{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6-element Array{Int64,1}:\n",
       " 18\n",
       " 19\n",
       " 20\n",
       " 21\n",
       " 22\n",
       " 23"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "addprocs(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  2.016586 seconds (472 allocations: 69.656 KiB)\n",
      "  4.040289 seconds (10.48 k allocations: 614.708 KiB)\n"
     ]
    }
   ],
   "source": [
    "# define a slow function\n",
    "@everywhere slow(n) = (sleep(n); sum(rand(n)))\n",
    "\n",
    "# should take ~2 seconds \n",
    "@time pmap(slow, [2,2,2,2]);\n",
    "\n",
    "# define a new function that run pmaps on the slow function\n",
    "@everywhere pp(n) = (sleep(n); pmap(slow, [n for _ in 1:n]))\n",
    "\n",
    "# single invocation: 2 + 2 => 4\n",
    "@time pp(2);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  5.746599 seconds (1.53 k allocations: 98.156 KiB)\n",
      "  4.011430 seconds (2.15 k allocations: 298.641 KiB)\n",
      "  4.011655 seconds (2.15 k allocations: 287.922 KiB)\n",
      "  4.012401 seconds (2.14 k allocations: 169.906 KiB)\n",
      "  4.010906 seconds (2.14 k allocations: 152.672 KiB)\n",
      "  4.011669 seconds (2.15 k allocations: 163.359 KiB)\n",
      "  4.012294 seconds (2.15 k allocations: 292.188 KiB)\n",
      "  4.075743 seconds (2.15 k allocations: 159.281 KiB)\n",
      "  4.011138 seconds (2.15 k allocations: 153.328 KiB)\n",
      "  4.010753 seconds (2.14 k allocations: 148.438 KiB)\n"
     ]
    }
   ],
   "source": [
    "# if the nested pmap works properly then it should take ~4 seconds\n",
    "# if the nested pmap works serially then it should take ~6 seconds\n",
    "for i in 1:10\n",
    "    @time pmap(pp, [2,2]);\n",
    "end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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