diff --git a/bench/README.md b/bench/README.md
index 983a935..6559f70 100644
--- a/bench/README.md
+++ b/bench/README.md
@@ -2,7 +2,7 @@
 
 This page is documenting the benchmark methodology used to analyze the performance overhead of the various go profilers. The results are discussed in the documents for each individual profiler.
 
-Benchmarking is done by invoking the Go program included in this directory. You can look at [run.sh](./run.sh) to see the current arguments that are being used, but here is an example for block profiling with various profiling rates:
+Benchmarking is done by invoking the Go program included in this directory. You can look at [run.sh](./run.sh) to see the current arguments that are being used, but here is an example for block profiling with two workloads and various profiling rates:
 
 ```
 go run . \
@@ -20,4 +20,10 @@ Workloads are defined in the [workloads.go](./workloads.go) file. For now the wo
 
 The CSV files are visualized using the [analysis.ipynb](./analysis.ipynb) notebook that's included in this directory.
 
-For now the data is only collected from my local MacBook Pro machine (using docker for mac), but more realistic environments will be included in the future. But it's probably a good setup for finding pathological scenarios : ).
\ No newline at end of file
+For now the data is only collected from my local MacBook Pro machine (using docker for mac), but more realistic environments will be included in the future. But it's probably a good setup for finding pathological scenarios : ).
+
+## Disclaimers
+
+I work at [Datadog](https://www.datadoghq.com/) on [Continuous Profiling](https://www.datadoghq.com/product/code-profiling/) for Go (you should check it out) and they generously allowed me to do all this research and publish it.
+
+The information on this page is believed to be correct, but no warranty is provided. Feedback is welcome!
\ No newline at end of file
diff --git a/bench/analysis.ipynb b/bench/analysis.ipynb
index b62d743..1af1b28 100644
--- a/bench/analysis.ipynb
+++ b/bench/analysis.ipynb
@@ -15,34 +15,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
-   "id": "viral-baking",
+   "execution_count": 194,
+   "id": "separated-foundation",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1200x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<ggplot: (329078197)>"
-      ]
-     },
-     "execution_count": 122,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "plotnine.options.figure_size = (12, 4.8)\n",
-    "df = pd.read_csv('block_linux_x86_64.csv')    \n",
+    "df = pd.concat([\n",
+    "    pd.read_csv('block_linux_x86_64.csv'),\n",
+    "    pd.read_csv('block_bufchan_linux_x86_64.csv'),\n",
+    "])\n",
+    "df['workload'] = [\n",
+    "    r['workload'] if r['workload'] != 'chan' else 'chan(cap={})'.format(r['bufsize'])\n",
+    "    for _, r in df.iterrows()\n",
+    "]\n",
     "df['blockprofilerate'] = [('10$^{'+str(int(math.log10(x)))+'}$') if x > 1 else str(x) for x in df['blockprofilerate']]\n",
     "\n",
     "compare = df.groupby(['blockprofilerate', 'workload']).median()\n",
@@ -51,7 +36,38 @@
     "    (x['ms'] / compare.loc['0'].loc[x['workload']]['ms'] - 1) * 100\n",
     "    for _, x in compare.reset_index().iterrows()\n",
     "]\n",
-    "compare = compare.reset_index()\n",
+    "compare = compare.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "id": "viral-baking",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x1000 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<ggplot: (335455735)>"
+      ]
+     },
+     "execution_count": 201,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plotnine.options.figure_size = (12, 10)\n",
     "\n",
     "def plot_title(df):\n",
     "    return (\n",
@@ -63,6 +79,7 @@
     "            '1.15.7',\n",
     "            val_range(df, 'goroutines'),\n",
     "            val_range(df, 'depth'),\n",
+    "#             val_range(df, 'bufsize'),\n",
     "            val_range(df, 'ops'),\n",
     "        )\n",
     "    )\n",
@@ -87,11 +104,19 @@
     ")\n",
     "+ scale_color_gradient(low=\"green\",high=\"red\",name='overhead (%)')\n",
     "+ geom_boxplot(outlier_shape='')\n",
-    "+ facet_wrap('workload', scales='free')\n",
-    "+ theme(subplots_adjust={'wspace': 0.05})\n",
+    "+ facet_wrap('workload', scales='free', ncol=2)\n",
+    "+ theme(subplots_adjust={'wspace': 0.05, 'hspace': 0.2})\n",
     "+ geom_point(color='blue',shape='o',alpha=0.3, size=1)\n",
     ")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "orange-degree",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/bench/block_bufchan_linux_x86_64.csv b/bench/block_bufchan_linux_x86_64.csv
new file mode 100644
index 0000000..d8deda1
--- /dev/null
+++ b/bench/block_bufchan_linux_x86_64.csv
@@ -0,0 +1,161 @@
+workload,ops,goroutines,depth,bufsize,blockprofilerate,run,ms
+chan,100000,12,16,128,0,1,26.111602
+chan,100000,12,16,128,0,2,24.330099
+chan,100000,12,16,128,0,3,25.564551
+chan,100000,12,16,128,0,4,21.197282
+chan,100000,12,16,128,0,5,25.208467
+chan,100000,12,16,128,0,6,24.942660
+chan,100000,12,16,128,0,7,25.745805
+chan,100000,12,16,128,0,8,25.952320
+chan,100000,12,16,128,0,9,25.502639
+chan,100000,12,16,128,0,10,25.505424
+chan,100000,12,16,128,0,11,19.021869
+chan,100000,12,16,128,0,12,24.093446
+chan,100000,12,16,128,0,13,25.470600
+chan,100000,12,16,128,0,14,24.750474
+chan,100000,12,16,128,0,15,25.318373
+chan,100000,12,16,128,0,16,24.801701
+chan,100000,12,16,128,0,17,25.410303
+chan,100000,12,16,128,0,18,23.951828
+chan,100000,12,16,128,0,19,25.501909
+chan,100000,12,16,128,0,20,25.479501
+chan,100000,12,16,128,1,1,28.818918
+chan,100000,12,16,128,1,2,27.955490
+chan,100000,12,16,128,1,3,27.657836
+chan,100000,12,16,128,1,4,28.679312
+chan,100000,12,16,128,1,5,28.240668
+chan,100000,12,16,128,1,6,27.620967
+chan,100000,12,16,128,1,7,25.435637
+chan,100000,12,16,128,1,8,28.245240
+chan,100000,12,16,128,1,9,24.528563
+chan,100000,12,16,128,1,10,27.792067
+chan,100000,12,16,128,1,11,28.284682
+chan,100000,12,16,128,1,12,28.398926
+chan,100000,12,16,128,1,13,28.064085
+chan,100000,12,16,128,1,14,27.722551
+chan,100000,12,16,128,1,15,27.945585
