92 lines
2.8 KiB
Plaintext
92 lines
2.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"%matplotlib inline\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"import subprocess, re\n",
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"\n",
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"gitrev = subprocess.getoutput(\"git rev-parse --short HEAD\")\n",
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"\n",
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"data_a = np.zeros((10, 2))\n",
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"data_n = np.zeros((10, 2))\n",
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"\n",
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"for i in range(10):\n",
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" try:\n",
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" with open(\"report_a%d.txt\" % i, \"r\") as f:\n",
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" for line in f:\n",
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" if line.startswith(\"Total path delay:\"):\n",
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" data_a[i, 0] = float(line.split()[3])\n",
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" except:\n",
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" data_a[i, 0] = 1.0\n",
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" \n",
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" try:\n",
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" with open(\"report_n%d.txt\" % i, \"r\") as f:\n",
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" for line in f:\n",
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" if line.startswith(\"Total path delay:\"):\n",
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" data_n[i, 0] = float(line.split()[3])\n",
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" except:\n",
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" data_n[i, 0] = 1.0\n",
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" \n",
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" with open(\"hx8kdemo_a%d.log\" % i, \"r\") as f:\n",
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" for line in f:\n",
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" match = re.match(r\"real\\s+(\\d+)m(\\d+)\", line)\n",
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" if match:\n",
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" data_a[i, 1] = float(match.group(1)) + float(match.group(2))/60\n",
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" \n",
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" with open(\"hx8kdemo_n%d.log\" % i, \"r\") as f:\n",
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" for line in f:\n",
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" match = re.match(r\"real\\s+(\\d+)m(\\d+)\", line)\n",
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" if match:\n",
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" data_n[i, 1] = float(match.group(1)) + float(match.group(2))/60\n",
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"\n",
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"plt.figure(figsize=(9,3))\n",
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"plt.title(\"nextpnr -- ice40/benchmark/ -- %s\" % gitrev)\n",
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"plt.bar(np.arange(10), data_a[:, 0], color='blue')\n",
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"plt.bar(15+np.arange(10), data_n[:, 0], color='red')\n",
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"plt.ylabel('Longest path (ns)')\n",
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"plt.xticks([5, 20], [\"arachne-pnr\", \"nextpnr\"])\n",
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"plt.xlim(-2, 27)\n",
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"plt.show()\n",
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"\n",
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"plt.figure(figsize=(9,3))\n",
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"plt.title(\"nextpnr -- ice40/benchmark/ -- %s\" % gitrev)\n",
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"plt.bar(np.arange(10), data_a[:, 1], color='blue')\n",
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"plt.bar(15+np.arange(10), data_n[:, 1], color='red')\n",
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"plt.ylabel('Runtime (minutes)')\n",
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"plt.xticks([5, 20], [\"arachne-pnr\", \"nextpnr\"])\n",
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"plt.xlim(-2, 27)\n",
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"plt.show()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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