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This is the Toolkit for Asynchronous Optimization (TAO). TAO is a set of optimization techniques for use on volunteer computing systems (and is used by the MilkyWay@Home project), as well as high performance computing systems, as well as single process/thread systems. It also provides database functionality for storing the progress of long running searches, and for checkpointing. When the information about optimization searches is stored in the database, it can also be viewed via a web interface (see the php directory). TAO is used by multiple projects, which are also hosted on GitHub, and they provide good examples for using this software toolkit: Optimization for Breast Tomography - https://github.com/travisdesell/tomography Optimization for Hidden Markov Chain Clustering of Cancer Patients - https://github.com/travisdesell/hmmc_clustering MilkyWay@Home's server code (which provdes an example of using this on a volunteer computing system) - https://github.com/Milkyway-at-home/milkyway_server There is also some simple example code for using TAO with and without a database: https://github.com/travisdesell/tao/blob/master/examples/standard_benchmarks.cxx https://github.com/travisdesell/tao/blob/master/examples/standard_benchmarks_db.cxx TAO also requires the UNDVC_COMMON code repository (which needs to be checked out and built within the same directory as TAO's parent directory), you can get it here: https://github.com/travisdesell/undvc_common (check out the bootstrap submodule -- only needed if you're using the php webpages) cd ../../php/bootstrap git submodule init git submodule update git checkout master mkdir build cd build cmake .. make Requirements: undvc_common (make in a similar fashion) JSON 11 ( https://github.com/dropbox/json11 ) TODO: * clean up constructors (use set methods) * more detailed comments & documentation BUGS: * none currently known