+chan,100000,12,16,128,1,16,27.936740
+chan,100000,12,16,128,1,17,27.591487
+chan,100000,12,16,128,1,18,28.128410
+chan,100000,12,16,128,1,19,27.597430
+chan,100000,12,16,128,1,20,27.567145
+chan,100000,12,16,128,10,1,27.021942
+chan,100000,12,16,128,10,2,27.381591
+chan,100000,12,16,128,10,3,27.646931
+chan,100000,12,16,128,10,4,26.951227
+chan,100000,12,16,128,10,5,28.278806
+chan,100000,12,16,128,10,6,27.964904
+chan,100000,12,16,128,10,7,28.244240
+chan,100000,12,16,128,10,8,27.615860
+chan,100000,12,16,128,10,9,28.215444
+chan,100000,12,16,128,10,10,27.167347
+chan,100000,12,16,128,10,11,27.595361
+chan,100000,12,16,128,10,12,27.618797
+chan,100000,12,16,128,10,13,27.547148
+chan,100000,12,16,128,10,14,27.300065
+chan,100000,12,16,128,10,15,27.808355
+chan,100000,12,16,128,10,16,27.218818
+chan,100000,12,16,128,10,17,27.017832
+chan,100000,12,16,128,10,18,27.885908
+chan,100000,12,16,128,10,19,26.738916
+chan,100000,12,16,128,10,20,27.247155
+chan,100000,12,16,128,100,1,27.034945
+chan,100000,12,16,128,100,2,28.234691
+chan,100000,12,16,128,100,3,27.598459
+chan,100000,12,16,128,100,4,27.291299
+chan,100000,12,16,128,100,5,27.678947
+chan,100000,12,16,128,100,6,27.056659
+chan,100000,12,16,128,100,7,28.539225
+chan,100000,12,16,128,100,8,27.786019
+chan,100000,12,16,128,100,9,27.309631
+chan,100000,12,16,128,100,10,27.551574
+chan,100000,12,16,128,100,11,27.652476
+chan,100000,12,16,128,100,12,27.467752
+chan,100000,12,16,128,100,13,24.288803
+chan,100000,12,16,128,100,14,27.395383
+chan,100000,12,16,128,100,15,24.060403
+chan,100000,12,16,128,100,16,28.417372
+chan,100000,12,16,128,100,17,27.703919
+chan,100000,12,16,128,100,18,27.478132
+chan,100000,12,16,128,100,19,23.975185
+chan,100000,12,16,128,100,20,27.867348
+chan,100000,12,16,128,1000,1,27.918440
+chan,100000,12,16,128,1000,2,27.861850
+chan,100000,12,16,128,1000,3,26.594190
+chan,100000,12,16,128,1000,4,27.599727
+chan,100000,12,16,128,1000,5,27.658375
+chan,100000,12,16,128,1000,6,27.025214
+chan,100000,12,16,128,1000,7,27.803807
+chan,100000,12,16,128,1000,8,27.876512
+chan,100000,12,16,128,1000,9,27.634843
+chan,100000,12,16,128,1000,10,27.179596
+chan,100000,12,16,128,1000,11,27.866468
+chan,100000,12,16,128,1000,12,27.517947
+chan,100000,12,16,128,1000,13,27.595231
+chan,100000,12,16,128,1000,14,28.281941
+chan,100000,12,16,128,1000,15,27.365247
+chan,100000,12,16,128,1000,16,27.375731
+chan,100000,12,16,128,1000,17,27.552872
+chan,100000,12,16,128,1000,18,27.886964
+chan,100000,12,16,128,1000,19,27.468668
+chan,100000,12,16,128,1000,20,27.491871
+chan,100000,12,16,128,10000,1,27.505759
+chan,100000,12,16,128,10000,2,28.449661
+chan,100000,12,16,128,10000,3,27.502533
+chan,100000,12,16,128,10000,4,28.213946
+chan,100000,12,16,128,10000,5,28.175616
+chan,100000,12,16,128,10000,6,28.522483
+chan,100000,12,16,128,10000,7,23.045822
+chan,100000,12,16,128,10000,8,27.745446
+chan,100000,12,16,128,10000,9,28.315042
+chan,100000,12,16,128,10000,10,27.612150
+chan,100000,12,16,128,10000,11,27.724441
+chan,100000,12,16,128,10000,12,28.278531
+chan,100000,12,16,128,10000,13,27.564547
+chan,100000,12,16,128,10000,14,27.545289
+chan,100000,12,16,128,10000,15,28.498775
+chan,100000,12,16,128,10000,16,28.194233
+chan,100000,12,16,128,10000,17,28.042158
+chan,100000,12,16,128,10000,18,27.733760
+chan,100000,12,16,128,10000,19,23.489180
+chan,100000,12,16,128,10000,20,27.867968
+chan,100000,12,16,128,100000,1,28.688822
+chan,100000,12,16,128,100000,2,28.172282
+chan,100000,12,16,128,100000,3,28.431106
+chan,100000,12,16,128,100000,4,28.655976
+chan,100000,12,16,128,100000,5,23.034884
+chan,100000,12,16,128,100000,6,28.475143
+chan,100000,12,16,128,100000,7,27.949890
+chan,100000,12,16,128,100000,8,28.711835
+chan,100000,12,16,128,100000,9,28.264331
+chan,100000,12,16,128,100000,10,28.390331
+chan,100000,12,16,128,100000,11,27.687716
+chan,100000,12,16,128,100000,12,28.300156
+chan,100000,12,16,128,100000,13,28.252632
+chan,100000,12,16,128,100000,14,28.841992
+chan,100000,12,16,128,100000,15,29.123085
+chan,100000,12,16,128,100000,16,24.058373
+chan,100000,12,16,128,100000,17,28.251988
+chan,100000,12,16,128,100000,18,23.060083
+chan,100000,12,16,128,100000,19,28.803184
+chan,100000,12,16,128,100000,20,28.249340
+chan,100000,12,16,128,1000000,1,23.341275
+chan,100000,12,16,128,1000000,2,27.960480
+chan,100000,12,16,128,1000000,3,27.965699
+chan,100000,12,16,128,1000000,4,28.260114
+chan,100000,12,16,128,1000000,5,22.787201
+chan,100000,12,16,128,1000000,6,28.314806
+chan,100000,12,16,128,1000000,7,27.769908
+chan,100000,12,16,128,1000000,8,27.955299
+chan,100000,12,16,128,1000000,9,28.364142
+chan,100000,12,16,128,1000000,10,28.056026
+chan,100000,12,16,128,1000000,11,28.292778
+chan,100000,12,16,128,1000000,12,28.040546
+chan,100000,12,16,128,1000000,13,28.281895
+chan,100000,12,16,128,1000000,14,28.111810
+chan,100000,12,16,128,1000000,15,27.549470
+chan,100000,12,16,128,1000000,16,26.898413
+chan,100000,12,16,128,1000000,17,29.058733
+chan,100000,12,16,128,1000000,18,27.354946
+chan,100000,12,16,128,1000000,19,28.469475
+chan,100000,12,16,128,1000000,20,28.109963
diff --git a/bench/block_darwin_x86_64.csv b/bench/block_darwin_x86_64.csv
index 5bf8112..640b39a 100644
--- a/bench/block_darwin_x86_64.csv
+++ b/bench/block_darwin_x86_64.csv
@@ -1,321 +1,37 @@
 workload,ops,goroutines,depth,blockprofilerate,run,ms
-mutex,100000,12,16,0,1,49.681104
-mutex,100000,12,16,0,2,50.078913
-mutex,100000,12,16,0,3,47.927359
-mutex,100000,12,16,0,4,59.656092
-mutex,100000,12,16,0,5,50.291591
-mutex,100000,12,16,0,6,65.488211
-mutex,100000,12,16,0,7,58.640640
-mutex,100000,12,16,0,8,65.101864
-mutex,100000,12,16,0,9,49.520904
-mutex,100000,12,16,0,10,65.811132
-mutex,100000,12,16,0,11,42.707750
-mutex,100000,12,16,0,12,64.331059
-mutex,100000,12,16,0,13,63.190112
-mutex,100000,12,16,0,14,64.777749
-mutex,100000,12,16,0,15,39.752394
-mutex,100000,12,16,0,16,47.413504
-mutex,100000,12,16,0,17,43.184214
-mutex,100000,12,16,0,18,65.530894
-mutex,100000,12,16,0,19,50.728438
-mutex,100000,12,16,0,20,58.386635
-mutex,100000,12,16,1,1,50.944243
-mutex,100000,12,16,1,2,42.542311
-mutex,100000,12,16,1,3,50.638888
