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Climate Modeling on the Jazz Linux Cluster at ANL

Climate Modeling on the Jazz Linux Cluster at ANL. John Taylor Mathematics and Computer Science & Environmental Research Divisions Argonne National Laboratory and Computation Institute University of Chicago. Outline. A description of the Jazz Linux cluster at Argonne National Laboratory

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Climate Modeling on the Jazz Linux Cluster at ANL

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  1. Climate Modeling on the Jazz Linux Cluster at ANL John Taylor Mathematics and Computer Science & Environmental Research Divisions Argonne National Laboratory and Computation Institute University of Chicago

  2. Outline • A description of the Jazz Linux cluster at Argonne National Laboratory • Porting and performance of climate codes on the Jazz Linux cluster • Community Climate Systems Model, CCSM 2.0.1 • Community Atmosphere Model, CAM 2.0.2 • Mesocale Meteorological Model, MM5v3.4 • Regional climate modeling studies at ANL • Long climate simulations on Jazz using MM5v3.6 • Tools for regional climate modeling ARGONNE NATIONAL LABORATORY

  3. ANL Jazz Linux Cluster • Compute - 350 nodes, each with a 2.4 GHz Pentium Xeon • Memory - 175 nodes with 2 GB of RAM, 175 nodes with 1 GB of RAM • Storage - 20 TB of clusterwide disk: 10 TB GFS and 10 TB PVFS • Network - Myrinet 2000 • Linpack benchmark - ~ 1 TFLOP

  4. Community Climate Systems Model - CCSM 2.0.1 • Download of standard release of CCSM 2.0.1 from NCAR web site • Current mpich release is compatible with multiple executables multiple data model used by CCSM • Build process needs modification e.g. to use mpif90 and mpicc wrappers • Environment variables must be included in shell • Use pgf90 compiler

  5. Community Climate Systems Model - CCSM 2.0.1 • CCSM 2.0.1 runs well on Jazz – now at 3 years per wallclock day • Load balance could be further optimized on Jazz • CCSM 2.1 will include build modifications used to run CCSM on Jazz

  6. Community Atmosphere ModelCAM 2.0.2 • Download of standard release of CAM 2.0.2 from NCAR web site • Makefile needs modification to use mpif90 and mpicc wrappers • Switch on 2-D finite volume dynamics • Assessed performance using 64,92,128,184 processors

  7. Cam 2.0.2 With 2-D Fv Dynamics ARGONNE NATIONAL LABORATORY Acknowledgement: IBM Pwr3 data from Art Mirin, LLNL

  8. Performance and Scaling • Performed the standard MM5 benchmark on the Jazz Linux cluster at ANL • Ported MM5 to Intel compilers on IA-32 and IA-64 • Added MPE calls to facilitate profiling on Jazz, TeraGrid, etc

  9. MM5 Benchmark on Jazz at ANL Source: John Michalakes, NCAR

  10. MM5 over Myrinet on Jazz

  11. MM5 over Ethernet on Jazz

  12. Regional Climate Modeling • Parallel regional climate model development and testing based on MM5v3.6 WRF • Contributing to PIRCS experiments • PIRCS 1b and currently PIRCS 1c 15 year run • Downscaling using boundary and initial conditions derived from high resolution CCM runs made at LLNL

  13. Regional Climate Modeling • Testbed for regional climate simulation laboratory – Espresso interface • Delivering regional climate data using interactive web based tools • Performance testing and porting to the NSF TeraGrid

  14. PIRCS 1-B EXPERIMENT ARGONNE NATIONAL LABORATORY • We are using Version 3 of the Penn State / NCAR MM5, with the OSU land surface model • Total precipitation results for the period June 1-July 31, 1993 are shown in the center panel • Note the agreement with both the NCEP reanalysis forcing data (left panel) and the NCDC half-degree Cressman analysis of observations (right panel). • We plan to use this experiment and the PIRCS 1a (1988 US drought) as primary test beds for further enhancements of model physics

  15. PIRCS-1c 1987 Precipitation

  16. PIRCS-1c June 1988 Temps • We are using Version 3 of the Penn State / NCAR MM5 at 52km grid resolution, with the OSU land surface model NCEP I boundary and initial condition data

  17. PIRCS-1c 1988 Precipitation

  18. PIRCS-1c 1989 Precipitation

  19. Espresso Motivation • Large modeling systems are difficult to configure and run • Running complex scientific models can require substantial computing skills • Managing the computer science reduces the time available for doing science and limits what is possible e.g. MM5 requires many jobs to be submitted to setup and perform a one year run • Current approaches are prone to error (especially where the build process is complex)

  20. Motivation (Cont.) • Contemporary software tools are not being exploited e.g. Java, XML, Globus Toolkit distributed computing, etc… • Provide secure access to remote supercomputing resources

  21. Approach • Develop a flexible graphical user interface (GUI) with low maintenance and development costs • Incorporate modern software tools in order to dramatically increase flexibility and efficiency while reducing the chance of operator error • = Espresso !

  22. Espresso Modeling Interface

  23. CO2 Sensitivity 690-345 ppmJuly 1986

  24. CO2 Sensitivity 690-345 ppmDecember 1986

  25. Interactive Data Analysis

  26. Interactive Data Analysis

  27. Conclusions…. • Key climate modeling codes, CCSM, CAM, MM5v3 are performing well on the Jazz Linux cluster • Multi-year regional climate simulations can be achieved on existing IA-32 Linux supercomputers • Future • NSF TeraGrid (IA-64) • WACCM model with Atmospheric Chemistry code • Performing downscaling using high resolution global GCM data

  28. Argonne Climate Modeling Group http://www-climate.mcs.anl.gov

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