derkling/Estimate_Utilization_LPC.ipynb Secret

## Estimate_Utilization_LPC.ipynb

      
Display the source blob

    
Display the rendered blob

    
    Raw
  

              Estimate_Utilization_LPC.ipynb
            
          
        Loading

      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## Estimate_Utilization_OSPM.ipynb
{
  "cells": [
    {
      "metadata": {
        "run_control": {
          "frozen": false,
          "read_only": false
        }
      },
      "cell_type": "markdown",
      "source": "Report available at this link:\n\nhttps://docs.google.com/document/d/1f2NpnYUS0ci_sLn4i2IY6ZKrRVOqRNnktI9xnt4yK6w/edit"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Results using UTIL_EST"
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": true
      },
      "cell_type": "code",
      "source": "USE_UTIL_EST = True",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Imports"
    },
    {
      "metadata": {
        "collapsed": true,
        "run_control": {
          "frozen": false,
          "read_only": false,
          "marked": false
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "import logging\nreload(logging)\nlogging.basicConfig(\n    format='%(asctime)-9s %(levelname)-8s: %(message)s',\n    datefmt='%I:%M:%S')\n\n# Enable logging at INFO level\nlogging.getLogger().setLevel(logging.INFO)\n# Comment the follwing line to disable devlib debugging statements\n#logging.getLogger('ssh').setLevel(logging.DEBUG)",
      "execution_count": 2,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": false,
        "run_control": {
          "frozen": false,
          "read_only": false,
          "marked": false
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "# Generate plots inline\n%pylab inline\n\nimport json\nimport os\nimport subprocess\n\n# Support to access the remote target\nimport devlib\nfrom env import TestEnv\n\n# Support for trace events analysis\nfrom trace import Trace\n\n# Support to configure and run RTApp based workloads\nfrom wlgen import RTA, Periodic, Ramp\n\n# Suport for FTrace events parsing and visualization\nimport trappy",
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": "Populating the interactive namespace from numpy and matplotlib\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "run_control": {
          "frozen": false,
          "read_only": false
        }
      },
      "cell_type": "markdown",
      "source": "# Utility Functions"
    },
    {
      "metadata": {
        "collapsed": false,
        "run_control": {
          "frozen": false,
          "read_only": false,
          "marked": false
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "def run(wload, collect='ftrace', governor='schedutil',\n        use_util_est=False, trace_name=None):\n    \n    # Run workload on target\n    if not trace_name:\n        logging.info(\"#### Set [%s] CPUFreq governor\", governor)\n        te.target.cpufreq.set_all_governors(governor)\n        if governor == 'schedutil':\n            for cpu_id in range(te.platform['cpus_count']):\n                te.target.cpufreq.set_governor_tunables(\n                    cpu_id, 'schedutil', **{'rate_limit_us' : '2000'})\n\n        logging.info(\"#### Enable Utilization estimation\")\n        feature = 'UTIL_EST' if use_util_est else 'NO_UTIL_EST'\n        te.target.execute(\"echo {} > /sys/kernel/debug/sched_features\"\\\n                          .format(feature))\n\n        if 'trace' in collect:\n            logging.info('#### Setup FTrace')\n            te.ftrace.start()\n        if 'energy' in collect:\n            logging.info('#### Start energy sampling')\n            te.emeter.reset()\n\n        logging.info('#### Start RTApp execution')\n        wload.run(out_dir=te.res_dir)\n\n        if 'energy' in collect:\n            logging.info('#### Read energy consumption: %s/energy.json', te.res_dir)\n            (nrg, nrg_file) = te.emeter.report(out_dir=te.res_dir)\n        if 'trace' in collect:\n            logging.info('#### Stop FTrace')\n            te.ftrace.stop()\n        \n        trace_name = 'trace_{}.dat'.format(wload.name)\n        trace_file = os.path.join(te.res_dir, trace_name)\n        logging.info('#### Save FTrace: %s', trace_file)\n        te.ftrace.get_trace(trace_file)\n        \n        # Reset governor to ondemand\n        te.target.cpufreq.set_all_governors('ondemand')\n\n        logging.info('#### Save platform description: %s/platform.json', te.res_dir)\n        (plt, plt_file) = te.platform_dump(te.res_dir)\n        \n        platform = te.platform\n        \n    # Load specified trace\n    else:\n        results_dir = os.path.join(\n            os.environ.get('LISA_HOME'), 'results',\n            my_conf['results_dir'])\n        trace_file = os.path.join(results_dir,\n                                  'trace_{}.dat'.format(trace_name))\n        logging.info('#### Using trace_file: %s', trace_file)\n        \n        platform_file = os.path.join(results_dir, 'platform.json')\n        with open(platform_file, 'r') as fh:\n            platform = json.load(fh)\n        \n    logging.info('#### Parse trace')\n    events_to_parse = my_conf['ftrace']['events']\n    trace = Trace(platform, trace_file, events_to_parse)\n    \n    # Add column with util_max = max(util_avg, util_est.last)\n    cpu_df = trace.data_frame.trace_event('sched_load_avg_cpu')\n    cpu_df['util_est'] = cpu_df[['util_avg', 'last']].max(axis=1)\n    cpu_df.head()\n    \n    # Add column with util_max = max(util_avg, util_est.ewma, util_est.last)\n    tsk_df = trace.data_frame.trace_event('sched_load_avg_task')\n    tsk_df['util_est'] = tsk_df[['util_avg', 'ewma', 'last']].max(axis=1)\n    tsk_df.head()\n        \n    return trace_file, trace\n\ndef plot_signals(trace, tasks, cpus,\n         additional_signals=[], #'last', 'ewma',\n         x_min=0, x_max=None):\n    \n    trace.setXTimeRange(x_min, x_max)\n    \n    # Add additional signals\n    signals = ['util_avg', 'residencies', 'util_est'] + additional_signals\n    \n    trace.analysis.tasks.plotTasks(tasks, signals)\n    trace.analysis.frequency.plotCPUFrequencies(cpus)\n    trace.analysis.frequency.plotCPUFrequencyResidency(cpus, pct=True)\n",
      "execution_count": 4,
      "outputs": []
    },
    {
      "metadata": {
        "run_control": {
          "frozen": false,
          "read_only": false
        }
      },
      "cell_type": "markdown",
      "source": "# Target Connection"
    },
    {
      "metadata": {
        "run_control": {
          "marked": false
        },
        "trusted": true,
        "collapsed": true
      },
      "cell_type": "code",
      "source": "# Setup a target configuration\nmy_conf = {\n    \n    # Define the kind of target platform to use for the experiments\n    \"platform\"    : 'linux',  # Linux system, valid other options are:\n                              # android - access via ADB\n                              # linux   - access via SSH\n                              # host    - direct access\n    \n    # Preload settings for a specific target\n    \"board\"       : 'juno',   # load JUNO specific settings, e.g.\n                              # - HWMON based energy sampling\n                              # - Juno energy model\n                              # valid options are:\n                              # - juno  - JUNO Development Board\n                              # - tc2   - TC2 Development Board\n                              # - oak   - Mediatek MT63xx based target\n\n    # Define devlib module to load\n    \"exclude_modules\"     : [\n        'hwmon',        # do not load HWMON, we do not need to measure NRG\n    ],\n\n    # Account to access the remote target\n    \"host\"        : '10.1.210.46',\n    \"username\"    : 'root',\n    \"password\"    : '',\n\n    # Comment the following line to force rt-app calibration on your target\n    \"rtapp-calib\" : {\n        \"0\": 318, \"1\": 124, \"2\": 125, \"3\": 317, \"4\": 319, \"5\": 319\n    },\n\n    # Binary tools required to run this experiment\n    # These tools must be present in the tools/ folder for the architecture\n    \"tools\"   : ['rt-app', 'taskset', 'trace-cmd'],\n    \n    # FTrace events end buffer configuration\n    \"ftrace\"  : {\n         \"events\" : [\n             \"cpu_idle\",\n             \"cpu_frequency\",\n             \"sched_load_avg_task\",\n             \"sched_load_avg_cpu\",\n#             \"sched_load_cfs_rq\",\n#             \"sched_load_se\",\n            \"sched_switch\",\n            \"sched_wakeup\",\n         ],\n         \"buffsize\" : 10240\n    },\n    \n    \"results_dir\" : \"OSPM_EstimatedUtilization\",\n\n}",
      "execution_count": 5,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": false,
        "run_control": {
          "frozen": false,
          "read_only": false
