remove dead workflow parallel example

examples/Parallel Computing/Index.ipynb

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 {
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   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "<img src=\"../images/ipython_logo.png\">"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Back to the main [Index](../Index.ipynb)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "# Parallel Computing"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "IPython includes an architecture and library for interactive parallel computing. The enables Python functions, along with their arguments, to be run in parallel a multicore CPU, cluster or cloud using a simple Python API."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Tutorials"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "* [Data Publication API](Data Publication API.ipynb) "
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Examples"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "* [Monitoring an MPI Simulation - 1](Monitoring an MPI Simulation - 1.ipynb)\n",
     "* [Monitoring an MPI Simulation - 2](Monitoring an MPI Simulation - 2.ipynb)\n",
     "* [Parallel Decorator and map](Parallel Decorator and map.ipynb)\n",
     "* [Parallel Magics](Parallel Magics.ipynb)\n",
     "* [Using Dill](Using Dill.ipynb)\n",
     "* [Using MPI with IPython Parallel](Using MPI with IPython Parallel.ipynb)\n",
     "* [Monte Carlo Options](Monte Carlo Options.ipynb)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Non-notebook examples"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "This directory also contains examples that are regular Python (`.py`) files."
    ]
   },
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    "execution_count": 1,
    "metadata": {
     "collapsed": false
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        "<a href='customresults.py' target='_blank'>customresults.py</a><br>"
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        "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/customresults.py"
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      "data": {
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        "<a href='dagdeps.py' target='_blank'>dagdeps.py</a><br>"
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        "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/dagdeps.py"
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      "data": {
       "text/html": [
        "<a href='dependencies.py' target='_blank'>dependencies.py</a><br>"
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        "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/dependencies.py"
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      "data": {
       "text/html": [
        "<a href='fetchparse.py' target='_blank'>fetchparse.py</a><br>"
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        "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/fetchparse.py"
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        "<a href='iopubwatcher.py' target='_blank'>iopubwatcher.py</a><br>"
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        "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/iopubwatcher.py"
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      "data": {
       "text/html": [
        "<a href='itermapresult.py' target='_blank'>itermapresult.py</a><br>"
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        "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/itermapresult.py"
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     {
      "data": {
       "text/html": [
        "<a href='nwmerge.py' target='_blank'>nwmerge.py</a><br>"
       ],
       "text/plain": [
        "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/nwmerge.py"
       ]
      },
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     },
     {
      "data": {
       "text/html": [
        "<a href='phistogram.py' target='_blank'>phistogram.py</a><br>"
       ],
       "text/plain": [
        "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/phistogram.py"
       ]
      },
      "metadata": {},
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     },
     {
      "data": {
       "text/html": [
        "<a href='task_profiler.py' target='_blank'>task_profiler.py</a><br>"
       ],
       "text/plain": [
        "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/task_profiler.py"
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      "data": {
       "text/html": [
        "<a href='throughput.py' target='_blank'>throughput.py</a><br>"
       ],
       "text/plain": [
        "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/throughput.py"
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    ],
    "source": [
     "%run ../utils/list_pyfiles.ipy"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "More substantial examples can be found in subdirectories:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/html": [
        "daVinci Word Count/<br>\n",
        "&nbsp;&nbsp;<a href='daVinci Word Count/pwordfreq.py' target='_blank'>pwordfreq.py</a><br>\n",
        "&nbsp;&nbsp;<a href='daVinci Word Count/wordfreq.py' target='_blank'>wordfreq.py</a><br>"
       ],
       "text/plain": [
        "daVinci Word Count/\n",
        "  pwordfreq.py\n",
        "  wordfreq.py"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
       "text/html": [
        "interengine/<br>\n",
        "&nbsp;&nbsp;<a href='interengine/bintree.py' target='_blank'>bintree.py</a><br>\n",
        "&nbsp;&nbsp;<a href='interengine/bintree_script.py' target='_blank'>bintree_script.py</a><br>\n",
        "&nbsp;&nbsp;<a href='interengine/communicator.py' target='_blank'>communicator.py</a><br>\n",
        "&nbsp;&nbsp;<a href='interengine/interengine.py' target='_blank'>interengine.py</a><br>"
       ],
       "text/plain": [
        "interengine/\n",
        "  bintree.py\n",
        "  bintree_script.py\n",
        "  communicator.py\n",
        "  interengine.py"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
       "text/html": [],
       "text/plain": []
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
       "text/html": [
        "pi/<br>\n",
        "&nbsp;&nbsp;<a href='pi/parallelpi.py' target='_blank'>parallelpi.py</a><br>\n",
        "&nbsp;&nbsp;<a href='pi/pidigits.py' target='_blank'>pidigits.py</a><br>"
       ],
       "text/plain": [
        "pi/\n",
        "  parallelpi.py\n",
        "  pidigits.py"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
       "text/html": [
        "rmt/<br>\n",
        "&nbsp;&nbsp;<a href='rmt/rmt.ipy' target='_blank'>rmt.ipy</a><br>\n",
        "&nbsp;&nbsp;<a href='rmt/rmt.ipynb' target='_blank'>rmt.ipynb</a><br>\n",
        "&nbsp;&nbsp;<a href='rmt/rmtkernel.py' target='_blank'>rmtkernel.py</a><br>"
       ],
       "text/plain": [
        "rmt/\n",
        "  rmt.ipy\n",
        "  rmt.ipynb\n",
        "  rmtkernel.py"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
       "text/html": [
        "wave2D/<br>\n",
        "&nbsp;&nbsp;<a href='wave2D/communicator.py' target='_blank'>communicator.py</a><br>\n",
        "&nbsp;&nbsp;<a href='wave2D/parallelwave-mpi.py' target='_blank'>parallelwave-mpi.py</a><br>\n",
        "&nbsp;&nbsp;<a href='wave2D/parallelwave.py' target='_blank'>parallelwave.py</a><br>\n",
        "&nbsp;&nbsp;<a href='wave2D/RectPartitioner.py' target='_blank'>RectPartitioner.py</a><br>\n",
        "&nbsp;&nbsp;<a href='wave2D/wavesolver.py' target='_blank'>wavesolver.py</a><br>"
       ],
       "text/plain": [
        "wave2D/\n",
        "  communicator.py\n",
        "  parallelwave-mpi.py\n",
        "  parallelwave.py\n",
        "  RectPartitioner.py\n",
        "  wavesolver.py"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "workflow/<br>\n",
-       "&nbsp;&nbsp;<a href='workflow/client.py' target='_blank'>client.py</a><br>\n",
-       "&nbsp;&nbsp;<a href='workflow/job_wrapper.py' target='_blank'>job_wrapper.py</a><br>\n",
-       "&nbsp;&nbsp;<a href='workflow/wmanager.py' target='_blank'>wmanager.py</a><br>"
-      ],
-      "text/plain": [
-       "workflow/\n",
-       "  client.py\n",
-       "  job_wrapper.py\n",
-       "  wmanager.py"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
     "%run ../utils/list_subdirs.ipy"
    ]
   }
  ],
  "metadata": {},
  "nbformat": 4,
  "nbformat_minor": 0
 }
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