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   "source": [
    "import util\n",
    "import os\n",
    "from IPython.core.display import Markdown\n",
    "benchmark = 'dodecahedron'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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      "text/markdown": [
       "# dodecahedron benchmark\n",
       "\n",
       "The dodecahedron benchmark runs a system of $131,072$ dodecahedra using hard particle Monte Carlo.\n",
       "This is a synthetic benchmark of 3D convex polyhedra performance.\n",
       "\n",
       "<img src=\"dodecahedron/dodecahedron.png\" style=\"width: 280px;\"/>\n",
       "\n",
       "Parameters:\n",
       "\n",
       "* $N = 131,072$\n",
       "* Hard particle Monte Carlo\n",
       "    * Vertices: *see dodecahdron/bmark.py*\n",
       "    * $d = 0.3$\n",
       "    * $a = 0.26$\n",
       "    * $n_\\mathrm{select} = 4$\n"
      ],
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       "<IPython.core.display.Markdown object>"
      ]
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     "execution_count": 2,
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    }
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   "source": [
    "Markdown(open(os.path.join(benchmark, 'README.md'), 'r').read())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Performance data\n",
    "\n",
    "Performance results are reported in hours to complete ten million Monte Carlo sweeps, where one sweep is N trial moves."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "| Date | System | Compiler | CUDA | HOOMD | Precision | N | CPU | GPU | Ranks | Time for 10e6 steps (hours)|\n",
       "|------|--------|----------|------|-------|-----------|---|-----|-----|-------|---------------:|\n",
       "| 2018/01/15 | comet | gcc 4.9.2 | 8.0 | 2.2.2 | double | 131,072 |  Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz | **Tesla P100-PCIE-16GB** | 1 | 7.28 |\n",
       "| 2016/10/23 | psg | gcc 4.8.5 | 8.0 | 2.1.1 | double | 131,072 |  Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | **Tesla P100-PCIE-16GB** | 1 | 6.22 |\n",
       "| 2016/10/23 | psg | gcc 4.8.5 | 8.0 | 2.1.1 | double | 131,072 |  Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | **Tesla M40 24GB** | 1 | 17.33 |\n",
       "| 2016/10/23 | psg | gcc 4.8.5 | 8.0 | 2.1.1 | double | 131,072 |  Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | **Tesla K80** | 1 | 25.66 |\n",
       "| 2016/10/23 | psg | gcc 4.8.5 | 8.0 | 2.1.1 | double | 131,072 |  Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz | **Tesla K40m** | 1 | 30.98 |\n"
      ],
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     "execution_count": 3,
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   "source": [
    "rows = util.read_rows(benchmark)\n",
    "table = util.make_table(rows)\n",
    "Markdown(table)"
   ]
  },
  {
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   "execution_count": 4,
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    "from IPython.display import HTML\n",
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   "cell_type": "code",
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