{
"cells": [
{
"cell_type": "raw",
"metadata": {},
"source": [
"\n",
""
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import seaborn\n",
"import pandas as pd\n",
"import numpy as np\n",
"import math\n",
"import sh\n",
"\n",
"IOSTAT_COLUMNS = ['Device:', 'rrqm/s', 'wrqm/s', 'r/s', 'w/s', 'rkB/s', 'wkB/s', 'avgrq-sz', 'avgqu-sz',\n",
" 'await', 'r_await', 'w_await', 'svctm', '%util']\n",
"TEST_CONFIG = 'max-rate-submit'\n",
"DISK_CONFIG = 'ssd'\n",
"\n",
"NJOBS = [1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]\n",
"NDISKS = [1, 2, 4, 8]\n",
"\n",
"DISKS = ['sdb', 'sdc', 'sdd', 'sde', 'sdf', 'sdg', 'sdh', 'sdi']\n",
"\n",
"seaborn.set()\n",
"seaborn.set_context('talk')\n",
"\n",
"jq = sh.jq.bake('-M', '-r')\n",
"\n",
"def fio_iops_series(directory):\n",
" iops = []\n",
" for njobs in NJOBS:\n",
" data = jq('.jobs[0].write.iops', '{:s}/fio-{:d}-jobs/fio.json'.format(directory, njobs))\n",
" iops.append(float(data.strip()))\n",
" return pd.Series(iops, NJOBS)\n",
"\n",
"def fio_latency_series(directory):\n",
" latency = []\n",
" for njobs in NJOBS:\n",
" data = jq('.jobs[0].write.lat_ns.mean', '{:s}/fio-{:d}-jobs/fio.json'.format(directory, njobs))\n",
" latency.append(float(data.strip()))\n",
" return pd.Series(latency, NJOBS)\n",
"\n",
"def iostat_column_series(column, directory, ndisks):\n",
" jobavgs = []\n",
" for njobs in NJOBS:\n",
" diskavgs = pd.Series()\n",
" for disk in DISKS[0:ndisks]:\n",
" data = pd.read_csv('{:s}/fio-{:d}-jobs/iostat-{:s}.txt'.format(directory, njobs, disk),\n",
" delim_whitespace=True, header=None, names=IOSTAT_COLUMNS, skiprows=5)\n",
" diskavgs[disk] = data[column].mean()\n",
" jobavgs.append(data[column].mean())\n",
" return pd.Series(jobavgs, NJOBS)\n",
"\n",
"def get_pctchange_dataframe(project, master):\n",
" diff = pd.DataFrame()\n",
" for plabel, mlabel in zip(project, master):\n",
" new = project[plabel]\n",
" old = master[mlabel]\n",
" diff[plabel.replace('project - ', '')] = 100 * ((new - old) / old)\n",
" return diff\n",
"\n",
"def plot_iops_dataframe(df):\n",
" df.plot(figsize=(16, 9), style='-o')\n",
" plt.title('fio -- write iops vs. fio threads')\n",
" plt.xlabel('number of fio threads issuing writes')\n",
" plt.ylabel('write iops reported by fio')\n",
" plt.loglog(basey=2)\n",
" plt.xticks(df.index, df.index)\n",
" plt.show()\n",
"\n",
"def plot_latency_dataframe(df):\n",
" df.plot(figsize=(16, 9), style='-o')\n",
" plt.title('fio -- average write latency vs. fio threads')\n",
" plt.xlabel('number of fio threads issuing writes')\n",
" plt.ylabel('average write latency reported by fio (microseconds)')\n",
" plt.loglog(basey=2)\n",
" plt.xticks(df.index, df.index)\n",
" plt.show()\n",
"\n",
"def plot_iostat_column_dataframe(df, column):\n",
" df.plot(figsize=(16, 9), style='-o')\n",
" plt.title('iostat -- {:s} vs. fio threads'.format(column))\n",
" plt.xlabel('number of fio threads issuing writes')\n",
" plt.xscale('log')\n",
" plt.xticks(df.index, df.index)\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"master_latency = pd.DataFrame()\n",
