Using IPython for parallel computing

• Overview and getting started
  • Introduction
  • Architecture overview
  • Getting Started

• Starting the IPython controller and engines
  • General considerations
  • Using ipcluster
  • Using the ipcontroller and ipengine commands

• IPython’s multiengine interface
  • Starting the IPython controller and engines
  • Creating a MultiEngineClient instance
  • Quick and easy parallelism
  • Running Python commands
  • Moving Python objects around
  • Other things to look at

• The IPython task interface
  • Starting the IPython controller and engines
  • Creating a TaskClient instance
  • Quick and easy parallelism
  • More details

• Using MPI with IPython
  • Additional installation requirements
  • Starting the engines with MPI enabled
  • Actually using MPI

• Security details of IPython
  • Processs and network topology
  • Application logic
  • Secure network connections
  • Specific security vulnerabilities
  • Other security measures
  • Summary
  • Other questions

• IPython/Vision Beam Pattern Demo
  • Installing and testing IPython at OSC systems
  • Michel’s original instructions
  • Fernando’s notes
  • Using PBS
  • Links to other resources