A simple test file to test the performance of vector function execution in any infrastructure

Vector+Test.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "This file is going to do a vector multiplication using np.dot and normal for loop based multiplication to test the performance of the underlaying CPU/GPU to execute parallel commands.\n",
    "\n",
    "Importing required libaries first"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import time\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating the vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = np.random.rand(1000000)\n",
    "b = np.random.rand(1000000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First the for loop version of vector multiplication"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "250016.716733\n",
      "For Loop 453.6769390106201 ms\n"
     ]
    }
   ],
   "source": [
    "t1 = time.time()\n",
    "dot = 0\n",
    "for i in range(1000000):\n",
    "    dot += a[i]*b[i]\n",
    "t2 = time.time()\n",
    "print(dot)\n",
    "print(\"For Loop \" + str(1000* (t2-t1)) + \" ms\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now the vectorized version via np.dot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "250016.716733\n",
      "Vectorized version 2.1622180938720703 ms\n"
     ]
    }
   ],
   "source": [
    "t1 = time.time()\n",
    "dot = np.dot(a,b)\n",
    "t2 = time.time()\n",
    "print(dot)\n",
    "print(\"Vectorized version \" + str(1000* (t2-t1)) + \" ms\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.6",
   "language": "python",
   "name": "python36"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}