Scientific Computing at SLAC. Amber Boehnlein
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1 Scientific Computing at SLAC Amber Boehnlein
2 Amber Boehnlein Head of Scientific Computing (4/25/11) SLAC History: FNAL D0 collaboration Running experiments Department Head Simulation Department Head DOE LHC Operations SciDAC LHCC referee
3 What is Scientific Computing? It s the elements related to computation and computers that is needed to meet the SLAC scientific mission. Analysis algorithms Detectors Computing Data Management, Storage, distribution Data Cataloging Data Acquisition ADC FPGA World Analysis and Data Mining On-line Off-line Collaboration tools Accommodate diverse user communities Visitors and resident users mid-range CPU cycles Simulations Calculations Visualization 3
4 Recent SLAC Scientific Computing Highlights Excellent Performance of the Fermi Processing Pipeline Performance of the SLAC ATLAS T2 Deployment of the Long Term Data Analysis platform for BaBar Scaling Tests for LSST databases and a successful preliminary design review Deployment of 4 pb of storage for LCLS 4
5 Scientific Computing Workshop High Level of Interest 2 day kick-off workshop 100+ attended 50 talks
6 A comprehensive view of SLAC computing 6
7 Types of Computing at SLAC Business systems» Payroll, accounting, procurement and other financial systems Enterprise» General services that support the entire institution ( , web hosting, document management)» Desktops In-house special purpose applications Scientific» The application development and hardware platforms specifically targeted towards support of the Scientific Mission» 75% of the hardware at SLAC supports Particle and Particle Astrophysics 7
8 Building 50: A Busy Place Computing Division Director search in progress Developing 5 year plans» Computing as whole» Cyber-security» Scientific computing IT project office in place» Upcoming projects» Business side» Network re-architecture» Account management Safeguards for cyber-security Moving towards a risk based approach Nov. 7 Workshop 8
9 Hosting Scientific Computing Equipment CD provides the system administration and other services» As is typical in a multi-purpose lab, those costs are covered by a funding model. Improving the hosting capability in BLD 50» 3.6MW capable (current peak is 1.7 MW) Distributing power and cooling to the racks» UPS and generator-0.5mw Stanford Research Computing Center» 2.5 MW facility-125 racks» 0.5 MW for SLAC» Phase 1-FY14 9
10 Computing Systems Storage Cluster Summary Values Row Labels Sum of # Servers Sum of # Drives Lustre Storage KIPAC/Lustre/Orange LCLS/Lustre/ana LCLS/Lustre/ana NFS Storage ACD/NFS 2 23 BaBar/NFS CDMS/NFS 1 46 CTA/NFS 1 46 EPP/NFS 2 64 EXO/NFS 2 92 FGST/NFS KIPAC/NFS LCD/NFS LCLS/NFS 1 22 MarFnez/NFS 2 92 MCC/NFS NLCTA/NFS 1 9 SDC/NFS SIMES/NFS 1 46 SLAC ATLAS/NFS 2 78 SLAC BaBar/NFS SUNCAT/NFS 1 12 Theory/NFS 2 19 University ATLAS/NFS University BaBar/NFS 4 38 Xrootd Storage ATLAS/Xrootd BaBar/Xrootd FGST/Xrootd Grand Total Row Labels Sum of # Servers Compute/Private 1014 ATLAS/Private/Batch 8 BaBar/Private/Batch 255 FEL/Batch 80 KIPAC/Batch/Coma 21 KIPAC/Batch/Orange 96 Klystron/Batch 22 LCLS/Batch 60 SDC/Batch 40 SIMES/Batch 69 SUNCAT/Batch 260 SuperB/Batch 103 Compute/Unmanaged 155 MarFnez/Fire 155 Grand Total
11 Growing Scientific Computing at SLAC Scientific Computing should sustain the full scope of SLAC scientific objectives Developing 5 year strategic plan for Scientific Computing for SLAC to ensure success Focus on areas» Where leadership in computing will advance the state of the science» Where SLAC has skills and heritage» That foster collaboration with Stanford Campus and other labs/ universities» That develop common tools and infrastructure» That gain efficiencies/reduce complexity 11
12 Strategic Planning Governance model Scientific Computing Steering Committee» SLAC wide representation collaborating with the Head of Scientific Computing, making connections across the Lab to meet broader mission objectives and priorities Work with the SCSC and SLAC management to set a vision for 2017» With the vision in mind, develop milestones and projects required to achieve vision.» Cost, schedule, budget» Extend funding model Support elements go beyond Scientific Computing» Work with CD and other service providers. Preliminary feedback has been positive 12
13 Scientific Computing Applications Department SCA in Particle Physics and Astrophysics Directorate consolidates application development expertise:» Broad input and representation from project computing coordinators» Common efforts: small experiments and community tools» Innovation for future programs (DES, LSST, Computational Cosmology Initiative)» Looking for input and collaborators! Portfolio» General Community Software Projects that benefit the global HEP community and beyond» Core development of applications that support multiple experiments.» Provisioning for the hardware needs to support the HEP community working at SLAC Scientific Computing: 13 SLUO
14 Strategic Elements Existing and future community software tools» G4, xrootd, SPIRES, LCSim, Blackhat, ACE3P,» Usually involve several laboratories engaged in development and user support» Can be proposal based Core development of Framework and Data Management» Pipeline processing, data monitoring, visualization, collaborative tools etc, being applied to LSST, SCDMS, EXO, Fermi, CTA» Existing experiments benefit from managed migration of software expertise, which remains available at the laboratory» Can work towards community based toolkits on the Open Science model Scientific Computing: 14 SLUO
15 Vision for 2017: Highlights Data management:» LSST data center» Center for cosmological simulation data» A national facility for the repository for light source experimental data and associated simulations Simulation:» Large scale theoretical simulations in computational cosmology, materials, catalysis,» End to end simulation for light source experiments in production use. Computing hardware systems:» Cost effective computing hardware facilities: appropriate mix of dedicated resources, local "cloud" and outsourcing 15
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