-mutex,100000,12,16,1,4,48.546566
-mutex,100000,12,16,1,5,40.317764
-mutex,100000,12,16,1,6,65.192313
-mutex,100000,12,16,1,7,52.266073
-mutex,100000,12,16,1,8,46.385730
-mutex,100000,12,16,1,9,52.624183
-mutex,100000,12,16,1,10,45.297780
-mutex,100000,12,16,1,11,60.336353
-mutex,100000,12,16,1,12,52.750945
-mutex,100000,12,16,1,13,47.256072
-mutex,100000,12,16,1,14,56.113491
-mutex,100000,12,16,1,15,59.158761
-mutex,100000,12,16,1,16,43.212372
-mutex,100000,12,16,1,17,50.031352
-mutex,100000,12,16,1,18,67.085131
-mutex,100000,12,16,1,19,66.665573
-mutex,100000,12,16,1,20,47.070331
-mutex,100000,12,16,10,1,57.264136
-mutex,100000,12,16,10,2,67.843495
-mutex,100000,12,16,10,3,45.464245
-mutex,100000,12,16,10,4,53.264239
-mutex,100000,12,16,10,5,52.047079
-mutex,100000,12,16,10,6,62.050308
-mutex,100000,12,16,10,7,41.263293
-mutex,100000,12,16,10,8,54.802473
-mutex,100000,12,16,10,9,51.945275
-mutex,100000,12,16,10,10,61.168683
-mutex,100000,12,16,10,11,51.177096
-mutex,100000,12,16,10,12,48.406307
-mutex,100000,12,16,10,13,49.220852
-mutex,100000,12,16,10,14,60.442277
-mutex,100000,12,16,10,15,51.963914
-mutex,100000,12,16,10,16,66.966394
-mutex,100000,12,16,10,17,41.372235
-mutex,100000,12,16,10,18,42.587658
-mutex,100000,12,16,10,19,49.171039
-mutex,100000,12,16,10,20,51.542382
-mutex,100000,12,16,100,1,68.791788
-mutex,100000,12,16,100,2,51.846772
-mutex,100000,12,16,100,3,48.625480
-mutex,100000,12,16,100,4,68.580630
-mutex,100000,12,16,100,5,60.722834
-mutex,100000,12,16,100,6,44.417033
-mutex,100000,12,16,100,7,47.027116
-mutex,100000,12,16,100,8,48.420106
-mutex,100000,12,16,100,9,59.013143
-mutex,100000,12,16,100,10,50.902912
-mutex,100000,12,16,100,11,46.468126
-mutex,100000,12,16,100,12,68.390484
-mutex,100000,12,16,100,13,62.588615
-mutex,100000,12,16,100,14,60.629303
-mutex,100000,12,16,100,15,67.084802
-mutex,100000,12,16,100,16,58.628457
-mutex,100000,12,16,100,17,67.506226
-mutex,100000,12,16,100,18,43.632227
-mutex,100000,12,16,100,19,59.380773
-mutex,100000,12,16,100,20,49.425766
-mutex,100000,12,16,1000,1,50.404625
-mutex,100000,12,16,1000,2,42.048149
-mutex,100000,12,16,1000,3,56.374296
-mutex,100000,12,16,1000,4,43.777660
-mutex,100000,12,16,1000,5,66.811352
-mutex,100000,12,16,1000,6,55.521177
-mutex,100000,12,16,1000,7,52.749122
-mutex,100000,12,16,1000,8,67.634553
-mutex,100000,12,16,1000,9,68.680265
-mutex,100000,12,16,1000,10,52.183400
-mutex,100000,12,16,1000,11,66.177865
-mutex,100000,12,16,1000,12,46.797660
-mutex,100000,12,16,1000,13,65.397480
-mutex,100000,12,16,1000,14,54.648316
-mutex,100000,12,16,1000,15,53.222728
-mutex,100000,12,16,1000,16,56.852040
-mutex,100000,12,16,1000,17,49.813221
-mutex,100000,12,16,1000,18,53.560966
-mutex,100000,12,16,1000,19,50.489613
-mutex,100000,12,16,1000,20,44.719812
-mutex,100000,12,16,10000,1,51.217334
-mutex,100000,12,16,10000,2,47.542253
-mutex,100000,12,16,10000,3,39.239273
-mutex,100000,12,16,10000,4,53.096943
-mutex,100000,12,16,10000,5,51.599820
-mutex,100000,12,16,10000,6,58.732492
-mutex,100000,12,16,10000,7,56.722604
-mutex,100000,12,16,10000,8,58.905575
-mutex,100000,12,16,10000,9,56.649334
-mutex,100000,12,16,10000,10,58.762068
-mutex,100000,12,16,10000,11,47.574787
-mutex,100000,12,16,10000,12,66.860659
-mutex,100000,12,16,10000,13,59.622704
-mutex,100000,12,16,10000,14,54.709976
-mutex,100000,12,16,10000,15,60.568121
-mutex,100000,12,16,10000,16,45.257157
-mutex,100000,12,16,10000,17,55.519563
-mutex,100000,12,16,10000,18,55.277471
-mutex,100000,12,16,10000,19,48.347631
-mutex,100000,12,16,10000,20,58.185999
-mutex,100000,12,16,100000,1,50.658573
-mutex,100000,12,16,100000,2,51.870714
-mutex,100000,12,16,100000,3,58.421035
-mutex,100000,12,16,100000,4,51.292373
-mutex,100000,12,16,100000,5,57.245658
-mutex,100000,12,16,100000,6,46.146581
-mutex,100000,12,16,100000,7,48.557333
-mutex,100000,12,16,100000,8,47.831668
-mutex,100000,12,16,100000,9,51.397730
-mutex,100000,12,16,100000,10,48.835914
-mutex,100000,12,16,100000,11,42.140227
-mutex,100000,12,16,100000,12,40.080772
-mutex,100000,12,16,100000,13,57.205709
-mutex,100000,12,16,100000,14,51.206220
-mutex,100000,12,16,100000,15,51.223188
-mutex,100000,12,16,100000,16,59.830204
-mutex,100000,12,16,100000,17,49.893225
-mutex,100000,12,16,100000,18,53.510641
-mutex,100000,12,16,100000,19,60.542843
-mutex,100000,12,16,100000,20,44.301078
-mutex,100000,12,16,1000000,1,66.655018
-mutex,100000,12,16,1000000,2,60.439144
-mutex,100000,12,16,1000000,3,60.095797
-mutex,100000,12,16,1000000,4,60.363989
-mutex,100000,12,16,1000000,5,56.208243
-mutex,100000,12,16,1000000,6,68.455244
-mutex,100000,12,16,1000000,7,55.554970
-mutex,100000,12,16,1000000,8,50.359371
-mutex,100000,12,16,1000000,9,54.162726
-mutex,100000,12,16,1000000,10,60.034517
-mutex,100000,12,16,1000000,11,39.253178
-mutex,100000,12,16,1000000,12,50.693452
-mutex,100000,12,16,1000000,13,67.508558
-mutex,100000,12,16,1000000,14,52.433383
-mutex,100000,12,16,1000000,15,51.282912
-mutex,100000,12,16,1000000,16,43.642607
-mutex,100000,12,16,1000000,17,41.722618
-mutex,100000,12,16,1000000,18,65.895850
-mutex,100000,12,16,1000000,19,57.618387
-mutex,100000,12,16,1000000,20,50.055619
-chan,100000,12,16,0,1,40.127441
-chan,100000,12,16,0,2,41.455001
-chan,100000,12,16,0,3,36.714570
-chan,100000,12,16,0,4,40.933785
-chan,100000,12,16,0,5,41.266292
-chan,100000,12,16,0,6,40.234146
-chan,100000,12,16,0,7,39.892225
-chan,100000,12,16,0,8,41.455500
-chan,100000,12,16,0,9,40.033096
-chan,100000,12,16,0,10,38.649510
-chan,100000,12,16,0,11,41.825958
-chan,100000,12,16,0,12,39.205938
-chan,100000,12,16,0,13,39.995307
-chan,100000,12,16,0,14,41.446220
-chan,100000,12,16,0,15,34.960096
-chan,100000,12,16,0,16,39.238390
-chan,100000,12,16,0,17,40.386993
-chan,100000,12,16,0,18,41.067920
-chan,100000,12,16,0,19,40.729058
-chan,100000,12,16,0,20,38.150088
-chan,100000,12,16,1,1,223.907638
-chan,100000,12,16,1,2,224.186200
-chan,100000,12,16,1,3,222.084690
-chan,100000,12,16,1,4,225.533614
-chan,100000,12,16,1,5,220.717298
-chan,100000,12,16,1,6,224.827734
-chan,100000,12,16,1,7,224.738237
-chan,100000,12,16,1,8,222.894227
-chan,100000,12,16,1,9,225.341929
-chan,100000,12,16,1,10,221.645462
-chan,100000,12,16,1,11,221.707640
