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AASPI Software Computational Environment Tim Kwiatkowski

AASPI Software Computational Environment Tim Kwiatkowski. Welcome Consortium Members November 10, 2009. Overview. Hardware Clusters Multiprocessor / Multi-core Software Computational Environment Compilers Libraries Graphics Software Design Directory Layout The Future.

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AASPI Software Computational Environment Tim Kwiatkowski

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  1. AASPI Software Computational Environment Tim Kwiatkowski Welcome Consortium Members November 10, 2009

  2. Overview • Hardware • Clusters • Multiprocessor / Multi-core • Software • Computational Environment • Compilers • Libraries • Graphics • Software Design • Directory Layout • The Future

  3. Hardware Clusters The AASPI Software was originally designed to run on U**X/Linux clusters using MPI (Message Passing Interface). Large Granularity No need for expensive interconnects. Gigabit Ethernet is sufficient. Depending on the size of the cluster, can be difficult to administer.

  4. Hardware Multiprocessor / Multi-core • Newer multi-core processors have • become available • Currently no explicit multi-threading. • MPI using “Loopback” Communication • Simpler to administer • Can be grown into a cluster

  5. Hardware Our Current Resources • Older Resources • diamond - Sun Enterprise 450, • 2ea. Sun Blade 2000 • fluorite- Dual CPU 2.4GHz Xeon 5.2 TB storage (offline) • Newer Resources • Opal – Dual Quad-core 3.0GHz Xeon 16 GB, 15 TB storage • Ruby – Quad Quad-core 1.6 GHz Xeon 32 GB, 1 TB storage • Corundum – Dual Quad-core 2.33GHz Xeon 32 GB, 10 TB -file server • Jade – Dual Quad-core 2.8 GHz Xeon 48 GB, 5 TB storage • 22 Windows XP 64bit PC/Workstations.

  6. Hardware Our Current Resources – Cluster Resources • Muntu • 1 management node, 1 head node, 16 compute nodes. • Each node: 3.06 GHz Dual processor , 4GB RAM. • Total disk storage: ~2TB • OSCER(Oklahoma Supercomputing Center for Education & Research) • As a whole: 531 User Accessible Nodes, 120TB Fast scratch storage, 34450 GFlop peak, 28030 GFlop sustained. • Our own dedicated OSCER nodes / storage • Dual Quad core (3 ea. 2.33 GHz, 3ea. 2.66 GHz) 16GB RAM • Storage node - Dual Quad core 2.33GHz, 16GB RAM, 18TB disk storage. • www.oscer.ou.edu

  7. Hardware Recommendations What type of hardware do I need to run the AASPI software? The short answer: It depends. Entry level suggestion: Dual or Quad Quad-core 2.5GHz+ 2GB /core >2 TB disk capacity

  8. Software Environment − OS • Operating System • As shipped, we have chosen to pre-compile the AASPI software. This should work on most Redhat 4 Release 4 and higher installations. • Some needed packages • blas, lapack, libf2c, bzip2-libs,zlib, X11 packages for running the GUI, Mesa-libGL, Mesa-libGLU

  9. Software Environment − 64 vs. 32 bit • SEPLib is compiled as 32-bit code. So, all of the AASPI computational code, is compiled as 32bit. • The AASPI GUI code is currently compiled as a 64 bit executable. This is not necessary, but this is what is included in our release. • We would like to support both architectures with a preference for 64bit.

  10. Software Environment − Compilers We have chosen to pre-compile the AASPI software to make your life easier. However, IF you are compiling on your own… Required:A good Fortran90 compiler such as the Portland Group Fortran compiler or the Intel Fortran 90/95 compiler. We use the Intel Fortran compiler. Required:A good C/C++ compiler. GCC is fine. Required:Patience! Most of the compiling issues come from the 3rd party packages!

  11. Software Environment − Libraries • The software depends on several external libraries: • Seismic Unix (Center for Wave Phenomena - Colorado School of Mines) • SEPlib (Stanford Exploration Project) • OpenMPI (We have used MPICH in the past) • FFTW (mostly Version 2 at the present time migrating to version 3) • Lapack & BLAS (The Intel Math Kernel Library could be used as a substitute) • The FOX Toolkit (GUI interface and seismic data display)

  12. Software Environment − Graphics • Now we have a GUI interface. • It’s X-Windows based. • How do we use it? • Some Solutions • Use a desktop Linux workstation. • Use a Mac • ThinAnywhere • VNC • Hummingbird Exceed • Xming • Cygwin

  13. Software Design Practices/Goals • Use modern programming languages • Fortran 90/95 • C/C++ • Modular Design • Maximize code re-use • Use Fortran 90/95 modules/interfaces • Use C++ classes/template programming • Libraries • Organize processes/functions into logical, reusable libraries

  14. Software Layout Precompiled binaries Non-AASPI package compiled libraries Non-AASPI RPMS Non-AASPI packages - source AASPI include files (along with others) AASPI libraries & other shared libraries AASPI man pages AASPI source code Scripts – program wrappers and utilities

  15. The Future Replacing SEPlib – You’ve heard this before. We were planning to move to Madagascar (RSF).SEPlib continues to limit our flexibility. For the meantime, we will continue to use the SEP tools (especially visualization). Initial plans will modify the SEG-Y import/export and internal file access. We still plan to support the SEP (RSF) format, but use our own core libraries MS Windows? – Perhaps… All of our core code should be multiplatform. MPI is available on Windows platforms via cluster services. The main issues are with our dependencies: Seismic UNIX and SEPlib.

  16. Future Computing GPU Research We are experimenting with the newest generation of equipment – GPUs (Graphics Processing Units) Currently, we are working with CUDA (Compute Unified Device Architecture from nVidia). The software development target for GPU processing will be the desktop PC most likely as plug-ins for Petrel. Certain codes may lend themselves more naturally to GPU processing than others.

  17. Special Thanks For the last year, Ha has been responsible for most of the code packaging and releases as well as the GUI development. Ha T. Mai

  18. AASPI Software Computational Environment Tim Kwiatkowski Thank You! Questions?

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