paper_note/lynx/scalability.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import random\n",
    "\n",
    "plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
    "plt.rcParams[\"font.size\"] = 16\n",
    "\n",
    "g_label_fontsize = 16\n",
    "\n",
    "colors = [\n",
    "    \"#5D7599\",\n",
    "    \"#233142\",\n",
    "    \"#F95959\",\n",
    "]\n",
    "\n",
    "edgecolors = [\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "]\n",
    "\n",
    "hatches = [\"\\\\\\\\\", \"\", \"\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2100x1050 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(7, 7 / 2), ncols=1, nrows=1, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_name_a = [\n",
    "    \"1-node\",\n",
    "    \"2-node\",\n",
    "    \"4-node\",\n",
    "    \"8-node\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MFU\n",
    "data_a = {\n",
    "    labels_name_a[0]: [40.1, 55.8, 62.4],\n",
    "    labels_name_a[1]: [39.6, 48.9, 50.2],\n",
    "    labels_name_a[2]: [38.2, 0, 0],\n",
    "    labels_name_a[3]: [38.1, 0, 0],\n",
    "}\n",
    "\n",
    "data_pa = []\n",
    "data_pb = []\n",
    "data_pc = []\n",
    "\n",
    "for v in data_a.values():\n",
    "    v[1] = v[0] * 0.82 if v[1] == 0 else v[1]\n",
    "    v[2] = v[0] * 1.2 if v[2] == 0 else v[2]\n",
    "    data_pa.append(v[0])\n",
    "    data_pb.append(v[1])\n",
    "    data_pc.append(v[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\"Megatron-LM\", \"XLA\", \"DLRover-Lynx\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "bar_width = 0.2\n",
    "group_spaing = 0.15\n",
    "\n",
    "group_positions = {}\n",
    "current_pos = 0\n",
    "\n",
    "x_label_cnt = len(data_a.keys())\n",
    "x_label_group_cnt = 3\n",
    "\n",
    "for idx in range(x_label_cnt):\n",
    "    group_positions[idx] = []\n",
    "    for _ in range(x_label_group_cnt):\n",
    "        group_positions[idx].append(current_pos)\n",
    "        current_pos += bar_width\n",
    "    current_pos += group_spaing\n",
    "\n",
    "group_centers = {}\n",
    "for idx, positions in group_positions.items():\n",
    "    group_centers[idx] = sum(positions) / len(positions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(13.333333333333346, 0.5, 'MFU (%)')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_set = set()\n",
    "\n",
    "x_a = []\n",
    "x_b = []\n",
    "x_c = []\n",
    "\n",
    "for idx, (x_label, y_data) in enumerate(data_a.items()):\n",
    "    positions = group_positions[idx]\n",
    "    x_a.append(positions[0])\n",
    "    x_b.append(positions[1])\n",
    "    x_c.append(positions[2])\n",
    "\n",
    "    for i, (pos, value, color, edgecolor, hatch, label) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            hatches,\n",
    "            legend_labels,\n",
    "        )\n",
    "    ):\n",
    "        if label in label_set:\n",
    "            local_label = None\n",
    "        else:\n",
    "            local_label = label\n",
    "            label_set.add(local_label)\n",
    "\n",
    "        ax.bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            label=local_label,\n",
    "            hatch=hatch,\n",
    "            edgecolor=edgecolor,\n",
    "        )\n",
    "\n",
    "ax.set_xticks(list(group_centers.values()))\n",
    "ax.set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax.set_ylim(0, 100)\n",
    "ax.set_yticks([0, 50, 100])\n",
    "ax.set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax.plot(x_a, data_pa, color=colors[0], marker=\"x\", linestyle=\"--\", alpha=0.68)\n",
    "ax.plot(x_b, data_pb, color=colors[1], marker=\"v\", linestyle=\"--\", alpha=0.68)\n",
    "ax.plot(x_c, data_pc, color=colors[2], marker=\"^\", linestyle=\"--\", alpha=0.68)\n",
    "\n",
    "\n",
    "ax.tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize, pad=1)\n",
    "ax.tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "ax.set_ylabel(\"MFU (%)\", fontsize=g_label_fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f15be179340>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.legend(\n",
    "    ncol=3,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    bbox_to_anchor=(0.5, 0.97),\n",
    "    fontsize=g_label_fontsize,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2100x1050 with 1 Axes>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.savefig(\"scalability.pdf\", bbox_inches=\"tight\", dpi=1000)\n",
    "fig"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}