure» The LIGO data archiving» The Data monitoring system (online & offline)» The LIGO data grid» The LIGO data replication» Grid enabling data monitoring» The Open Science Grid Cyberinfrastructure perspective
3 Gravitational Waves Gravitational waves are prediction of Einstein s General Theory of Relativity. No direct detection of GWs is successful for nearly 100 years. A new window to observe the universe
4 LIGO & LSC LIGO: Laser Interferometer Gravitational wave Observatory ( 激光干涉引力波天文台 ) U.S. NSF flagship project with largest single investment; a joint effort of Caltech and MIT LSC: the LIGO Scientific Collaboration with over 500 scientists from over 60 institutes worldwide LIGO Hanford Observatory (H1, H2) LIGO Livingston Observatory (L1)
5 International Network of Detectors LIGO GEO Virgo TAMA Simultaneously detect signals AIGO
6 LIGO Data Archiving Data are comprised of:» Gravitational Wave channel (AS_Q)» Physical Environment Monitors» Internal Engineering Monitors Multiple data products beyond raw data» RDS_R_L1, including both GW and environmental channels» RDS_R_L3, including only AS_Q channel L-RDS_R_L gwf Site (H,L) Data Type Duration GPS Start Time
7 Data Monitoring Toolkit (DMT) SMP Server Name Server client gui lsmp Single data stream lmsg DMT Online Use Scenario control-room type DMT Offline Use Scenario standalone or grid enabled Multiple data streams DMT Monitors base MonServer /data/node10/frame/s3/l3/lho/h-rds_r_l gwf /data/node11/frame/s3/l3/lho/h-rds_r_l gwf /data/node12/frame/s3/l3/lho/h-rds_r_l gwf /data/node13/frame/s3/l3/lho/h-rds_r_l gwf /data/node14/frame/s3/l3/lho/h-rds_r_l gwf /data/node15/frame/s3/l3/lho/h-rds_r_l gwf /data/node16/frame/s3/l3/lho/h-rds_r_l gwf /data/node10/frame/s3/l3/llo/l-rds_r_l gwf /data/node11/frame/s3/l3/llo/l-rds_r_l gwf /data/node12/frame/s3/l3/llo/l-rds_r_l gwf /data/node13/frame/s3/l3/llo/l-rds_r_l gwf /data/node14/frame/s3/l3/llo/l-rds_r_l gwf /data/node15/frame/s3/l3/llo/l-rds_r_l gwf /data/node16/frame/s3/l3/llo/l-rds_r_l gwf container sigp ezcalib dmtenv Stdout Trigger files Alarm files Trend files xml html xsil event trig frameio DMT Libraries
8 DMT Offline (DOL) multilist.txt filelist1.txt filelist2.txt rmon filelist1.txt /data/node10/frame/s3/l3/llo/l-rds_r_l gwf /data/node11/frame/s3/l3/llo/l-rds_r_l gwf /data/node12/frame/s3/l3/llo/l-rds_r_l gwf /data/node13/frame/s3/l3/llo/l-rds_r_l gwf /data/node14/frame/s3/l3/llo/l-rds_r_l gwf /data/node15/frame/s3/l3/llo/l-rds_r_l gwf /data/node16/frame/s3/l3/llo/l-rds_r_l gwf filelist2.txt /data/node10/frame/s3/l3/lho/h-rds_r_l gwf /data/node11/frame/s3/l3/lho/h-rds_r_l gwf /data/node12/frame/s3/l3/lho/h-rds_r_l gwf /data/node13/frame/s3/l3/lho/h-rds_r_l gwf /data/node14/frame/s3/l3/lho/h-rds_r_l gwf /data/node15/frame/s3/l3/lho/h-rds_r_l gwf /data/node16/frame/s3/l3/lho/h-rds_r_l gwf standalone run of rmon DMT offline monitor opt stride 16.0 channel_1 H1:LSC-AS_Q channel_2 L1:LSC-AS_Q rmon]$ export LD_LIBRARY_PATH=/opt/lscsoft/dol/lib rmon]$./rmon -opt opt -inlists multilist.txt Processing multi list file: multilist.txt Number of lists added: 2 Total data streams: 2 Processing frame list file: /home/jcao/rmon/filelist1.txt Number of files added: 1188 Total frame files: 1188 Processing frame list file: /home/jcao/rmon/filelist2.txt Number of files added: 1188 Total frame files: 1188 channel[1]=h1:lsc-as_q channel[2]=l1:lsc-as_q startgps= stride=16 r-statistic= startgps= stride=16 r-statistic= startgps= stride=16 r-statistic=