-chan,100000,12,16,1,12,217.618091
-chan,100000,12,16,1,13,226.229364
-chan,100000,12,16,1,14,220.475431
-chan,100000,12,16,1,15,226.986811
-chan,100000,12,16,1,16,223.550684
-chan,100000,12,16,1,17,219.462757
-chan,100000,12,16,1,18,222.596380
-chan,100000,12,16,1,19,224.815037
-chan,100000,12,16,1,20,251.754326
-chan,100000,12,16,10,1,257.372765
-chan,100000,12,16,10,2,236.868647
-chan,100000,12,16,10,3,227.049072
-chan,100000,12,16,10,4,226.898790
-chan,100000,12,16,10,5,232.118180
-chan,100000,12,16,10,6,231.541822
-chan,100000,12,16,10,7,234.792215
-chan,100000,12,16,10,8,225.647944
-chan,100000,12,16,10,9,227.758307
-chan,100000,12,16,10,10,225.524614
-chan,100000,12,16,10,11,227.264732
-chan,100000,12,16,10,12,226.755865
-chan,100000,12,16,10,13,238.960593
-chan,100000,12,16,10,14,232.485852
-chan,100000,12,16,10,15,245.820344
-chan,100000,12,16,10,16,236.798622
-chan,100000,12,16,10,17,230.580822
-chan,100000,12,16,10,18,242.449093
-chan,100000,12,16,10,19,257.890520
-chan,100000,12,16,10,20,295.985658
-chan,100000,12,16,100,1,261.136609
-chan,100000,12,16,100,2,252.078825
-chan,100000,12,16,100,3,246.238164
-chan,100000,12,16,100,4,247.750855
-chan,100000,12,16,100,5,254.491770
-chan,100000,12,16,100,6,250.919761
-chan,100000,12,16,100,7,250.302032
-chan,100000,12,16,100,8,255.029772
-chan,100000,12,16,100,9,253.592142
-chan,100000,12,16,100,10,248.644975
-chan,100000,12,16,100,11,245.904687
-chan,100000,12,16,100,12,244.819163
-chan,100000,12,16,100,13,237.814405
-chan,100000,12,16,100,14,234.217106
-chan,100000,12,16,100,15,232.469570
-chan,100000,12,16,100,16,238.851532
-chan,100000,12,16,100,17,234.777584
-chan,100000,12,16,100,18,279.274536
-chan,100000,12,16,100,19,264.663054
-chan,100000,12,16,100,20,245.324167
-chan,100000,12,16,1000,1,248.366516
-chan,100000,12,16,1000,2,244.915217
-chan,100000,12,16,1000,3,251.256402
-chan,100000,12,16,1000,4,257.033927
-chan,100000,12,16,1000,5,244.988459
-chan,100000,12,16,1000,6,246.223655
-chan,100000,12,16,1000,7,246.739936
-chan,100000,12,16,1000,8,247.733433
-chan,100000,12,16,1000,9,243.534361
-chan,100000,12,16,1000,10,244.229115
-chan,100000,12,16,1000,11,241.631071
-chan,100000,12,16,1000,12,248.066545
-chan,100000,12,16,1000,13,246.004506
-chan,100000,12,16,1000,14,258.074152
-chan,100000,12,16,1000,15,285.097017
-chan,100000,12,16,1000,16,261.730586
-chan,100000,12,16,1000,17,249.478010
-chan,100000,12,16,1000,18,257.300198
-chan,100000,12,16,1000,19,249.390272
-chan,100000,12,16,1000,20,249.321477
-chan,100000,12,16,10000,1,50.979799
-chan,100000,12,16,10000,2,54.086199
-chan,100000,12,16,10000,3,53.419140
-chan,100000,12,16,10000,4,51.705684
-chan,100000,12,16,10000,5,53.428333
-chan,100000,12,16,10000,6,53.513013
-chan,100000,12,16,10000,7,52.756857
-chan,100000,12,16,10000,8,52.737539
-chan,100000,12,16,10000,9,54.526229
-chan,100000,12,16,10000,10,54.683371
-chan,100000,12,16,10000,11,49.746521
-chan,100000,12,16,10000,12,54.400111
-chan,100000,12,16,10000,13,50.665225
-chan,100000,12,16,10000,14,54.629914
-chan,100000,12,16,10000,15,54.911260
-chan,100000,12,16,10000,16,66.959642
-chan,100000,12,16,10000,17,141.198709
-chan,100000,12,16,10000,18,66.301375
-chan,100000,12,16,10000,19,67.760641
-chan,100000,12,16,10000,20,66.273444
-chan,100000,12,16,100000,1,51.768910
-chan,100000,12,16,100000,2,51.049230
-chan,100000,12,16,100000,3,54.008867
-chan,100000,12,16,100000,4,50.219752
-chan,100000,12,16,100000,5,52.629875
-chan,100000,12,16,100000,6,52.502319
-chan,100000,12,16,100000,7,52.029321
-chan,100000,12,16,100000,8,52.309561
-chan,100000,12,16,100000,9,53.655503
-chan,100000,12,16,100000,10,52.028376
-chan,100000,12,16,100000,11,52.477284
-chan,100000,12,16,100000,12,53.906940
-chan,100000,12,16,100000,13,51.966575
-chan,100000,12,16,100000,14,48.919888
-chan,100000,12,16,100000,15,52.520428
-chan,100000,12,16,100000,16,51.418556
-chan,100000,12,16,100000,17,51.322284
-chan,100000,12,16,100000,18,52.619286
-chan,100000,12,16,100000,19,50.113266
-chan,100000,12,16,100000,20,51.770223
-chan,100000,12,16,1000000,1,49.424379
-chan,100000,12,16,1000000,2,46.381429
-chan,100000,12,16,1000000,3,47.912844
-chan,100000,12,16,1000000,4,44.600584
-chan,100000,12,16,1000000,5,45.776060
-chan,100000,12,16,1000000,6,43.522351
-chan,100000,12,16,1000000,7,49.256773
-chan,100000,12,16,1000000,8,45.960914
-chan,100000,12,16,1000000,9,43.723385
-chan,100000,12,16,1000000,10,43.966708
-chan,100000,12,16,1000000,11,46.964555
-chan,100000,12,16,1000000,12,44.939054
-chan,100000,12,16,1000000,13,44.300620
-chan,100000,12,16,1000000,14,48.752618
-chan,100000,12,16,1000000,15,43.285205
-chan,100000,12,16,1000000,16,50.477541
-chan,100000,12,16,1000000,17,48.662168
-chan,100000,12,16,1000000,18,43.123251
-chan,100000,12,16,1000000,19,47.569443
-chan,100000,12,16,1000000,20,46.944097
+mutex,100000,12,16,0,1,42.438360
+mutex,100000,12,16,0,2,56.538516
+mutex,100000,12,16,0,3,52.666698
+mutex,100000,12,16,0,4,50.588831
+mutex,100000,12,16,0,5,42.993016
+mutex,100000,12,16,0,6,47.262495
+mutex,100000,12,16,0,7,42.614335
+mutex,100000,12,16,0,8,50.589187
+mutex,100000,12,16,0,9,53.232434
+mutex,100000,12,16,0,10,64.352130
+mutex,100000,12,16,0,11,52.387284
+mutex,100000,12,16,0,12,65.223335
+mutex,100000,12,16,0,13,50.572637
+mutex,100000,12,16,0,14,49.732913
+mutex,100000,12,16,0,15,46.789851
+mutex,100000,12,16,0,16,42.016991
+mutex,100000,12,16,0,17,50.339128
+mutex,100000,12,16,0,18,52.286547
+mutex,100000,12,16,0,19,50.750858
+mutex,100000,12,16,0,20,62.743093
+mutex,100000,12,16,1,1,43.440872
+mutex,100000,12,16,1,2,49.936582
+mutex,100000,12,16,1,3,50.284105
+mutex,100000,12,16,1,4,58.646662
+mutex,100000,12,16,1,5,63.336982
+mutex,100000,12,16,1,6,63.688515
+mutex,100000,12,16,1,7,63.627604
+mutex,100000,12,16,1,8,39.704634
+mutex,100000,12,16,1,9,43.121722
+mutex,100000,12,16,1,10,46.115743
+mutex,100000,12,16,1,11,50.286809
+mutex,100000,12,16,1,12,47.840831
+mutex,100000,12,16,1,13,62.910580
+mutex,100000,12,16,1,14,51.057369
+mutex,100000,12,16,1,15,54.046803
+mutex,100000,12,16,1,16,48.035078
diff --git a/bench/block_linux_x86_64.csv b/bench/block_linux_x86_64.csv
index 43a2f21..6c943f9 100644