"master_iops = pd.DataFrame()\n",
"master_busy = pd.DataFrame()\n",
"for i in NDISKS:\n",
" directory = 'zfsonlinux-6566-perf/{:s}/master/{:d}-{:s}'.format(TEST_CONFIG, i, DISK_CONFIG)\n",
" label = 'master - {:d} {:s}'.format(i, DISK_CONFIG)\n",
" master_latency[label] = fio_latency_series(directory)\n",
" master_iops[label] = fio_iops_series(directory)\n",
" master_busy[label] = iostat_column_series('%util', directory, i)\n",
"\n",
"project_latency = pd.DataFrame()\n",
"project_iops = pd.DataFrame()\n",
"project_busy = pd.DataFrame()\n",
"for i in NDISKS:\n",
" directory = 'zfsonlinux-6566-perf/{:s}/project/{:d}-{:s}'.format(TEST_CONFIG, i, DISK_CONFIG)\n",
" label = 'project - {:d} {:s}'.format(i, DISK_CONFIG)\n",
" project_latency[label] = fio_latency_series(directory)\n",
" project_iops[label] = fio_iops_series(directory)\n",
" project_busy[label] = iostat_column_series('%util', directory, i)\n",
"\n",
"pctchange_latency = get_pctchange_dataframe(project_latency, master_latency)\n",
"pctchange_iops = get_pctchange_dataframe(project_iops, master_iops)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# ZFS on Linux #6566 Performance Results - Max Rate Submit on SSDs\n",
"\n",
"### Workload Details\n",
"\n",
"This workload consisted of using `fio` to drive synchronous writes, while varying the number of threads used by `fio`. Each `fio` thread would issue writes to a unique file, using sequential file offsets, `pwrite`, `O_SYNC`, a blocksize of `8k`, and a queue depth of 1 (i.e. each thread performing a single write at a time). Additionally, each thread would issue the writes as quickly as possible; i.e. immediately after a thread's write would complete, it would issue the next write. Here's the `fio` configuration used to acheive this:\n",
"```\n",
"[global]\n",
"group_reporting\n",
"clocksource=cpu\n",
"ioengine=psync\n",
"fallocate=none\n",
"blocksize=8k\n",
"runtime=60\n",
"time_based\n",
"iodepth=1\n",
"rw=write\n",
"thread=0\n",
"direct=0\n",
"sync=1\n",
"\n",
"[zfs-workload]\n",
"```\n",
"\n",
"The command line flag `--numjobs` was used to vary the number of threads used for each invocation, ranging from a single thread to 1024 threads.\n",
"\n",
"### ZFS Pool and Dataset Configuration\n",
"\n",
"The above `fio` workload was run on zpools with varying numbers of direct attached disks; configurations of 1 disk, 2 disks, 4 disks, and 8 disks were used. All configuration options were kept default at the zpool level (i.e. no `-o` options were passed to `zpool create`).\n",
"\n",
"For all tests, a single ZFS dataset was used to store all the `fio` files for all thread counts. The configuration options used for this dataset were the following: `recsize=8k`, `compress=lz4`, `checksum=edonr`, `redundant_metadata=most`. These were all chosen to match the options used by our Delphix Engine, except `recsize`, which was used to avoid the read-modify-write penalty since `fio` was issuing `8k` writes.\n",
"\n",
