Welcome to pyDive’s documentation!

Contents:

• Getting started
  • Quickstart
  • Setup an IPython.parallel cluster configuration
  • Run tests
  • Overview
• Tutorials
  • Example 1: Total field energy
  • Example 2: Particle density field
  • Example 3: Particle energy spectrum
• Reference
  • Arrays
    • pyDive.arrays.ndarray module
      • pyDive.ndarray class
      • Factory functions
      • Universal functions
    • pyDive.arrays.h5_ndarray module
    • pyDive.arrays.ad_ndarray module
    • pyDive.arrays.gpu_ndarray module
    • pyDive.cloned_ndarray package
      • Submodules
      • pyDive.cloned_ndarray.cloned_ndarray module
      • pyDive.cloned_ndarray.factories module
  • Modules
    • pyDive.arrayOfStructs module
    • pyDive.algorithm module
    • pyDive.fragment module
    • pyDive.mappings module
    • pyDive.picongpu module
    • pyDive.pyDive module

Indices and tables

• Index
• Module Index
• Search Page

engine

The cluster nodes of IPython.parallel are called engines. Sometimes they are also called targets. They are the workers of pyDive performing all the computation and file i/o and they hold the actual array-memory. From the user perspective you don’t to deal with them directly.