--- a/bench/block_linux_x86_64.csv
+++ b/bench/block_linux_x86_64.csv
@@ -1,321 +1,321 @@
-workload,ops,goroutines,depth,blockprofilerate,run,ms
-mutex,100000,12,16,0,1,54.316967
-mutex,100000,12,16,0,2,58.396496
-mutex,100000,12,16,0,3,58.086118
-mutex,100000,12,16,0,4,45.880794
-mutex,100000,12,16,0,5,62.102857
-mutex,100000,12,16,0,6,37.042005
-mutex,100000,12,16,0,7,54.776629
-mutex,100000,12,16,0,8,45.069783
-mutex,100000,12,16,0,9,58.784276
-mutex,100000,12,16,0,10,42.572507
-mutex,100000,12,16,0,11,53.737376
-mutex,100000,12,16,0,12,71.172542
-mutex,100000,12,16,0,13,38.492684
-mutex,100000,12,16,0,14,63.786785
-mutex,100000,12,16,0,15,53.729250
-mutex,100000,12,16,0,16,59.967669
-mutex,100000,12,16,0,17,58.552472
-mutex,100000,12,16,0,18,60.031547
-mutex,100000,12,16,0,19,37.181490
-mutex,100000,12,16,0,20,37.509924
-mutex,100000,12,16,1,1,57.943217
-mutex,100000,12,16,1,2,37.975826
-mutex,100000,12,16,1,3,37.937240
-mutex,100000,12,16,1,4,39.363969
-mutex,100000,12,16,1,5,56.077972
-mutex,100000,12,16,1,6,40.358528
-mutex,100000,12,16,1,7,42.721265
-mutex,100000,12,16,1,8,45.196839
-mutex,100000,12,16,1,9,42.475447
-mutex,100000,12,16,1,10,51.126792
-mutex,100000,12,16,1,11,35.828881
-mutex,100000,12,16,1,12,38.412643
-mutex,100000,12,16,1,13,47.873312
-mutex,100000,12,16,1,14,55.947769
-mutex,100000,12,16,1,15,72.467039
-mutex,100000,12,16,1,16,44.707456
-mutex,100000,12,16,1,17,59.984072
-mutex,100000,12,16,1,18,42.908821
-mutex,100000,12,16,1,19,44.108440
-mutex,100000,12,16,1,20,53.998594
-mutex,100000,12,16,10,1,70.143151
-mutex,100000,12,16,10,2,55.816535
-mutex,100000,12,16,10,3,41.194091
-mutex,100000,12,16,10,4,44.090411
-mutex,100000,12,16,10,5,54.904415
-mutex,100000,12,16,10,6,39.252615
-mutex,100000,12,16,10,7,42.866399
-mutex,100000,12,16,10,8,60.255200
-mutex,100000,12,16,10,9,47.511523
-mutex,100000,12,16,10,10,52.039147
-mutex,100000,12,16,10,11,40.490788
-mutex,100000,12,16,10,12,43.651088
-mutex,100000,12,16,10,13,59.978209
-mutex,100000,12,16,10,14,53.769460
-mutex,100000,12,16,10,15,41.106560
-mutex,100000,12,16,10,16,60.303294
-mutex,100000,12,16,10,17,40.402334
-mutex,100000,12,16,10,18,40.017163
-mutex,100000,12,16,10,19,49.277152
-mutex,100000,12,16,10,20,51.199172
-mutex,100000,12,16,100,1,39.288768
-mutex,100000,12,16,100,2,55.196486
-mutex,100000,12,16,100,3,53.817208
-mutex,100000,12,16,100,4,58.810842
-mutex,100000,12,16,100,5,54.016551
-mutex,100000,12,16,100,6,59.307158
-mutex,100000,12,16,100,7,38.903274
-mutex,100000,12,16,100,8,48.829892
-mutex,100000,12,16,100,9,49.345217
-mutex,100000,12,16,100,10,44.782854
-mutex,100000,12,16,100,11,37.788040
-mutex,100000,12,16,100,12,42.182350
-mutex,100000,12,16,100,13,46.314547
-mutex,100000,12,16,100,14,52.770796
-mutex,100000,12,16,100,15,59.068487
-mutex,100000,12,16,100,16,56.758670
-mutex,100000,12,16,100,17,51.819362
-mutex,100000,12,16,100,18,66.669645
-mutex,100000,12,16,100,19,49.509394
-mutex,100000,12,16,100,20,60.905112
-mutex,100000,12,16,1000,1,42.397958
-mutex,100000,12,16,1000,2,64.316428
-mutex,100000,12,16,1000,3,53.111623
-mutex,100000,12,16,1000,4,59.624116
-mutex,100000,12,16,1000,5,60.317258
-mutex,100000,12,16,1000,6,41.928002
-mutex,100000,12,16,1000,7,52.105324
-mutex,100000,12,16,1000,8,60.904959
-mutex,100000,12,16,1000,9,42.673652
-mutex,100000,12,16,1000,10,49.588975
-mutex,100000,12,16,1000,11,52.024524
-mutex,100000,12,16,1000,12,46.094952
-mutex,100000,12,16,1000,13,48.562110
-mutex,100000,12,16,1000,14,41.799430
-mutex,100000,12,16,1000,15,46.268192
-mutex,100000,12,16,1000,16,41.252831
-mutex,100000,12,16,1000,17,59.132607
-mutex,100000,12,16,1000,18,51.892161
-mutex,100000,12,16,1000,19,54.111253
-mutex,100000,12,16,1000,20,38.372921
-mutex,100000,12,16,10000,1,59.641002
-mutex,100000,12,16,10000,2,49.973647
-mutex,100000,12,16,10000,3,38.625481
-mutex,100000,12,16,10000,4,59.424699
-mutex,100000,12,16,10000,5,57.953225
-mutex,100000,12,16,10000,6,44.957601
-mutex,100000,12,16,10000,7,46.203217
-mutex,100000,12,16,10000,8,52.288887
-mutex,100000,12,16,10000,9,44.328660
-mutex,100000,12,16,10000,10,39.667847
-mutex,100000,12,16,10000,11,42.974844
-mutex,100000,12,16,10000,12,52.379562
-mutex,100000,12,16,10000,13,49.734141
-mutex,100000,12,16,10000,14,41.228561
-mutex,100000,12,16,10000,15,48.635900
-mutex,100000,12,16,10000,16,64.294261
-mutex,100000,12,16,10000,17,43.809172
-mutex,100000,12,16,10000,18,44.837733
-mutex,100000,12,16,10000,19,53.472795
-mutex,100000,12,16,10000,20,41.994453
-mutex,100000,12,16,100000,1,59.152570
-mutex,100000,12,16,100000,2,48.622214
-mutex,100000,12,16,100000,3,59.432735
-mutex,100000,12,16,100000,4,40.483048
-mutex,100000,12,16,100000,5,58.895889
-mutex,100000,12,16,100000,6,55.822857
-mutex,100000,12,16,100000,7,52.981606
-mutex,100000,12,16,100000,8,66.005290
-mutex,100000,12,16,100000,9,54.005082
-mutex,100000,12,16,100000,10,59.296837
-mutex,100000,12,16,100000,11,57.321105
-mutex,100000,12,16,100000,12,39.236022
-mutex,100000,12,16,100000,13,46.842409
-mutex,100000,12,16,100000,14,48.876541
-mutex,100000,12,16,100000,15,54.476928
-mutex,100000,12,16,100000,16,41.977606
-mutex,100000,12,16,100000,17,44.306466
-mutex,100000,12,16,100000,18,38.533324
-mutex,100000,12,16,100000,19,59.002396
-mutex,100000,12,16,100000,20,37.630217
-mutex,100000,12,16,1000000,1,58.936943
-mutex,100000,12,16,1000000,2,48.886314
-mutex,100000,12,16,1000000,3,51.623382
-mutex,100000,12,16,1000000,4,42.478771
-mutex,100000,12,16,1000000,5,51.136114
-mutex,100000,12,16,1000000,6,42.311880
-mutex,100000,12,16,1000000,7,40.123242
-mutex,100000,12,16,1000000,8,61.506757
-mutex,100000,12,16,1000000,9,46.138125
-mutex,100000,12,16,1000000,10,60.063713
-mutex,100000,12,16,1000000,11,51.938390
-mutex,100000,12,16,1000000,12,59.009405
-mutex,100000,12,16,1000000,13,59.361775
-mutex,100000,12,16,1000000,14,46.425741
-mutex,100000,12,16,1000000,15,65.379034
-mutex,100000,12,16,1000000,16,42.358144
-mutex,100000,12,16,1000000,17,48.270702
-mutex,100000,12,16,1000000,18,58.594512
-mutex,100000,12,16,1000000,19,58.858838
-mutex,100000,12,16,1000000,20,48.624175
-chan,100000,12,16,0,1,39.583695
-chan,100000,12,16,0,2,37.679132
-chan,100000,12,16,0,3,38.187174