"### System Hardware Configuration\n",
"\n",
" - VM running on VMWare ESXi 6.0.0\n",
" - 32 vCPUs\n",
" - 512 GB of RAM\n",
" - Enterprise Solid State Disks"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## IOPs as reported by `fio` vs. number of `fio` threads\n",
"\n",
"Below are graphs of the write IOPs reported by `fio` (using the `write.iops` metric), which accounts for all `fio` threads in the given run; i.e. it's the aggregate value for all `fio` threads vs. the value of each individual `fio` thread. Additionally, each line corresponds to a different zpool configuration; each configuration having a different number of disks in the pool."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### IOPs as reported by `fio` vs. number of `fio` threads - master branch"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
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TczocDiZMGMdXX0V79TxffRXNyJHDvHoOIYQQQgghxJ1DW94VyNWhQwcaN25McnIyAPv2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\nwtckAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot_iops_dataframe(master_iops)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" master - 1 ssd | \n",
" master - 2 ssd | \n",
" master - 4 ssd | \n",
" master - 8 ssd | \n",
"
\n",
" \n",
" \n",
" \n",
" | 1 | \n",
" 6056.349061 | \n",
" 6087.115215 | \n",
" 6100.848319 | \n",
" 5875.052082 | \n",
"
\n",
" \n",
" | 2 | \n",
" 6203.779937 | \n",
" 6471.725471 | \n",
" 6120.431326 | \n",
" 6112.964784 | \n",
"
\n",
" \n",
" | 4 | \n",
" 10618.489692 | \n",
" 10847.469209 | \n",
" 10743.637606 | \n",
" 10981.016983 | \n",
"
\n",
" \n",
" | 8 | \n",
" 16886.218563 | \n",
" 17582.073632 | \n",
" 17536.341061 | \n",
" 17902.586580 | \n",
"
\n",
" \n",
" | 16 | \n",
" 24046.631779 | \n",
" 25113.379554 | \n",
" 25924.302523 | \n",
" 25946.268458 | \n",
"
\n",
" \n",
" | 32 | \n",
" 31043.579702 | \n",
" 34030.932302 | \n",
" 35042.381921 | \n",
" 35222.425919 | \n",
"
\n",
" \n",
" | 64 | \n",
" 37826.675999 | \n",
" 42650.334967 | \n",
" 46433.408315 | \n",
" 48651.039931 | \n",
"
\n",
" \n",
" | 128 | \n",
" 39460.228314 | \n",
" 49333.994400 | \n",
" 58717.052197 | \n",
" 61648.740084 | \n",
"
\n",
" \n",
" | 256 | \n",
" 40910.425624 | \n",
" 48077.815176 | \n",
" 56804.849596 | \n",
" 63290.620938 | \n",
"
\n",
" \n",
" | 512 | \n",
" 46243.375139 | \n",
" 52960.822543 | \n",
" 59141.831568 | \n",
" 64491.367818 | \n",
"
\n",
" \n",
" | 1024 | \n",
" 46536.864901 | \n",
" 55733.908726 | \n",
" 60307.438567 | \n",
" 64175.435090 | \n",
"
\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" project - 1 ssd | \n",
" project - 2 ssd | \n",
" project - 4 ssd | \n",
" project - 8 ssd | \n",
"
\n",
" \n",
" \n",
" \n",
" | 1 | \n",
" 3644.222596 | \n",
" 3670.805487 | \n",
" 3585.473575 | \n",
" 3587.973534 | \n",
"
\n",
" \n",
" | 2 | \n",
" 6654.672422 | \n",
" 6781.157295 | \n",
" 6869.385510 | \n",
" 6764.537258 | \n",
"
\n",
" \n",
" | 4 | \n",
" 11848.769187 | \n",
" 12169.980500 | \n",
" 12113.512883 | \n",
