examples/Parallel Computing/Parallel Decorator and map.ipynb

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   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Load balanced map and parallel function decorator"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "from __future__ import print_function\n",
      "from IPython.parallel import Client"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rc = Client()\n",
      "v = rc.load_balanced_view()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "result = v.map(lambda x: 2*x, range(10))\n",
      "print(\"Simple, default map: \", list(result))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Simple, default map:  [0, 2, 4, 6, 8, 10, 12, 14, 16, 18]\n"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ar = v.map_async(lambda x: 2*x, range(10))\n",
      "print(\"Submitted tasks, got ids: \", ar.msg_ids)\n",
      "result = ar.get()\n",
      "print(\"Using a mapper: \", result)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Submitted tasks, got ids:  ['b4d86123-967a-4f21-b9c5-8a77a69a3ced', '97401998-891d-4729-8288-ae1b97c28235', '1586cf7e-32c7-4864-bd0e-6aab16e07a3f', 'f6770223-59c3-4344-a69a-5d555d1dfb7f', '0ebb71da-6e16-44ac-917a-be978fd3787d', '582443c5-937e-45b0-9f13-5607c53cba60', '8d453d87-d70d-4fbd-a2c4-994ab3a8b6c7', '0a680757-1a59-4826-969c-523a45f3d76f', '63a3e983-a205-4f07-b494-ec86b2cdd004', '79b34cbb-aa93-4d11-8746-28969dbdd3ec']\n",
        "Using a mapper:  [0, 2, 4, 6, 8, 10, 12, 14, 16, 18]\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@v.parallel(block=True)\n",
      "def f(x): return 2*x\n",
      "\n",
      "result = f.map(range(10))\n",
      "print(\"Using a parallel function: \", result)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Using a parallel function:  [0, 2, 4, 6, 8, 10, 12, 14, 16, 18]\n"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
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