python-ppft-doc - 1.7.6.9+dfsg-2 main

ppft is a friendly fork of Parallel Python. It provides:
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* parallel execution of Python code on SMP and clusters
* easy-to-understand job-based parallelization
* automatic detection of the number of effective processors
* dynamic processor allocation (at runtime)
* low overhead for jobs with the same function (through transparent caching)
* dynamic load balancing (jobs are distributed at runtime)
* fault-tolerance (if a node fails, tasks are rescheduled on the others)
* auto-discovery of computational resources
* dynamic allocation of computational resources
* SHA based authentication for network connections
* enhanced serialization, using dill.source
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ppft is part of pathos, a Python framework for heterogeneous computing.
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This package contains the ppft documentation in HTML format.