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "te = TestEnv(my_conf, force_new=True)\ntarget = te.target",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": "01:36:35  INFO    : Using base path: /data/Code/lisa\n01:36:35  INFO    : Loading custom (inline) target configuration\n01:36:35  INFO    : Devlib modules to load: ['bl', 'cpufreq']\n01:36:35  INFO    : Connecting linux target:\n01:36:35  INFO    :   username : root\n01:36:35  INFO    :       host : 10.1.210.46\n01:36:35  INFO    :   password : \n01:36:35  INFO    : Connection settings:\n01:36:35  INFO    :    {'username': 'root', 'host': '10.1.210.46', 'password': ''}\n01:36:38  INFO    : Initializing target workdir:\n01:36:38  INFO    :    /root/devlib-target\n01:36:42  INFO    : Topology:\n01:36:42  INFO    :    [[0, 3, 4, 5], [1, 2]]\n01:36:43  INFO    : Loading default EM:\n01:36:43  INFO    :    /data/Code/lisa/libs/utils/platforms/juno.json\n01:36:44  INFO    : Enabled tracepoints:\n01:36:44  INFO    :    cpu_idle\n01:36:44  INFO    :    cpu_frequency\n01:36:44  INFO    :    sched_load_avg_task\n01:36:44  INFO    :    sched_load_avg_cpu\n01:36:44  INFO    :    sched_switch\n01:36:44  INFO    :    sched_wakeup\n01:36:44  WARNING : Using configuration provided RTApp calibration\n01:36:44  INFO    : Using RT-App calibration values:\n01:36:44  INFO    :    {\"0\": 318, \"1\": 124, \"2\": 125, \"3\": 317, \"4\": 319, \"5\": 319}\n01:36:44  WARNING : Wipe previous contents of the results folder:\n01:36:44  WARNING :    /data/Code/lisa/results/OSPM_EstimatedUtilization\n01:36:44  INFO    : HWMON module not enabled\n01:36:44  WARNING : Energy sampling disabled by configuration\n01:36:44  INFO    : Set results folder to:\n01:36:44  INFO    :    /data/Code/lisa/results/OSPM_EstimatedUtilization\n01:36:44  INFO    : Experiment results available also in:\n01:36:44  INFO    :    /data/Code/lisa/results_latest\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Periodic (20ms, 100ms) "
    },
    {
      "metadata": {
        "run_control": {
          "marked": false
        },
        "trusted": true,
        "collapsed": true
      },
      "cell_type": "code",
      "source": "test_id = 'p20_100'\ntasks = ['task_p20_100']",
      "execution_count": 7,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": false,
        "run_control": {
          "frozen": false,
          "read_only": false,
          "marked": false
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "rtapp = RTA(target, test_id, calibration=te.calibration())\nrtapp.conf(\n    kind='profile',\n    params={\n        'task_p20_100': Periodic(\n            period_ms=300,         # period\n            duty_cycle_pct=60,     # duty cycle\n            duration_s=5,          # duration    \n            cpus='2'               # pinned on CPU2\n        ).get(),                \n    },\n    run_dir=target.working_directory\n);",
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": "01:36:44  INFO    : Setup new workload p20_100\n01:36:45  INFO    : Workload duration defined by longest task\n01:36:45  INFO    : Default policy: SCHED_OTHER\n01:36:45  INFO    : ------------------------\n01:36:45  INFO    : task [task_p20_100], sched: using default policy\n01:36:45  INFO    :  | calibration CPU: 1\n01:36:45  INFO    :  | loops count: 1\n01:36:45  INFO    :  | CPUs affinity: 2\n01:36:45  INFO    : + phase_000001: duration 5.000000 [s] (16 loops)\n01:36:45  INFO    : |  period   300000 [us], duty_cycle  60 %\n01:36:45  INFO    : |  run_time 180000 [us], sleep_time 120000 [us]\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "run_control": {
          "marked": false
        },
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "tracefile, trace = run(rtapp, use_util_est=USE_UTIL_EST)\n# tracefile, trace = run(None, use_util_est=USE_UTIL_EST, trace_name=test_id)",
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": "01:36:45  INFO    : #### Set [schedutil] CPUFreq governor\n01:36:50  INFO    : #### Enable Utilization estimation\n01:36:51  INFO    : #### Setup FTrace\n01:36:55  INFO    : #### Start RTApp execution\n01:36:55  INFO    : Workload execution START:\n01:36:55  INFO    :    /root/devlib-target/bin/rt-app /root/devlib-target/p20_100_00.json 2>&1\n01:37:01  INFO    : #### Stop FTrace\n01:37:01  INFO    : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_p20_100.dat\n01:37:04  INFO    : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n01:37:04  INFO    : #### Parse trace\n01:37:05  INFO    : Platform clusters verified to be Frequency coherent\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "run_control": {
          "marked": false
        },
        "trusted": true,
        "collapsed": false,
        "scrolled": false
      },
      "cell_type": "code",
      "source": "plot_signals(trace, tasks, cpus=2, additional_signals=[], x_min=0, x_max=None)",
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": "01:37:05  INFO    : Plotting  3784: task_p20_100, rt-app...\n01:37:06  WARNING : Event [sched_overutilized] not found, plot DISABLED!\n01:37:06  INFO    : CPU02 average frequency: 0.000 GHz\n",