-chan,100000,12,16,0,4,37.583032
-chan,100000,12,16,0,5,38.254751
-chan,100000,12,16,0,6,38.282791
-chan,100000,12,16,0,7,37.311311
-chan,100000,12,16,0,8,39.065550
-chan,100000,12,16,0,9,39.352942
-chan,100000,12,16,0,10,38.033625
-chan,100000,12,16,0,11,36.103957
-chan,100000,12,16,0,12,38.006286
-chan,100000,12,16,0,13,37.920147
-chan,100000,12,16,0,14,37.422002
-chan,100000,12,16,0,15,38.662770
-chan,100000,12,16,0,16,38.917157
-chan,100000,12,16,0,17,38.162281
-chan,100000,12,16,0,18,36.622740
-chan,100000,12,16,0,19,37.501210
-chan,100000,12,16,0,20,38.567450
-chan,100000,12,16,1,1,239.522848
-chan,100000,12,16,1,2,235.174459
-chan,100000,12,16,1,3,289.102895
-chan,100000,12,16,1,4,304.759576
-chan,100000,12,16,1,5,270.597788
-chan,100000,12,16,1,6,232.870697
-chan,100000,12,16,1,7,242.890884
-chan,100000,12,16,1,8,239.778873
-chan,100000,12,16,1,9,244.697600
-chan,100000,12,16,1,10,246.511364
-chan,100000,12,16,1,11,242.254596
-chan,100000,12,16,1,12,295.518766
-chan,100000,12,16,1,13,273.704467
-chan,100000,12,16,1,14,269.577038
-chan,100000,12,16,1,15,249.510203
-chan,100000,12,16,1,16,247.081444
-chan,100000,12,16,1,17,246.112748
-chan,100000,12,16,1,18,247.528804
-chan,100000,12,16,1,19,253.601358
-chan,100000,12,16,1,20,252.015624
-chan,100000,12,16,10,1,249.982733
-chan,100000,12,16,10,2,290.304619
-chan,100000,12,16,10,3,301.658927
-chan,100000,12,16,10,4,283.065009
-chan,100000,12,16,10,5,251.813735
-chan,100000,12,16,10,6,248.886145
-chan,100000,12,16,10,7,249.903800
-chan,100000,12,16,10,8,251.832819
-chan,100000,12,16,10,9,255.455054
-chan,100000,12,16,10,10,253.044736
-chan,100000,12,16,10,11,252.561864
-chan,100000,12,16,10,12,265.530961
-chan,100000,12,16,10,13,255.446879
-chan,100000,12,16,10,14,252.034695
-chan,100000,12,16,10,15,249.835729
-chan,100000,12,16,10,16,250.880162
-chan,100000,12,16,10,17,253.558323
-chan,100000,12,16,10,18,256.967212
-chan,100000,12,16,10,19,256.575018
-chan,100000,12,16,10,20,278.538039
-chan,100000,12,16,100,1,368.924255
-chan,100000,12,16,100,2,436.448880
-chan,100000,12,16,100,3,368.338030
-chan,100000,12,16,100,4,338.504789
-chan,100000,12,16,100,5,315.762495
-chan,100000,12,16,100,6,301.650122
-chan,100000,12,16,100,7,280.779724
-chan,100000,12,16,100,8,276.455760
-chan,100000,12,16,100,9,274.062293
-chan,100000,12,16,100,10,279.518717
-chan,100000,12,16,100,11,280.096330
-chan,100000,12,16,100,12,278.013383
-chan,100000,12,16,100,13,283.556601
-chan,100000,12,16,100,14,278.349127
-chan,100000,12,16,100,15,268.148128
-chan,100000,12,16,100,16,326.397703
-chan,100000,12,16,100,17,313.538212
-chan,100000,12,16,100,18,284.057441
-chan,100000,12,16,100,19,272.944711
-chan,100000,12,16,100,20,273.856666
-chan,100000,12,16,1000,1,268.246730
-chan,100000,12,16,1000,2,264.629723
-chan,100000,12,16,1000,3,266.368506
-chan,100000,12,16,1000,4,262.081149
-chan,100000,12,16,1000,5,259.129808
-chan,100000,12,16,1000,6,259.931534
-chan,100000,12,16,1000,7,258.059949
-chan,100000,12,16,1000,8,259.955891
-chan,100000,12,16,1000,9,258.827161
-chan,100000,12,16,1000,10,254.779584
-chan,100000,12,16,1000,11,254.238633
-chan,100000,12,16,1000,12,276.546223
-chan,100000,12,16,1000,13,286.325175
-chan,100000,12,16,1000,14,315.581001
-chan,100000,12,16,1000,15,271.581612
-chan,100000,12,16,1000,16,278.434399
-chan,100000,12,16,1000,17,268.423848
-chan,100000,12,16,1000,18,264.493839
-chan,100000,12,16,1000,19,271.163857
-chan,100000,12,16,1000,20,265.004099
-chan,100000,12,16,10000,1,56.527303
-chan,100000,12,16,10000,2,52.379462
-chan,100000,12,16,10000,3,55.556967
-chan,100000,12,16,10000,4,54.407372
-chan,100000,12,16,10000,5,53.980889
-chan,100000,12,16,10000,6,54.451175
-chan,100000,12,16,10000,7,52.703826
-chan,100000,12,16,10000,8,54.131237
-chan,100000,12,16,10000,9,54.835949
-chan,100000,12,16,10000,10,54.939144
-chan,100000,12,16,10000,11,56.151014
-chan,100000,12,16,10000,12,54.041913
-chan,100000,12,16,10000,13,53.736085
-chan,100000,12,16,10000,14,56.427794
-chan,100000,12,16,10000,15,52.839846
-chan,100000,12,16,10000,16,55.239513
-chan,100000,12,16,10000,17,57.065581
-chan,100000,12,16,10000,18,58.324440
-chan,100000,12,16,10000,19,52.376672
-chan,100000,12,16,10000,20,50.203941
-chan,100000,12,16,100000,1,49.917274
-chan,100000,12,16,100000,2,47.873765
-chan,100000,12,16,100000,3,47.112937
-chan,100000,12,16,100000,4,47.252092
-chan,100000,12,16,100000,5,47.998645
-chan,100000,12,16,100000,6,47.744300
-chan,100000,12,16,100000,7,44.912094
-chan,100000,12,16,100000,8,49.675628
-chan,100000,12,16,100000,9,45.412622
-chan,100000,12,16,100000,10,46.326879
-chan,100000,12,16,100000,11,47.263069
-chan,100000,12,16,100000,12,47.545147
-chan,100000,12,16,100000,13,45.694295
-chan,100000,12,16,100000,14,44.475189
-chan,100000,12,16,100000,15,44.499868
-chan,100000,12,16,100000,16,47.189822
-chan,100000,12,16,100000,17,46.313940
-chan,100000,12,16,100000,18,45.605864
-chan,100000,12,16,100000,19,48.997069
-chan,100000,12,16,100000,20,47.836776
-chan,100000,12,16,1000000,1,48.022514
-chan,100000,12,16,1000000,2,46.921618
-chan,100000,12,16,1000000,3,47.473423
-chan,100000,12,16,1000000,4,45.820618
-chan,100000,12,16,1000000,5,45.135362
-chan,100000,12,16,1000000,6,45.301718
-chan,100000,12,16,1000000,7,45.095397
-chan,100000,12,16,1000000,8,42.638379
-chan,100000,12,16,1000000,9,43.341905
-chan,100000,12,16,1000000,10,46.847261
-chan,100000,12,16,1000000,11,47.692030
-chan,100000,12,16,1000000,12,46.032503
-chan,100000,12,16,1000000,13,48.295431
-chan,100000,12,16,1000000,14,46.385992
-chan,100000,12,16,1000000,15,45.991991
-chan,100000,12,16,1000000,16,44.378661
-chan,100000,12,16,1000000,17,45.116409
-chan,100000,12,16,1000000,18,40.500141
-chan,100000,12,16,1000000,19,45.600546
-chan,100000,12,16,1000000,20,44.693533
+workload,ops,goroutines,depth,bufsize,blockprofilerate,run,ms
+mutex,100000,12,16,0,0,1,29.481743
+mutex,100000,12,16,0,0,2,64.981968
+mutex,100000,12,16,0,0,3,71.225005
+mutex,100000,12,16,0,0,4,26.598263
+mutex,100000,12,16,0,0,5,71.346102
+mutex,100000,12,16,0,0,6,66.791153
+mutex,100000,12,16,0,0,7,53.891499
+mutex,100000,12,16,0,0,8,26.243254
+mutex,100000,12,16,0,0,9,27.321912