" 12155.764071 | \n",
"
\n",
" \n",
" | 8 | \n",
" 19838.219363 | \n",
" 20506.215631 | \n",
" 20627.895737 | \n",
" 20735.554407 | \n",
"
\n",
" \n",
" | 16 | \n",
" 29451.784941 | \n",
" 31701.476617 | \n",
" 32624.262525 | \n",
" 32969.150514 | \n",
"
\n",
" \n",
" | 32 | \n",
" 42195.140243 | \n",
" 51279.562007 | \n",
" 54162.783722 | \n",
" 55385.680716 | \n",
"
\n",
" \n",
" | 64 | \n",
" 44746.925307 | \n",
" 61632.718364 | \n",
" 69101.699434 | \n",
" 72985.903759 | \n",
"
\n",
" \n",
" | 128 | \n",
" 47857.773778 | \n",
" 56412.997834 | \n",
" 65329.478228 | \n",
" 69944.027861 | \n",
"
\n",
" \n",
" | 256 | \n",
" 48543.445655 | \n",
" 49877.261671 | \n",
" 56629.165556 | \n",
" 60173.391530 | \n",
"
\n",
" \n",
" | 512 | \n",
" 48583.224311 | \n",
" 45939.229463 | \n",
" 51011.105006 | \n",
" 55925.993772 | \n",
"
\n",
" \n",
" | 1024 | \n",
" 48491.827588 | \n",
" 45474.843238 | \n",
" 51953.826713 | \n",
" 56972.802686 | \n",
"
\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" 1 ssd | \n",
" 2 ssd | \n",
" 4 ssd | \n",
" 8 ssd | \n",
"
\n",
" \n",
" \n",
" \n",
" | 1 | \n",
" -39.828062 | \n",
" -39.695482 | \n",
" -41.229918 | \n",
" -38.928651 | \n",
"
\n",
" \n",
" | 2 | \n",
" 7.268028 | \n",
" 4.781288 | \n",
" 12.236951 | \n",
" 10.658862 | \n",
"
\n",
" \n",
" | 4 | \n",
" 11.586200 | \n",
" 12.191888 | \n",
" 12.750572 | \n",
" 10.697981 | \n",
"
\n",
" \n",
" | 8 | \n",
" 17.481716 | \n",
" 16.631383 | \n",
" 17.629417 | \n",
" 15.824349 | \n",
"
\n",
" \n",
" | 16 | \n",
" 22.477797 | \n",
" 26.233415 | \n",
" 25.844321 | \n",
" 27.067021 | \n",
"
\n",
" \n",
" | 32 | \n",
" 35.922277 | \n",
" 50.685152 | \n",
" 54.563648 | \n",
" 57.245503 | \n",
"
\n",
" \n",
" | 64 | \n",
" 18.294627 | \n",
" 44.506997 | \n",
" 48.818926 | \n",
" 50.019206 | \n",
"
\n",
" \n",
" | 128 | \n",
" 21.281036 | \n",
" 14.349139 | \n",
" 11.261509 | \n",
" 13.455730 | \n",
"
\n",
" \n",
" | 256 | \n",
" 18.657885 | \n",
" 3.742779 | \n",
" -0.309276 | \n",
" -4.925263 | \n",
"
\n",
" \n",
" | 512 | \n",
" 5.059858 | \n",
" -13.258089 | \n",
" -13.747844 | \n",
" -13.281427 | \n",
"
\n",
" \n",
" | 1024 | \n",
" 4.200890 | \n",
" -18.407224 | \n",
" -13.851711 | \n",
" -11.223348 | \n",
"
\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" master - 1 ssd | \n",
" master - 2 ssd | \n",
" master - 4 ssd | \n",
" master - 8 ssd | \n",
"
\n",
" \n",
" \n",
" \n",
" | 1 | \n",
" 1.634320e+05 | \n",
" 1.626818e+05 | \n",
" 1.622611e+05 | \n",
" 1.685656e+05 | \n",
"
\n",
" \n",
" | 2 | \n",
" 3.206503e+05 | \n",
" 3.073132e+05 | \n",
" 3.249258e+05 | \n",
" 3.253889e+05 | \n",
"
\n",
" \n",
" | 4 | \n",
" 3.754653e+05 | \n",
" 3.674779e+05 | \n",
" 3.710711e+05 | \n",
" 3.630510e+05 | \n",
"
\n",
" \n",
" | 8 | \n",
" 4.726764e+05 | \n",
" 4.539664e+05 | \n",
" 4.551668e+05 | \n",
" 4.458078e+05 | \n",
"
\n",
" \n",
" | 16 | \n",
" 6.642700e+05 | \n",
" 6.360634e+05 | \n",
" 6.161254e+05 | \n",
" 6.156146e+05 | \n",
"
\n",
" \n",
" | 32 | \n",
" 1.029556e+06 | \n",
