Architecture Session Discussion Marseilles September 1999 - PowerPoint PPT Presentation

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Architecture Session Discussion Marseilles September 1999

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Title: Architecture Session Discussion Marseilles September 1999


1
Architecture SessionDiscussionMarseillesSeptemb
er 1999
  • John Harvey
  • CERN / LHCb

2
Technical Forum
  • Continue to promote discussion between interested
    parties
  • Continue to learn from others experience -
    successes and failures
  • Document this experience and make information
    widely available
  • Promote the notion that every software production
    unit should appoint an architect
  • All architects would be encouraged to participate
    in this forum

3
Architectural Guidelines
  • Establish a set of guidelines for architects to
    followexamples could be
  • components should be orthogonal to each other
    i.e. use of a particular histogramming component
    should not imply use of a particular
    visualisation component
  • underlying model for interfaces
  • suggestions on packaging i.e. physical design
  • document architectural design patterns that
    experiments are using
  • Important to agree to adhere to these guidelines
    to avoid problems that can be anticipated in
    advance

4
OO Design Patterns
  • Document OO design patterns that have been used
    for building typical HEP algorithms e.g. track
    finding
  • Pull out experience from existing experiments
    such as BaBar, CDF, D0
  • Document those patterns that did not work as well
  • Information needs to be well distilled
  • Spawn another technical forum?
  • Theme for a parallel session at CHEP?

5
Java
  • Create a study group to assess the impact of Java
  • consolidate on experience we have gained so far
    e.g. JAS, WIRED...
  • assess suitability through realistic prototypes
    e.g. track reconstruction
  • study problems of mixing with other languages
  • study interfacing with other frameworks like
    GEANT4
  • if outcome of studies positive, plan for HEP-wide
    Java library

6
I) Framework
  • Worries
  • - seems to be too intricate
  • - modularity is often not evident
  • - serious issue is that modifications to code
    are difficult
  • to make if they were not foreseen from the
    beginning
  • Q1 What helps to give an architecture and a
    framework an understandable and easy to use
    interface?
  • Q2 Why do people find making changes difficult?

7
2) Performance
  • Worries
  • - performance is a fundamental requirement for
    our data processing needs and the OO approach
    results in overheads which impairs performance
  • Q1 Does an architecture force compromises to
    performance?
  • Q2 Is there a trade-off between quality and
    maintainability on the one
  • hand and performance on the other and if so
    what performance penalty
  • is acceptable?
  • Q3 Are there real examples which demonstrate
    penalties (or benefits)
  • to performance?

8
3) Migration
  • Worries
  • - a change to OO does not allow an adiabatic
    change from existing software
  • - all existing investment in FORTRAN code is
    lost
  • - the best programming method should be used to
    execute a given task
  • (e.g. languages close to mathematical
    reasoning for certain algorithms)
  • Q1 How can an architecture/framework help in the
    migration to OO?
  • Q2 Are there examples where this has been
    managed successfully?

9
4) Language
  • Worries
  • - C is heavy to use and leads to nasty
    problems which are difficult
  • to debug (e.g. memory leaks)
  • - several years experience are needed and
    initial developments have to be
  • redone from scratch
  • - the complexity of C is not needed and a
    mature C code is often
  • difficult to understand
  • Q1 Do these problems stem from an absence of
    architecture/framework?
  • Q2 Is C an appropriate language, or is it a
    system programmer's language?
  • Q3 Are we doing enough to investigate the use of
    other languages
  • such as Java?

10
5) Participation
  • Worries
  • - many skills and too much time is spent on
    solving mundane problems
  • such as those related to language, memory
    management, library management
  • - only a restricted number of people can
    participate effectively
  • Q1 Can an architecture help to identify areas
    where physicists contribute?
  • Q2 What skills does an algorithm developer need
    to have to contribute
  • effectively?

11
6) Collaboration
  • Worries
  • - reuse does not seem to work in practice
  • Q1 How can an architectural vision help us to be
    more efficient in the
  • production of code?
  • Q2 Should we be trying to agree on integration
    standards and are we doing
  • enough to develop standard HEP libraries that
    we can all share?
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