docs/examples/parallel/taskmap.ipynb

{
 "metadata": {
  "name": "taskmap"
 }, 
 "nbformat": 2, 
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown", 
     "source": [
      "# Load balanced map and parallel function decorator"
     ]
    }, 
    {
     "cell_type": "code", 
     "collapsed": true, 
     "input": [
      "from IPython.parallel import Client"
     ], 
     "language": "python", 
     "outputs": [], 
     "prompt_number": 1
    }, 
    {
     "cell_type": "code", 
     "collapsed": false, 
     "input": [
      "rc = Client()", 
      "v = rc.load_balanced_view()"
     ], 
     "language": "python", 
     "outputs": [], 
     "prompt_number": 3
    }, 
    {
     "cell_type": "code", 
     "collapsed": false, 
     "input": [
      "result = v.map(lambda x: 2*x, range(10))", 
      "print \"Simple, default map: \", list(result)"
     ], 
     "language": "python", 
     "outputs": [
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": [
        "Simple, default map:  "
       ]
      }, 
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": [
        "[0, 2, 4, 6, 8, 10, 12, 14, 16, 18]"
       ]
      }
     ], 
     "prompt_number": 4
    }, 
    {
     "cell_type": "code", 
     "collapsed": false, 
     "input": [
      "ar = v.map_async(lambda x: 2*x, range(10))", 
      "print \"Submitted tasks, got ids: \", ar.msg_ids", 
      "result = ar.get()", 
      "print \"Using a mapper: \", result"
     ], 
     "language": "python", 
     "outputs": [
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": [
        "Submitted tasks, got ids:  ['5100a4c7-73a4-4832-aa91-e774f6f3ede8', 'd0cae1cf-2b32-4092-9eb7-f17b43fb3849', 'e08d3ee2-f221-47fe-9556-ed938e692030', '065585e4-cdf9-4240-a5fe-e44b2ae5d023', 'd2162f23-68e5-4318-ba1e-e34fd03a72ac', '5b3b835f-2099-4a70-9896-d1aa810c77e6', 'e2c2a823-bd44-4f91-8db3-c154d0d86e56', '991e0c25-f98a-44b5-9d9e-889d4180b9a5', '4ad41221-28bd-482f-a300-97c404648161', '5b730eb3-e0bb-4cdd-b228-c3b8d158828a']", 
        "Using a mapper:  [0, 2, 4, 6, 8, 10, 12, 14, 16, 18]"
       ]
      }
     ], 
     "prompt_number": 5
    }, 
    {
     "cell_type": "code", 
     "collapsed": false, 
     "input": [
      "@v.parallel(block=True)", 
      "def f(x): return 2*x", 
      "", 
      "result = f.map(range(10))", 
      "print \"Using a parallel function: \", result"
     ], 
     "language": "python", 
     "outputs": [
      {
       "output_type": "stream", 
       "stream": "stdout", 
       "text": [
        "Using a parallel function:  [0, 2, 4, 6, 8, 10, 12, 14, 16, 18]"
       ]
      }
     ], 
     "prompt_number": 6
    }
   ]
  }
 ]
}