" 9.391422e+05 | \n",
" 9.120266e+05 | \n",
" 9.073438e+05 | \n",
"
\n",
" \n",
" | 64 | \n",
" 1.690424e+06 | \n",
" 1.499122e+06 | \n",
" 1.376952e+06 | \n",
" 1.314203e+06 | \n",
"
\n",
" \n",
" | 128 | \n",
" 3.241785e+06 | \n",
" 2.592765e+06 | \n",
" 2.178316e+06 | \n",
" 2.074708e+06 | \n",
"
\n",
" \n",
" | 256 | \n",
" 6.254457e+06 | \n",
" 5.321537e+06 | \n",
" 4.504116e+06 | \n",
" 4.042400e+06 | \n",
"
\n",
" \n",
" | 512 | \n",
" 1.106624e+07 | \n",
" 9.662017e+06 | \n",
" 8.651920e+06 | \n",
" 7.934605e+06 | \n",
"
\n",
" \n",
" | 1024 | \n",
" 2.198265e+07 | \n",
" 1.835467e+07 | \n",
" 1.696312e+07 | \n",
" 1.593272e+07 | \n",
"
\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" project - 1 ssd | \n",
" project - 2 ssd | \n",
" project - 4 ssd | \n",
" project - 8 ssd | \n",
"
\n",
" \n",
" \n",
" \n",
" | 1 | \n",
" 2.726606e+05 | \n",
" 2.706092e+05 | \n",
" 2.771413e+05 | \n",
" 2.769303e+05 | \n",
"
\n",
" \n",
" | 2 | \n",
" 2.988132e+05 | \n",
" 2.932227e+05 | \n",
" 2.894533e+05 | \n",
" 2.939649e+05 | \n",
"
\n",
" \n",
" | 4 | \n",
" 3.358907e+05 | \n",
" 3.269556e+05 | \n",
" 3.285516e+05 | \n",
" 3.273957e+05 | \n",
"
\n",
" \n",
" | 8 | \n",
" 4.014587e+05 | \n",
" 3.883788e+05 | \n",
" 3.860536e+05 | \n",
" 3.840481e+05 | \n",
"
\n",
" \n",
" | 16 | \n",
" 5.412651e+05 | \n",
" 5.028651e+05 | \n",
" 4.886039e+05 | \n",
" 4.835039e+05 | \n",
"
\n",
" \n",
" | 32 | \n",
" 7.561537e+05 | \n",
" 6.220327e+05 | \n",
" 5.887969e+05 | \n",
" 5.758232e+05 | \n",
"
\n",
" \n",
" | 64 | \n",
" 1.427696e+06 | \n",
" 1.036090e+06 | \n",
" 9.238585e+05 | \n",
" 8.747113e+05 | \n",
"
\n",
" \n",
" | 128 | \n",
" 2.672000e+06 | \n",
" 2.266187e+06 | \n",
" 1.956765e+06 | \n",
" 1.827536e+06 | \n",
"
\n",
" \n",
" | 256 | \n",
" 5.270541e+06 | \n",
" 5.128061e+06 | \n",
" 4.516623e+06 | \n",
" 4.249967e+06 | \n",
"
\n",
" \n",
" | 512 | \n",
" 1.048588e+07 | \n",
" 1.113338e+07 | \n",
" 1.002702e+07 | \n",
" 9.145640e+06 | \n",
"
\n",
" \n",
" | 1024 | \n",
" 2.109508e+07 | \n",
" 2.247549e+07 | \n",
" 1.966923e+07 | \n",
" 1.793858e+07 | \n",
"
\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" 1 ssd | \n",
" 2 ssd | \n",
" 4 ssd | \n",
" 8 ssd | \n",
"
\n",
" \n",
" \n",
" \n",
" | 1 | \n",
" 66.834331 | \n",
" 66.342679 | \n",
" 70.799623 | \n",
" 64.286374 | \n",
"
\n",
" \n",
" | 2 | \n",
" -6.810240 | \n",
" -4.585077 | \n",
" -10.917115 | \n",
" -9.657367 | \n",
"
\n",
" \n",
" | 4 | \n",
" -10.540152 | \n",
" -11.027158 | \n",
" -11.458601 | \n",
" -9.821014 | \n",
"
\n",
" \n",
" | 8 | \n",
" -15.066894 | \n",
" -14.447663 | \n",
" -15.184151 | \n",
" -13.853438 | \n",
"
\n",
" \n",
" | 16 | \n",
" -18.517310 | \n",
" -20.941048 | \n",
" -20.697339 | \n",
" -21.459966 | \n",
"
\n",
" \n",
" | 32 | \n",
" -26.555354 | \n",
" -33.765868 | \n",
" -35.440817 | \n",
" -36.537482 | \n",
"
\n",
" \n",
" | 64 | \n",
" -15.542146 | \n",
" -30.886878 | \n",
" -32.905559 | \n",
" -33.441690 | \n",
"
\n",
" \n",
" | 128 | \n",
" -17.576290 | \n",
