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LHCb Computing (DAQ, ECS, Software) R&D and Milestones

Detailed overview of the LHCb Computing R&D meeting held on July 8th, 1998, focusing on DAQ, ECS, software goals, and milestones achieved. Discussion includes developments, activities, projects, and plans related to architecture, technology, prototypes, controls, data analysis, and computing models.

samuelbdavis
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LHCb Computing (DAQ, ECS, Software) R&D and Milestones

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  1. LHCb Computing(DAQ, ECS, Software)R&D and Milestones Meeting with LHCb Referees July 8th, 1998

  2. Overall Schedule for DAQ and ECS

  3. Goals of R&D Phase • Devise an architecture for the DAQ system and a specification for all dataflow and control elements • Acquire knowledge of, and experience with, new technologies • Assemble small scale hardware prototype of DAQ system (‘String Test’) running at full speed • Finally take an educated decision on the technologies to use for the implementation of the final system

  4. DAQ Activities • Architecture and protocol design • Readout Unit Implementation Study Study functionality, interfacing Design and prototype, performance • Event Building Project Devise strategy L1,L2/3 Study technologies e.g. Myrinet Simulation models, demonstrators • Timing and Fast Control Readout Supervisor • FEM Implementation Study • Event Filter Farm Study (LCB Project) • Study capabilities of Mass storage (ALICE/IT)

  5. Experiment Control System (ECS) Joint Project to devise a common controls kernel for all LHC experiments and all aspects of control Selected Sub-Projects …. • Joint URD for Alice/LHCb (finished) • Hardware interface URD (need SD input) • Architecture design (ongoing) • Technology survey (finished) • CANbus evaluation (ongoing) • OPC evaluation (starting after summer) • …

  6. Schedule for DAQ/ECS

  7. Where are we gOOing? June 1998 June 2000 OO Frameworks SICB OO toolkits FORTRAN Toolkits OO event + geometry models ZEBRA banks ZEBRA and ASCII files OO database (Objectivity/DB)

  8. Schedule for Computing

  9. Plans for SICB • SICB will be discarded when new software with same or superior functionality will be available • Current planning: July 2000 • Until then: Production simulation will continue with SICB • Store event generator record to be available for analysis • Interface to other event generators • Studies of alternative detector layout options • Enhanced detector response simulation

  10. Working Prototype • By end 1999, produce a new working prototype of LHCb software incorporating: • model of the LHCb detector geometry (-> technical forum) • database containing ~ 1,000,000 simulated events (~100 GB) • framework for processing events (Components, integration technology) • detector response simulation toolkit (GEANT4) • pattern recognition algorithms for tracking, RICH,.. • toolkit of analysis algorithms • Compare toolkits for interactive data analysis (PAW, ROOT, LHC++..)

  11. Event Model and Analysis Framework • Goals - short term: • Provide access to SICB data from C++ (SICB++)(mid-July) • Collect requirements for transient event object model (summer) • Writing processed data back to ZEBRA files is NOT a priority Analysis application Exists using SICB event loop Event loop LHCb OO transient event Interface Start with Event header class SICB C++ classes Iain Last package Exists, two weeks to make sure it works correctly Zebra file

  12. Software Development • Documentation templates for user requirements, project plans, costings.. • Choose a method and tool for designing LHCb software • Evaluate PC platforms (NT, Linux) • Support for coding and testing (compilers, debuggers) • Develop code management and software release scheme • Develop automatic code documentation scheme • Work with LHC SDE project (led by IT/ IPT group) • Need to develop a “core” of experienced OO programmers • First SDE definition by September ‘98 • Need a mature process and SDE by end ‘99

  13. Computing Model • Compute facilities - PC farms running NT or Linux • Marseilles, Liverpool, Rio, with other LHC experiments and IT/PDP group • “Data Management and Computing Using Distributed Architectures” • with other LHC experiments in a proposed LCB project • outside institutes + CERN/IT (LHCb/Oxford,…) • determine which classes of models for distributed data analysis are feasible, taking into account network capabilities and data handling resources likely to become available in the collaboration sites • identify and specify the main parameters and build tools for making simulations for comparison of alternative strategies. • Make test implementations of elements of computing model

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