+mutex,100000,12,16,0,0,10,64.837004
+mutex,100000,12,16,0,0,11,28.869833
+mutex,100000,12,16,0,0,12,70.419986
+mutex,100000,12,16,0,0,13,26.800051
+mutex,100000,12,16,0,0,14,28.762552
+mutex,100000,12,16,0,0,15,68.862563
+mutex,100000,12,16,0,0,16,28.268888
+mutex,100000,12,16,0,0,17,67.820938
+mutex,100000,12,16,0,0,18,60.191464
+mutex,100000,12,16,0,0,19,61.489725
+mutex,100000,12,16,0,0,20,64.336018
+mutex,100000,12,16,0,1,1,27.558063
+mutex,100000,12,16,0,1,2,28.563366
+mutex,100000,12,16,0,1,3,50.521958
+mutex,100000,12,16,0,1,4,65.939789
+mutex,100000,12,16,0,1,5,71.292054
+mutex,100000,12,16,0,1,6,28.796405
+mutex,100000,12,16,0,1,7,65.823001
+mutex,100000,12,16,0,1,8,65.036006
+mutex,100000,12,16,0,1,9,67.493915
+mutex,100000,12,16,0,1,10,28.195525
+mutex,100000,12,16,0,1,11,26.548047
+mutex,100000,12,16,0,1,12,25.734542
+mutex,100000,12,16,0,1,13,59.190937
+mutex,100000,12,16,0,1,14,26.707277
+mutex,100000,12,16,0,1,15,58.322326
+mutex,100000,12,16,0,1,16,25.314789
+mutex,100000,12,16,0,1,17,26.117217
+mutex,100000,12,16,0,1,18,27.588631
+mutex,100000,12,16,0,1,19,63.444914
+mutex,100000,12,16,0,1,20,26.786655
+mutex,100000,12,16,0,10,1,71.042121
+mutex,100000,12,16,0,10,2,27.277524
+mutex,100000,12,16,0,10,3,72.126652
+mutex,100000,12,16,0,10,4,63.780772
+mutex,100000,12,16,0,10,5,68.194342
+mutex,100000,12,16,0,10,6,72.069938
+mutex,100000,12,16,0,10,7,73.937514
+mutex,100000,12,16,0,10,8,65.037730
+mutex,100000,12,16,0,10,9,58.584139
+mutex,100000,12,16,0,10,10,29.730974
+mutex,100000,12,16,0,10,11,62.620640
+mutex,100000,12,16,0,10,12,72.795449
+mutex,100000,12,16,0,10,13,72.485216
+mutex,100000,12,16,0,10,14,59.744647
+mutex,100000,12,16,0,10,15,26.081060
+mutex,100000,12,16,0,10,16,60.495572
+mutex,100000,12,16,0,10,17,60.215881
+mutex,100000,12,16,0,10,18,31.849261
+mutex,100000,12,16,0,10,19,29.160064
+mutex,100000,12,16,0,10,20,63.503005
+mutex,100000,12,16,0,100,1,71.726513
+mutex,100000,12,16,0,100,2,57.622091
+mutex,100000,12,16,0,100,3,58.015099
+mutex,100000,12,16,0,100,4,31.634526
+mutex,100000,12,16,0,100,5,66.408900
+mutex,100000,12,16,0,100,6,30.377659
+mutex,100000,12,16,0,100,7,59.121475
+mutex,100000,12,16,0,100,8,73.506908
+mutex,100000,12,16,0,100,9,64.437938
+mutex,100000,12,16,0,100,10,29.725171
+mutex,100000,12,16,0,100,11,30.907742
+mutex,100000,12,16,0,100,12,68.262835
+mutex,100000,12,16,0,100,13,29.043563
+mutex,100000,12,16,0,100,14,27.501299
+mutex,100000,12,16,0,100,15,30.521881
+mutex,100000,12,16,0,100,16,28.460338
+mutex,100000,12,16,0,100,17,63.495574
+mutex,100000,12,16,0,100,18,69.051772
+mutex,100000,12,16,0,100,19,29.098613
+mutex,100000,12,16,0,100,20,60.169193
+mutex,100000,12,16,0,1000,1,26.423443
+mutex,100000,12,16,0,1000,2,66.274035
+mutex,100000,12,16,0,1000,3,59.944920
+mutex,100000,12,16,0,1000,4,28.083331
+mutex,100000,12,16,0,1000,5,25.816190
+mutex,100000,12,16,0,1000,6,73.379577
+mutex,100000,12,16,0,1000,7,64.675522
+mutex,100000,12,16,0,1000,8,72.039504
+mutex,100000,12,16,0,1000,9,55.506850
+mutex,100000,12,16,0,1000,10,62.174605
+mutex,100000,12,16,0,1000,11,28.170245
+mutex,100000,12,16,0,1000,12,59.736674
+mutex,100000,12,16,0,1000,13,24.913284
+mutex,100000,12,16,0,1000,14,28.439871
+mutex,100000,12,16,0,1000,15,28.219737
+mutex,100000,12,16,0,1000,16,63.872810
+mutex,100000,12,16,0,1000,17,26.118665
+mutex,100000,12,16,0,1000,18,28.458278
+mutex,100000,12,16,0,1000,19,31.192746
+mutex,100000,12,16,0,1000,20,63.194074
+mutex,100000,12,16,0,10000,1,72.017871
+mutex,100000,12,16,0,10000,2,32.070615
+mutex,100000,12,16,0,10000,3,65.879795
+mutex,100000,12,16,0,10000,4,73.240304
+mutex,100000,12,16,0,10000,5,71.604741
+mutex,100000,12,16,0,10000,6,30.864017
+mutex,100000,12,16,0,10000,7,27.312588
+mutex,100000,12,16,0,10000,8,55.428275
+mutex,100000,12,16,0,10000,9,29.863193
+mutex,100000,12,16,0,10000,10,62.445045
+mutex,100000,12,16,0,10000,11,31.034914
+mutex,100000,12,16,0,10000,12,64.872970
+mutex,100000,12,16,0,10000,13,58.913241
+mutex,100000,12,16,0,10000,14,58.598699
+mutex,100000,12,16,0,10000,15,70.741212
+mutex,100000,12,16,0,10000,16,66.813533
+mutex,100000,12,16,0,10000,17,66.032206
+mutex,100000,12,16,0,10000,18,26.937012
+mutex,100000,12,16,0,10000,19,28.771020
+mutex,100000,12,16,0,10000,20,59.246006
+mutex,100000,12,16,0,100000,1,58.438973
+mutex,100000,12,16,0,100000,2,28.344261
+mutex,100000,12,16,0,100000,3,66.366290
+mutex,100000,12,16,0,100000,4,63.088012
+mutex,100000,12,16,0,100000,5,27.520340
+mutex,100000,12,16,0,100000,6,72.498758
+mutex,100000,12,16,0,100000,7,67.071729
+mutex,100000,12,16,0,100000,8,30.131328
+mutex,100000,12,16,0,100000,9,63.015351
+mutex,100000,12,16,0,100000,10,33.043251
+mutex,100000,12,16,0,100000,11,64.143913
+mutex,100000,12,16,0,100000,12,67.067522
+mutex,100000,12,16,0,100000,13,60.432242
+mutex,100000,12,16,0,100000,14,63.022069
+mutex,100000,12,16,0,100000,15,64.538390
+mutex,100000,12,16,0,100000,16,27.867195
+mutex,100000,12,16,0,100000,17,72.362911
+mutex,100000,12,16,0,100000,18,26.452086
+mutex,100000,12,16,0,100000,19,66.605488
+mutex,100000,12,16,0,100000,20,63.807097
+mutex,100000,12,16,0,1000000,1,27.033758
+mutex,100000,12,16,0,1000000,2,27.104375
+mutex,100000,12,16,0,1000000,3,26.815605
+mutex,100000,12,16,0,1000000,4,25.426914
+mutex,100000,12,16,0,1000000,5,67.344479
+mutex,100000,12,16,0,1000000,6,30.980156
+mutex,100000,12,16,0,1000000,7,23.556894
+mutex,100000,12,16,0,1000000,8,73.733067
+mutex,100000,12,16,0,1000000,9,63.433615
+mutex,100000,12,16,0,1000000,10,64.449509
+mutex,100000,12,16,0,1000000,11,71.791497
+mutex,100000,12,16,0,1000000,12,67.163511
+mutex,100000,12,16,0,1000000,13,58.351679
+mutex,100000,12,16,0,1000000,14,63.490895
+mutex,100000,12,16,0,1000000,15,28.531682
+mutex,100000,12,16,0,1000000,16,64.597486
+mutex,100000,12,16,0,1000000,17,49.142636
+mutex,100000,12,16,0,1000000,18,59.347744
+mutex,100000,12,16,0,1000000,19,31.366228
+mutex,100000,12,16,0,1000000,20,53.857935
+chan,100000,12,16,0,0,1,38.387267
+chan,100000,12,16,0,0,2,40.695511
+chan,100000,12,16,0,0,3,38.056451
+chan,100000,12,16,0,0,4,39.189503
+chan,100000,12,16,0,0,5,38.115559
+chan,100000,12,16,0,0,6,38.914512
+chan,100000,12,16,0,0,7,39.186242
