Jeremy Cowles, Eric Heien, Adam Kornafeld, Yusuke Takata, Kenichi Hagihara, Nicolás Alvarez

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Overview

PyMW & Summer of Code Recent Enhancements in 0.3 PyBOINC: Distributable Python

Interpreter BOINC & PyMW at U.C. Berkeley Future plans for PyMW

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Google Summer of Code

Proposal accepted via Python Foundation

Worked with Eric Heien as project mentor

Goals: Improve BOINC integration in PyMW Reduce barriers to creating BOINC apps Remove the Python requirement on the

Client

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PyMW v0.2 Limitations

Need to compile assimilator from C source

Manual project setup via script Modules, libraries & data bundled by

BOINC application, not by work unit No direct support for BOINC API Python installation is assumed on

client

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Enhancements in v0.3

Pure-Python assimilator Abstract base class, easy to extend Leverage existing Python code

Automated project setup Validates project setup on every

execution Installs required daemons Installs/upgrades science application

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Enhancements in v0.3

Bundle arbitrary files with work units Individual Python libraries Domain-specific data

Customizable work unit generation Number of target results, output size,

etc Native Python support for BOINC API

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PyBOINC Python Interpreter

Collaboration with Nicolás Alvarez Official Python interpreter

(embedded) BOINC compatible, distributable Statically compiled for

Windows Linux Mac OS X

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PyBOINC Features

Customizable standard library Uses Python’s support for zipped

modules 2.6 bundled with current release Add or remove components as needed

3rd party libraries BOINC API module included by default

Compiled C modules & dynamic libraries

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PyMW 0.3 Workflow

Download PyMW & PyBOINC Write PyMW science application Install BOINC server & create a

project Run the application:

$ myapp.py –d ~/projects/my_proj

Does it work with real applications?

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PyMW & BOINC @ Berkeley

CS188: Introduction to Artificial IntelligencePacman AI Tournament

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Pacman AI Tournament

Large framework in Python w/data files

Student teams submit agents Matches run nightly Takes ~16 hours to run tournament

(serial)

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Using PyMW & BOINC

BOINC formulation: Wrapped tourney framework with PyMW One match per work unit

99% orthogonal to PyMW/BOINC Students can volunteer compute

time PyMW multi-core for debugging New tourney runs in about 1 hour

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Future Plans for PyMW

Security & signing scripts Support for BOINC Graphic API Python 3.0 Support Check-pointing support

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Online Resources

PyMWhttp://pymw.sourceforge.net/

PyMW Documentation http://pymw.sourceforge.net/doc/

PyBOINChttp://bitbucket.org/jeremycowles/pyboinc