9 The LSC Data Grid (LDG) Birmingham Cardiff AEI/Golm
10 The LDG Software Stack End users & applications LDAS DMT LALApps Matlab Application enabling LSC Job management LSC Data management LDM LDGreport Glue Onasys LDR LSCdataFind LSCsegFind The LSC Data Grid Client/Server Environment Version 4.0 (based on VDT 1.3.9) LSC Security management Applications LSCcertUtils LSC CA Infrastructures Condor-G Worklfow management / Condor DAGman VDS VOMS Catalog service / Globus Resource location service / Globus Metadata service Resource management / Globus GRAM Data transfer / GridFTP Middleware / Services Operating Systems and Job scheduling / Condor FC4 GCC Python Autotools Grid security / Globus GSI MySQL
11 LIGO Data Replication (LDR) LHO (Tier 0) Caltech (Tier 1) LDRMaster LDRMaster MIT (Tier 2) mysql 1. update metadata lfn mysql LDRMetadataService LDRMetadataService LDRSchedule 2. get lfn RLS RLS 5. rlsadd lfn LDRSchedule LDRTransfer (gridftp) LDRTransfer (gridftp) 4. gridftp 3. generate lfn Local Storage Module Local Storage Module LLO (Tier 0)
12 LDM: Grid Enabling DMT grid-enabled run of rmon DMT offline monitor using LDM ~]$ cd ldm ldm]$ source setup.sh ldm]$ cd../rmon rmon]$ ldm_agent rmon]$ ldm_submit ldm.sub Job test has been submitted. rmon]$ more ldm_test_condor.out Processing multi list file: ldm_test_cit_multilist.txt Number of lists added: 2 Total data streams: 2 startgps= stride=16 r-statistic= ldm.sub [job] id = test monitor = rmon args = -opt opt input = opt [data] observatory type start = end = automatically generated Condor-G submission file universe = globus globusscheduler = ldas-grid.ligo.caltech.edu/jobmanager-condor log = ldm_test_condor.log output = ldm_test_condor.out error = ldm_test_condor.err should_transfer_files = YES when_to_transfer_output = ON_EXIT transfer_input_files = ldm_test_cit_multilist.txt, ldm_test_cit_filelist1.txt, ldm_test_cit_filelist2.txt, /home/jcao/rmon/opt arguments = -inlists ldm_test_cit_multilist.txt -opt opt environment = LD_LIBRARY_PATH=/dso-test/jcao/dol/lib executable = /home/jcao/rmon/rmon Queue Users are interfaced with a LIGO friendly language. Users do not bother with technical details of LSC data grid services. Data are located and file lists are generated automatically
13 Open Science Grid (OSG) Grid of Grids 20 thousand CPUs Petabytes of data storage High energy physics Bioinformatics Nanotechnology
14 Cyberinfrastructure Vision Providing high-end services HPC, video conferencing, visualization, digital libraries, collaboration, Infrastructuralizing high-end resources supercomputers, data archives, telescopes, observatories, More technical challenges: security, interaction, cross-vo, data transfer, fault tolerance, QoS Cyberinfrastructure NSF s vision of 21 st century s infrastructure Internet Power grids Telecommunication Transportation
15 Technical Challenges Open vs. dedicated resources Applications are various Scientific applications are always evolving Cross-domain resource management and scheduling Cross-VO security (authentication and authorization) and trust management Dynamic VO construction Data availability Hybrid resource management QoS using virtual machines Too many to be exhausted
16 Summary LIGO already heavily relies on a large-scale computing infrastructure Cyberinfrastructure implementation is still facing major technical challenges References:
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