Pi with Cuda.ipynb

untitled0.ipynb

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  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Pi with Cuda.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/Macorreag/d07cb8937884eea99919751ab56c9d7c/untitled0.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zZdlR3b2u9fY"
      },
      "source": [
        "## Instalacion de CUDA en Colaboratory\n",
        "\n",
        "Pasos para ejecutar el codigo en Colab\n",
        "\n",
        "\n",
        "1.   Habilitar GPU de Colab y Python 3\n",
        "\n",
        "\n",
        ">*   Entorno de Ejecucion->Cambiar tipo de entorno de Ejecucion **Python 3**\n",
        "\n",
        ">*   Entorno de Ejecucion->Cambiar tipo de entorno de Ejecucion -> Aceleración por hardware **GPU**\n",
        "\n",
        "\n",
        "2.   Realizar la instalación de CUDA en Colab \n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VOUV19BEulRg"
      },
      "source": [
        "!echo CUDA AND NVIDIA INSTALLATION\n",
        "!echo NOTE: THERE IS A QUESTION IN THE INSTALLATION, PLEASE DO NOT FORGET TO ANSWER IT (YOU CAN CHOOSE Y)\n",
        "!wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb;\n",
        "!dpkg -i cuda-repo-ubuntu1604_8.0.61-1_amd64.deb;\n",
        "!apt-get update -qq;\n",
        "!apt-get install cuda-8.0;\n",
        "!ln -sf /usr/local/cuda-8.0 /usr/local/cuda\n",
        "import os\n",
        "os.environ['PATH'] += ':/usr/local/cuda/bin'\n",
        "os.environ['LD_LIBRARY_PATH'] += ':/usr/local/cuda/lib'\n",
        "\n",
        "!apt-get install gcc-5 g++-5 -y -qq;\n",
        "!ln -s /usr/bin/gcc-5 /usr/local/cuda/bin/gcc;\n",
        "!ln -s /usr/bin/g++-5 /usr/local/cuda/bin/g++;\n",
        "!pip install git+git://github.com/andreinechaev/nvcc4jupyter.git\n",
        "%load_ext nvcc_plugin"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vwCwGkoGyzIi"
      },
      "source": [
        "## Montar la unidad de Google Drive para almacernar archivos\n",
        "\n",
        ">*   Ejecute la siguiente celda, de click en el enlace generado.\n",
        ">*   En la nueva pagina autorice a Colab y copie el codigo y peguelo en la celda que surgio.\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ptKICgesvkKA"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Cq0cbWGDzj-j"
      },
      "source": [
        "## Detecte el archivo que desea compilar y coloque la ruta"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "68sKvDyBzzKD"
      },
      "source": [
        "!nvcc /content/gdrive/My\\ Drive/INGENIERIA\\ DE\\ SISTEMAS\\ DOC/Decimo\\ Semestre/Paralela\\ Y\\ Distribuida/Files/CUDA/pi/piCUDA.cu -o result"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e0d1i85t26im"
      },
      "source": [
        "## Ejecute el compilado que genero"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Vol_gkxd2-jw"
      },
      "source": [
        "!./result 1000"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}