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167 lines
5.5 KiB
ReStructuredText
167 lines
5.5 KiB
ReStructuredText
Instructions for running TIEGCM benchmarks on Cheyenne
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======================================================
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Introduction
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------------
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These instructions are intended to be an update and augment to the standard
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`TIEGCM Benchmark instructions <https://www.hao.ucar.edu/modeling/tgcm/tiegcm2.0/userguide/html/benchmarks.html>`_
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that are bit dated and relate the yellowstone computer system. Using
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repository tag TBD will get you the updates for the scripting system for
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cheyenne.
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In order to produce the graphics you will need to install the tgcmprocf90 code
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base that utilizes NCAR graphics to produce plots. This needs to be run on
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casper with specified set of modules.
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Benchmark runs
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--------------
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The TIEGCM benchmarks fall into three categories
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#. Full year climatologies (``run_climatology``)
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#. Seasons (``run_seasons``)
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#. Storms (``run_storms``)
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for each category there is a tcsh script that creates run directories,
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complies the code, and submits the jobs at 5 and 2.5 degree resolutions. These
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scripts, located in the ``benchmarks`` subdirectory of the code distribution,
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use the tgcmrun program which is written in python 2 to create the batch
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scripts.
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Compiling and running the code on cheyenne has been tested with the following
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set of modules
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.. code-block:: bash
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Currently Loaded Modules:
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1) git/2.22.0 5) ncarcompilers/0.5.0 9) mpt/2.25
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2) ncarenv/1.3 6) mkl/2021.2 10) esmf_libs/8.3.0
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3) cmake/3.14.4 7) conda/latest 11) esmf-8.3.0-ncdfio-mpt-O
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4) intel/2021.2 8) netcdf/4.9.0
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Visualizing the results
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-----------------------
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As previously mentioned to visualize the results we are currently utilizing an
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older NCAR graphics package so the work will need to be conducted on casper
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using a specific module and conda environment. We are working on python
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utilities and will have that available shortly.
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On casper you will need to have the following set of modules loaded.
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.. code-block:: bash
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Currently Loaded Modules:
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1) ncarenv/1.2 6) conda/latest 11) esmf-8.3.0-ncdfio-mpiuni-O
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2) ffmpeg/4.1.3 7) intel/19.1.1 12) ncl/6.6.2
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3) git/2.22.0 8) ncarcompilers/0.5.0 13) nco/5.1.4
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4) netcdf/4.9.1 9) openmpi/4.1.1
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5) cmake/3.14.4 10) esmf_libs/8.3.0
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and your conda environment can be created from this YML file
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.. code-block:: yaml
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name: tgcmproc
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channels:
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- conda-forge
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- ncar
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- r
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dependencies:
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- _libgcc_mutex=0.1=conda_forge
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- _openmp_mutex=4.5=2_gnu
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- backports=1.0=pyhd8ed1ab_3
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- backports.functools_lru_cache=1.6.1=py_0
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- backports_abc=0.5=py_1
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- bzip2=1.0.8=h7f98852_4
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- c-ares=1.19.1=hd590300_0
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- ca-certificates=2023.5.7=hbcca054_0
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- certifi=2019.11.28=py27h8c360ce_1
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- cftime=1.1.1=py27h588f082_0
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- curl=7.87.0=h6312ad2_0
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- cycler=0.10.0=py_2
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- dbus=1.13.6=hfdff14a_1
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- enum34=1.1.10=py27h8c360ce_1
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- expat=2.5.0=hcb278e6_1
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- fontconfig=2.14.2=h14ed4e7_0
