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Performance of CMAQ on a Mac OS X System

Performance of CMAQ on a Mac OS X System. Tracey Holloway, John Bachan, Scott Spak Center for Sustainability and the Global Environment University of Wisconsin-Madison A presentation to the 3rd annual CMAS Models-3 conference October 19, 2004. Thinking different. Motivation Methods

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Performance of CMAQ on a Mac OS X System

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  1. Performance of CMAQon a Mac OS X System Tracey Holloway, John Bachan, Scott Spak Center for Sustainability and the Global Environment University of Wisconsin-Madison A presentation to the 3rd annual CMAS Models-3 conference October 19, 2004

  2. Thinking different. • Motivation • Methods • Performance • Hardware • Release • Ongoing Improvements

  3. Motivations. • Simplified operation • Easier development • Easy clustering • Improved performance

  4. Motivation: Operation. • Single platform for all research and academic computing • User-friendly interface • UNIX OS • Open source software, hardware support • Today’s cluster node = tomorrow’s desktop

  5. Motivation: Development. • Better Developer Tools • Xcode • (Interface Builder) • CHUD performance & debugging suite • Distribution Tools • standardized profiles • PackageMaker • FAT binaries • automated installation

  6. Operation & Development.

  7. Motivation: Performance. • Unique Hardware Advantages • powerful PPC 970 vector chip • auto-vectorizing compilers • 2000 NASA Langley report • Populist Parallelization • mix dedicated cluster nodes with free cycles on personal & lab machines • off-the-shelf solutions • simple GUI and command-line tools

  8. Methods. • IBM XL Fortan v8.1 compiler • auto-vectorization • equivalent to AIX • Modifications • flag conversion • build settings • array passing • > 400 man-hours

  9. Performance. • 2 Test Machines • dual 2 GHz G5, 5 GB RAM, 1 GHz bus • stock dual 1 GHz G4, 1.5 GB RAM, 133 MHz bus • Mac OS X 10.3.5 • 1 Test Run • First day of CMAQ 4.3 tutorial • 1 day, 32 km x 32 km, 38 x 38, 6 layers • default EBI CB4 chemistry

  10. Benchmarks. Tutorial Runtime by Hardware and Compiler (seconds) seconds IFC = Intel Fortan Compiler 7.1 PGF = Portland Group Compiler 4.0-2 Intel machines running CMAQ 4.22 on 2 processors with mpich parallelization. Source: Gail Tonnesen, “Benchmarks for CPUs and Compilers for the CMAQ 4.2.2 release.” Macs running CMAQ 4.3 on 1 processor (XLF) or 2 processors (XLF SMP) with OpenMP parallelization

  11. Chemistry. Source: ACONC.nc output from Day 1 of CMAQ 4.3 tutorial Dual 2 GHz G5 running CMAQ 4.3 on 1 processor

  12. Good Chemistry. • Small difference from reference set • greater than difference among Intel machines and compilers • Noise, floating point calculations, initialization • greatest at surface level, early in run • ambient concentrations only • random distribution • no bias • does not propagate in time or space • not correlated to high or low concentrations • Consistent • G4/G5 • chemistry modules • compiler flags

  13. Better Chemistry. Tutorial Runtime by Chemistry Module (seconds) Dual 2 GHz G5 running CMAQ 4.3 on 1 processor

  14. Models-3 on Mac, 10/04. Core Platform • MM5 (Fovell) • MCIP v2.2 • Smoke v2.1 • CMAQ v4.3 • Libraries & Add-Ons • netCDF v3.5.1 • mpich v1.2.2-6 • I/O API v2.2 • MCPL Currently no PAVE, but Vis5d, VisAd, GrADS, NCL, and

  15. Hardware.

  16. Hardware. 18 G5 processors • Dedicated Cluster • XServe G5 Dual 2 GHz, 2 GB RAM • Xserve RAID 3.5 TB • 8 Power Mac G5 Dual 2GHz, 5 GB RAM • Distributed Capacity • student lab eMacs • personal G4 desktops 42 G4 processors 60 processor vector cluster 0 Full-time Sys-admins

  17. Cost Competitive. Apple • Xserve Dual G5 2GHz < $3500 • RAID storage at $3 per GB • G5 Desktop $2000 - 4000 Compare to • Dell PowerVault RAID at $5 per GB • Dell Precision dual Xeon 2.8 GHz, $1200 - 4200 • Sysadmin costs

  18. JOHN SCOTT

  19. Release. • Following input from the CMAS Center • alpha code to CMAS by November, 2004 • CMAS testing • potential support • Following CMAS Testing, preliminary code, scripts, binaries, instructions • available for download at www.sage.wisc.edu/cmaq • Scott Spak will answer questions for early users: snspak@wisc.edu

  20. Our planned activities g95 - GNU compilation parallel implementations Condor Xgrid Pooch/Appleseed further optimization Dual 2.5 GHz benchmarks CMAQ MADRID A community effort? CMAQ Unified MIMS PAVE Ongoing improvements.

  21. Acknowledgements. • Mary Sternitzky, UW • Seth Price, UW • Hans Vahlenkamp and NOAA GFDL • Zac Adelman and the CMAS Help Desk • Dr. Gail Tonnesen and Glen Kaukola, UCR • Models-3 Listserv All funding provided by the University of Wisconsin-Madison.

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