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA64AAALtCAYAAAAovTkEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nas3EVZIkSZJUayaukiRJkqRa+/+K0FwUAsmEmAAAAABJRU5ErkJggg==\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fa434504dd0>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA7wAAAEWCAYAAABFW5uWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fa43452add0>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA8YAAAEBCAYAAAC647zkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fa464fdc050>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "trappy.LinePlot(\n    trace.ftrace,\n    signals=[\n      'sched_load_avg_cpu:util_avg',\n      'sched_load_avg_cpu:last',\n      'sched_load_avg_cpu:util_est',\n    ],\n    pivot='cpu',\n    filters={'cpu': [2]},\n    drawstyle='steps-pre',\n    scatter=False,\n    sync_zoom=True,\n    group='Periodic',\n    marker = '+').view()",
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA+IAAAIaCAYAAACkrPeLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fa464ee06d0>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Ramp (5-25-45ms, 100ms) tasks"
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": true
      },
      "cell_type": "code",
      "source": "test_id = 'ramp5_60'",
      "execution_count": 12,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "rtapp = RTA(target, test_id, calibration=te.calibration())\nrtapp.conf(\n    kind='profile',\n    params={\n        'ramp5_60': Ramp(\n            start_pct=5,           # intial load\n            end_pct=50,            # end load\n            delta_pct=20,          # load % increase...\n            time_s=1,              # ... every 1[s]\n            cpus='2'               # pinned on CPU2\n        ).get(),             \n    },\n    run_dir=target.working_directory\n);\ntasks = ['ramp5_60']",
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": "01:37:07  INFO    : Setup new workload ramp5_60\n01:37:07  INFO    : Workload duration defined by longest task\n01:37:07  INFO    : Default policy: SCHED_OTHER\n01:37:07  INFO    : ------------------------\n01:37:07  INFO    : task [ramp5_60], sched: using default policy\n01:37:07  INFO    :  | calibration CPU: 1\n01:37:07  INFO    :  | loops count: 1\n01:37:07  INFO    :  | CPUs affinity: 2\n01:37:07  INFO    : + phase_000001: duration 1.000000 [s] (10 loops)\n01:37:07  INFO    : |  period   100000 [us], duty_cycle   5 %\n01:37:07  INFO    : |  run_time   5000 [us], sleep_time  95000 [us]\n01:37:07  INFO    : + phase_000002: duration 1.000000 [s] (10 loops)\n01:37:07  INFO    : |  period   100000 [us], duty_cycle  25 %\n01:37:07  INFO    : |  run_time  25000 [us], sleep_time  75000 [us]\n01:37:07  INFO    : + phase_000003: duration 1.000000 [s] (10 loops)\n01:37:07  INFO    : |  period   100000 [us], duty_cycle  45 %\n01:37:07  INFO    : |  run_time  45000 [us], sleep_time  55000 [us]\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "tracefile, trace = run(rtapp, use_util_est=USE_UTIL_EST)\n# tracefile, trace = run(None, use_util_est=USE_UTIL_EST, trace_name=test_id)",
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": "01:37:07  INFO    : #### Set [schedutil] CPUFreq governor\n01:37:12  INFO    : #### Enable Utilization estimation\n01:37:13  INFO    : #### Setup FTrace\n01:37:17  INFO    : #### Start RTApp execution\n01:37:17  INFO    : Workload execution START:\n01:37:17  INFO    :    /root/devlib-target/bin/rt-app /root/devlib-target/ramp5_60_00.json 2>&1\n01:37:21  INFO    : #### Stop FTrace\n01:37:21  INFO    : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_ramp5_60.dat\n01:37:24  INFO    : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n01:37:24  INFO    : #### Parse trace\n01:37:25  INFO    : Platform clusters verified to be Frequency coherent\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "plot_signals(trace, tasks, cpus=2, additional_signals=[], x_min=0, x_max=None)",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": "01:37:25  INFO    : Plotting  3854: ramp5_60, rt-app...\n01:37:26  WARNING : Event [sched_overutilized] not found, plot DISABLED!\n01:37:26  INFO    : CPU02 average frequency: 0.000 GHz\n",
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA64AAALtCAYAAAAovTkEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nsnoYqM60IOJdsWGCmmtsv0lpKPU

## UtilEst Validation.ipynb

      
Display the source blob

    
Display the rendered blob

    
    Raw
  

              UtilEst Validation.ipynb
            
          
        Loading

      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.