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- freetype=2.12.1=hca18f0e_1
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- functools32=3.2.3.2=py_3
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- futures=3.3.0=py27h8c360ce_1
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- gettext=0.21.1=h27087fc_0
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- glib=2.66.3=h58526e2_0
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- gst-plugins-base=1.14.5=h0935bb2_2
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- gstreamer=1.14.5=h36ae1b5_2
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- hdf4=4.2.15=h9772cbc_5
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- hdf5=1.10.5=nompi_h7c3c948_1111
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- icu=64.2=he1b5a44_1
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- jpeg=9e=h0b41bf4_3
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- keyutils=1.6.1=h166bdaf_0
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- kiwisolver=1.1.0=py27h9e3301b_1
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- krb5=1.20.1=hf9c8cef_0
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- ld_impl_linux-64=2.40=h41732ed_0
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- libblas=3.9.0=8_openblas
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- libcblas=3.9.0=8_openblas
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- libclang=9.0.1=default_hb4e5071_5
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- libcurl=7.87.0=h6312ad2_0
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- libedit=3.1.20191231=he28a2e2_2
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- libev=4.33=h516909a_1
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- libexpat=2.5.0=hcb278e6_1
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- libffi=3.2.1=he1b5a44_1007
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- libgcc-ng=12.2.0=h65d4601_19
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- libgfortran-ng=7.5.0=h14aa051_20
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- libgfortran4=7.5.0=h14aa051_20
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- libglib=2.66.3=hbe7bbb4_0
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- libgomp=12.2.0=h65d4601_19
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- libiconv=1.17=h166bdaf_0
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- liblapack=3.9.0=8_openblas
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- libllvm9=9.0.1=default_hc23dcda_7
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- libnetcdf=4.7.3=nompi_h9f9fd6a_101
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- libnghttp2=1.51.0=hdcd2b5c_0
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- libopenblas=0.3.12=pthreads_hb3c22a3_1
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- libpng=1.6.39=h753d276_0
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- libsqlite=3.42.0=h2797004_0
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- libssh2=1.10.0=haa6b8db_3
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- libstdcxx-ng=12.2.0=h46fd767_19
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- libuuid=2.38.1=h0b41bf4_0
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- libxcb=1.15=h0b41bf4_0
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- libxkbcommon=0.10.0=he1b5a44_0
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- libxml2=2.9.10=hee79883_0
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- libzlib=1.2.13=h166bdaf_4
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- matplotlib=2.2.5=ha770c72_3
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- matplotlib-base=2.2.5=py27h250f245_1
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- ncurses=6.3=h27087fc_1
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- netcdf4=1.5.3=nompi_py27hd35fb8e_102
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- nspr=4.35=h27087fc_0
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- nss=3.89=he45b914_0
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- numpy=1.16.5=py27h95a1406_0
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- openssl=1.1.1t=h0b41bf4_0
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- pcre=8.45=h9c3ff4c_0
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- pip=20.1.1=pyh9f0ad1d_0
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- pthread-stubs=0.4=h36c2ea0_1001
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- pyparsing=2.4.7=pyh9f0ad1d_0
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- pyqt=5.12.3=py27hcca6a23_1
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- python=2.7.15=h5a48372_1011_cpython
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- python-dateutil=2.8.1=py_0
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- python_abi=2.7=1_cp27mu
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- pytz=2020.1=pyh9f0ad1d_0
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- qt=5.12.5=hd8c4c69_1
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- readline=8.2=h8228510_1
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- scipy=1.2.1=py27h921218d_2
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- setuptools=44.0.0=py27_0
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- singledispatch=3.6.1=pyh44b312d_0
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- six=1.16.0=pyh6c4a22f_0
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- sqlite=3.42.0=h2c6b66d_0
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- subprocess32=3.5.4=py27h516909a_0
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- tk=8.6.12=h27826a3_0
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- tornado=5.1.1=py27h14c3975_1000
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- wheel=0.37.1=pyhd8ed1ab_0
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- xorg-libxau=1.0.11=hd590300_0
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- xorg-libxdmcp=1.1.3=h7f98852_0
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- xz=5.2.6=h166bdaf_0
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- zlib=1.2.13=h166bdaf_4
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- pip:
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- pyqt5-sip==4.19.18
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- pyqtwebengine==5.12.1
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