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S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing. Gevorg Poghosyan. Karlsruhe Institute of Technology (KIT). 18.500. Employees. 8.000. Students. 700. 300. Professors. annual budget in Million Euros. The cooperation of

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s p o r a dic changes of scientific simulation codes for high performance distributed computing

S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing

Gevorg Poghosyan

karlsruhe institute of technology kit
Karlsruhe Institute of Technology (KIT)

18.500

Employees

8.000

Students

700

300

Professors

annual budget in Million Euros

  • The cooperation of
  • Forschungszentrum Karlsruhe GmbH
  • Universität Karlsruhe (TH)
  • KIT Research Centers:
    • Energy
    • Nano & Micro Science and Technology
    • Elementary Particle and Astroparticle Physics
    • Climate and Environment

Gevorg Poghosyan – S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing

simlab elementary particle astroparticle physics
SimLab Elementary Particle & Astroparticle Physics
  • Developing software for KCETA (KIT Center Elementary Particle and Astroparticle Physics)
      • Cosmic Rays (Augger, Kascade-grande)
      • Extended and intensified search for Dark Matter (EDELWEISS)
      • Flavour Physics - Quantum Field Theory: Quark Matter Physics
      • Neutrino Physics (KATRIN)
      • Experimental and Theoretical Collider Physics (LHC)
    • Support as S.P.O.R.A.-dic changes for present and developable codes
    • Standardization – code re-engineering: object oriented, I/O data format standardization
    • Parallelization – exploitation of code to find parallelization strategies
    • Optimization – performance-analysis: infrastructure dependant
    • Release – user friendly, easy to use, publicly available libraries of code and results
    • Adaptation – to up-to-date HPC, Grid and Cloud computing EU infrastructures*
  • *PRACE –Partnership for Advanced Computing in Europe (DEISA+EGI+EGEE)

Gevorg Poghosyan – S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing

20.10.2014

cosmic rays
Cosmic Rays

Fe

  • Determine showers in Eath Atmosphere
    • mean values
    • fluctuations
    • correlations
  • Deduce properties of primary particle:
    • particle type (proton ,iron, n, ... )
    • energy
    • direction (anisotropy, point source)
  • CORSIKA COsmic Ray SImulation for KASCADE*
    • Under development since 1989
    • 700 Users (50 countries for 50 experiments)
      • AUGER South – Argentina (soon North in USA)
      • KAUGER ASCADE Grande - GermAUGER any
      • AMANDA – Antarctica

*KASCADE = KArlsruhe Shower Core and Array Detector

p

Gevorg Poghosyan – S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing

corsika code http www ik fzk de corsika
CORSIKA Code http://www-ik.fzk.de/corsika/
  • Monte Carlo Simulation for elementary processes
    • Environment: atmosphere, Earth magnetic field
    • Particle: type, energy, position, direction, time
    • Range: cross section, life time
    • Transport: ionization energy loss, deflection in Earth magnetic field
    • Interaction / decay with production of secondaries – source of systematic uncertainty:
        • high-energy hadronic interaction model ( QGSJET - Pomeron phenomenology )
        • low-energy hadronic interaction model (URQMD – Quantum Molecular Dynamics )
        • electromagnetic interaction (EGS4-electron gamma shower: Bremsstrahlung )
    • 30+ models and tools tuned at collider energies extrapolated to 1020eV
    • Secondary particle storage on stack for future shower reconstruction
  • 1016 eV  3 PC-days; 1020 eV  150 PC-years !
  • The coarse grain parallelism for running the code without re-engineering brings only 5 time speedup

Gevorg Poghosyan – S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing

eu fusion for iter application euforia workflow infrastructure
EU Fusion fOR ITER Application (EUFORIA)Workflow Infrastructure

Core Transport

Core Impurity

Edge

Core

Heating Sources

EIRENE

Edge Plasma Transport

Edge Neutral Transport

Material Surface

Gevorg Poghosyan – S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing

analyzing eirene flow chart
Analyzing EIRENE flow chart

INPUT

Mesh

(Cell Grid)

EIRENE

Subroutines

OUTPUT

Data for

numerical

workflows

(Particle

characteristics:

temperature,

momentum,

energy)

Surface

(TRIM, SPUTER)

Exploitation

type static/dynamic

OPTIMIZE

Input File

(Parameter blocks)

Data for

graphical

representation

(RAPS, VISIT, GNUPLOT)

Database

Atomic and Molecular

(HYDHEL, METHANE,

AMJUEL)

Gevorg Poghosyan – S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing

automatization of infrastructure implementations
Automatization of infrastructure implementations

Code

Autobuild

Repository

Soft./VO Manager

Community

HPC/Grid/Cloud

Community

Community

Sys.Admin. Level

Sys.Admin. Level

Local

Structure

Local

Local

Local

Gevorg Poghosyan – S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing