Welcome to Darshan's Documentation =================================== The Darshan source tree is divided into two parts: * ``darshan-runtime``: to be installed on systems where you intend to instrument MPI applications. * ``darshan-util``: to be installed on systems where you intend to analyze log files produced by darshan-runtime. + ``darshan-util/pydarshan``: a Python package providing interfaces to Darshan log file. :ref:`Modularized I/O characterization using Darshan 3.x ` gives details on the design of the new modularized version of Darshan (3.x) and how new instrumentation modules may be developed within Darshan. Site-specific documentation for facilities that deploy Darshan in production: * Argonne Leadership Computing Facility (ALCF): `Theta `_, `Cooley `_. * National Energy Research Scientific Computing Center (`NERSC `_) * National Center for Supercomputing Applications (`NCSA `_) * Oak Ridge Leadership Computing Facility (OLCF): `darshan-runtime `_, `darshan-util `_. * King Abdullah University of Science and Technology (`KAUST `_) * European Centre for Medium-Range Weather Forecasts (`ECMWF `_) * Ohio Supercomputer Center (`OSC `_) * Julich Supercomputing Centre (`JSC `_) .. toctree:: :maxdepth: 2 :caption: Darshan Runtime :name: TOC Darshan Runtime darshan-runtime/doc/darshan-runtime .. toctree:: :maxdepth: 2 :caption: Darshan Utilities :name: TOC Darshan Utilities darshan-util/doc/darshan-util .. toctree:: :maxdepth: 2 :caption: Modularized I/O characterization :name: TOC Modularization docs/darshan-modularization.rst .. toctree:: :maxdepth: 2 :caption: PyDarshan :name: pydarshantoc darshan-util/pydarshan/docs/readme darshan-util/pydarshan/docs/install darshan-util/pydarshan/docs/usage darshan-util/pydarshan/docs/api/pydarshan/modules Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`