" -12.595737 | \n",
" -10.170758 | \n",
" -11.913569 | \n",
"
\n",
" \n",
" | 256 | \n",
" -15.731435 | \n",
" -3.635715 | \n",
" 0.277679 | \n",
" 5.134768 | \n",
"
\n",
" \n",
" | 512 | \n",
" -5.244370 | \n",
" 15.228359 | \n",
" 15.893635 | \n",
" 15.262690 | \n",
"
\n",
" \n",
" | 1024 | \n",
" -4.037587 | \n",
" 22.451091 | \n",
" 15.952895 | \n",
" 12.589519 | \n",
"
\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" master - 1 ssd | \n",
" master - 2 ssd | \n",
" master - 4 ssd | \n",
" master - 8 ssd | \n",
"
\n",
" \n",
" \n",
" \n",
" | 1 | \n",
" 47.658182 | \n",
" 25.083636 | \n",
" 13.120000 | \n",
" 6.269091 | \n",
"
\n",
" \n",
" | 2 | \n",
" 45.280364 | \n",
" 24.850909 | \n",
" 12.798000 | \n",
" 6.064545 | \n",
"
\n",
" \n",
" | 4 | \n",
" 50.523636 | \n",
" 26.196364 | \n",
" 14.775818 | \n",
" 6.864182 | \n",
"
\n",
" \n",
" | 8 | \n",
" 52.999636 | \n",
" 28.087273 | \n",
" 15.250909 | \n",
" 7.890909 | \n",
"
\n",
" \n",
" | 16 | \n",
" 54.928909 | \n",
" 31.650909 | \n",
" 16.921455 | \n",
" 9.133091 | \n",
"
\n",
" \n",
" | 32 | \n",
" 62.363273 | \n",
" 41.832727 | \n",
" 23.876364 | \n",
" 12.107091 | \n",
"
\n",
" \n",
" | 64 | \n",
" 70.960000 | \n",
" 53.774909 | \n",
" 31.805455 | \n",
" 18.065455 | \n",
"
\n",
" \n",
" | 128 | \n",
" 82.654364 | \n",
" 59.873091 | \n",
" 44.790727 | \n",
" 26.600727 | \n",
"
\n",
" \n",
" | 256 | \n",
" 87.353455 | \n",
" 67.063636 | \n",
" 50.402364 | \n",
" 32.772000 | \n",
"
\n",
" \n",
" | 512 | \n",
" 88.965818 | \n",
" 66.821455 | \n",
" 51.632545 | \n",
" 33.361273 | \n",
"
\n",
" \n",
" | 1024 | \n",
" 88.294286 | \n",
" 69.643571 | \n",
" 50.499286 | \n",
" 33.430893 | \n",
"
\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" project - 1 ssd | \n",
" project - 2 ssd | \n",
" project - 4 ssd | \n",
" project - 8 ssd | \n",
"
\n",
" \n",
" \n",
" \n",
" | 1 | \n",
" 29.621818 | \n",
" 14.778182 | \n",
" 7.847273 | \n",
" 3.490909 | \n",
"
\n",
" \n",
" | 2 | \n",
" 31.231091 | \n",
" 16.480000 | \n",
" 9.389091 | \n",
" 4.436364 | \n",
"
\n",
" \n",
" | 4 | \n",
" 37.403636 | \n",
" 19.992727 | \n",
" 10.282182 | \n",
" 4.952727 | \n",
"
\n",
" \n",
" | 8 | \n",
" 41.220909 | \n",
" 23.261273 | \n",
" 14.695636 | \n",
" 7.512727 | \n",
"
\n",
" \n",
" | 16 | \n",
" 59.607273 | \n",
" 41.643091 | \n",
" 23.917636 | \n",
" 12.113636 | \n",
"
\n",
" \n",
" | 32 | \n",
" 81.832909 | \n",
" 61.985455 | \n",
" 37.506182 | \n",
" 20.825273 | \n",
"
\n",
" \n",
" | 64 | \n",
" 91.765818 | \n",
" 74.052909 | \n",
" 51.105455 | \n",
" 28.266364 | \n",
"
\n",
" \n",
" | 128 | \n",
" 91.416364 | \n",
" 75.317273 | \n",
" 50.552364 | \n",
" 31.601636 | \n",
"
\n",
" \n",
" | 256 | \n",
" 92.089091 | \n",
" 74.007818 | \n",
" 57.746182 | \n",
" 35.972364 | \n",
"
\n",
" \n",
" | 512 | \n",
" 92.328571 | \n",
" 74.220364 | \n",
" 55.800545 | \n",
" 36.038545 | \n",
"
\n",
" \n",
" | 1024 | \n",
" 92.817679 | \n",
" 77.469464 | \n",
" 56.516429 | \n",
" 35.760179 | \n",
"
\n",
" \n",
"
\n",
"