+chan,100000,12,16,0,0,8,39.682891
+chan,100000,12,16,0,0,9,38.529525
+chan,100000,12,16,0,0,10,39.661419
+chan,100000,12,16,0,0,11,38.460034
+chan,100000,12,16,0,0,12,37.538272
+chan,100000,12,16,0,0,13,39.090518
+chan,100000,12,16,0,0,14,38.287916
+chan,100000,12,16,0,0,15,37.840507
+chan,100000,12,16,0,0,16,37.050349
+chan,100000,12,16,0,0,17,38.259165
+chan,100000,12,16,0,0,18,38.648823
+chan,100000,12,16,0,0,19,37.956488
+chan,100000,12,16,0,0,20,39.368274
+chan,100000,12,16,0,1,1,244.806220
+chan,100000,12,16,0,1,2,246.192186
+chan,100000,12,16,0,1,3,241.355633
+chan,100000,12,16,0,1,4,229.670182
+chan,100000,12,16,0,1,5,231.743736
+chan,100000,12,16,0,1,6,225.936607
+chan,100000,12,16,0,1,7,229.870824
+chan,100000,12,16,0,1,8,226.309670
+chan,100000,12,16,0,1,9,224.064423
+chan,100000,12,16,0,1,10,227.456036
+chan,100000,12,16,0,1,11,234.299575
+chan,100000,12,16,0,1,12,226.880804
+chan,100000,12,16,0,1,13,241.609452
+chan,100000,12,16,0,1,14,228.660942
+chan,100000,12,16,0,1,15,224.780078
+chan,100000,12,16,0,1,16,236.069193
+chan,100000,12,16,0,1,17,230.071870
+chan,100000,12,16,0,1,18,280.321086
+chan,100000,12,16,0,1,19,269.781991
+chan,100000,12,16,0,1,20,249.190878
+chan,100000,12,16,0,10,1,238.110352
+chan,100000,12,16,0,10,2,229.389375
+chan,100000,12,16,0,10,3,225.675144
+chan,100000,12,16,0,10,4,226.683700
+chan,100000,12,16,0,10,5,237.703337
+chan,100000,12,16,0,10,6,255.762598
+chan,100000,12,16,0,10,7,256.385529
+chan,100000,12,16,0,10,8,257.469304
+chan,100000,12,16,0,10,9,261.668805
+chan,100000,12,16,0,10,10,262.550158
+chan,100000,12,16,0,10,11,261.757166
+chan,100000,12,16,0,10,12,262.076885
+chan,100000,12,16,0,10,13,266.594681
+chan,100000,12,16,0,10,14,263.436482
+chan,100000,12,16,0,10,15,262.448672
+chan,100000,12,16,0,10,16,277.893995
+chan,100000,12,16,0,10,17,316.660741
+chan,100000,12,16,0,10,18,311.421503
+chan,100000,12,16,0,10,19,291.090037
+chan,100000,12,16,0,10,20,280.623411
+chan,100000,12,16,0,100,1,254.239375
+chan,100000,12,16,0,100,2,255.349522
+chan,100000,12,16,0,100,3,249.129865
+chan,100000,12,16,0,100,4,245.681468
+chan,100000,12,16,0,100,5,252.472325
+chan,100000,12,16,0,100,6,245.742830
+chan,100000,12,16,0,100,7,250.709971
+chan,100000,12,16,0,100,8,252.882372
+chan,100000,12,16,0,100,9,261.449803
+chan,100000,12,16,0,100,10,247.307216
+chan,100000,12,16,0,100,11,247.572719
+chan,100000,12,16,0,100,12,246.774401
+chan,100000,12,16,0,100,13,250.962889
+chan,100000,12,16,0,100,14,253.925071
+chan,100000,12,16,0,100,15,312.207967
+chan,100000,12,16,0,100,16,281.918065
+chan,100000,12,16,0,100,17,269.286340
+chan,100000,12,16,0,100,18,274.761704
+chan,100000,12,16,0,100,19,251.652914
+chan,100000,12,16,0,100,20,263.383980
+chan,100000,12,16,0,1000,1,263.065192
+chan,100000,12,16,0,1000,2,267.390509
+chan,100000,12,16,0,1000,3,271.639800
+chan,100000,12,16,0,1000,4,269.317647
+chan,100000,12,16,0,1000,5,268.962515
+chan,100000,12,16,0,1000,6,254.723124
+chan,100000,12,16,0,1000,7,256.705568
+chan,100000,12,16,0,1000,8,254.688422
+chan,100000,12,16,0,1000,9,258.988341
+chan,100000,12,16,0,1000,10,245.354729
+chan,100000,12,16,0,1000,11,255.547300
+chan,100000,12,16,0,1000,12,263.331642
+chan,100000,12,16,0,1000,13,291.946065
+chan,100000,12,16,0,1000,14,264.717682
+chan,100000,12,16,0,1000,15,262.318736
+chan,100000,12,16,0,1000,16,251.711921
+chan,100000,12,16,0,1000,17,253.218195
+chan,100000,12,16,0,1000,18,246.260765
+chan,100000,12,16,0,1000,19,245.117863
+chan,100000,12,16,0,1000,20,267.226870
+chan,100000,12,16,0,10000,1,51.075551
+chan,100000,12,16,0,10000,2,51.945326
+chan,100000,12,16,0,10000,3,49.773682
+chan,100000,12,16,0,10000,4,52.947988
+chan,100000,12,16,0,10000,5,50.086055
+chan,100000,12,16,0,10000,6,51.183972
+chan,100000,12,16,0,10000,7,52.613085
+chan,100000,12,16,0,10000,8,51.612973
+chan,100000,12,16,0,10000,9,50.982747
+chan,100000,12,16,0,10000,10,51.144160
+chan,100000,12,16,0,10000,11,50.481050
+chan,100000,12,16,0,10000,12,52.024088
+chan,100000,12,16,0,10000,13,55.720277
+chan,100000,12,16,0,10000,14,55.397227
+chan,100000,12,16,0,10000,15,52.262806
+chan,100000,12,16,0,10000,16,53.152518
+chan,100000,12,16,0,10000,17,52.117688
+chan,100000,12,16,0,10000,18,50.670164
+chan,100000,12,16,0,10000,19,51.055940
+chan,100000,12,16,0,10000,20,49.194750
+chan,100000,12,16,0,100000,1,44.852664
+chan,100000,12,16,0,100000,2,44.510570
+chan,100000,12,16,0,100000,3,46.368772
+chan,100000,12,16,0,100000,4,46.699490
+chan,100000,12,16,0,100000,5,45.633285
+chan,100000,12,16,0,100000,6,47.646570
+chan,100000,12,16,0,100000,7,44.324716
+chan,100000,12,16,0,100000,8,45.521988
+chan,100000,12,16,0,100000,9,45.018052
+chan,100000,12,16,0,100000,10,44.451747
+chan,100000,12,16,0,100000,11,44.483734
+chan,100000,12,16,0,100000,12,43.787662
+chan,100000,12,16,0,100000,13,43.002091
+chan,100000,12,16,0,100000,14,44.294262
+chan,100000,12,16,0,100000,15,42.543931
+chan,100000,12,16,0,100000,16,46.092728
+chan,100000,12,16,0,100000,17,44.517706
+chan,100000,12,16,0,100000,18,44.056989
+chan,100000,12,16,0,100000,19,44.959703
+chan,100000,12,16,0,100000,20,44.537865
+chan,100000,12,16,0,1000000,1,43.895615
+chan,100000,12,16,0,1000000,2,46.891380
+chan,100000,12,16,0,1000000,3,42.973695
+chan,100000,12,16,0,1000000,4,43.946141
+chan,100000,12,16,0,1000000,5,42.322749
+chan,100000,12,16,0,1000000,6,43.043793
+chan,100000,12,16,0,1000000,7,43.700733
+chan,100000,12,16,0,1000000,8,45.629581
+chan,100000,12,16,0,1000000,9,46.633610
+chan,100000,12,16,0,1000000,10,43.559333
+chan,100000,12,16,0,1000000,11,41.881462
+chan,100000,12,16,0,1000000,12,43.293334
+chan,100000,12,16,0,1000000,13,42.060830
+chan,100000,12,16,0,1000000,14,44.025868
+chan,100000,12,16,0,1000000,15,41.839037
+chan,100000,12,16,0,1000000,16,42.271828
+chan,100000,12,16,0,1000000,17,41.149580
+chan,100000,12,16,0,1000000,18,41.767419
+chan,100000,12,16,0,1000000,19,42.633534
+chan,100000,12,16,0,1000000,20,42.521522
diff --git a/bench/block_linux_x86_64.png b/bench/block_linux_x86_64.png
new file mode 100644
index 0000000..f1f9f2a
Binary files /dev/null and b/bench/block_linux_x86_64.png differ
diff --git a/bench/csv.go b/bench/csv.go
index 56fccd0..7a504c9 100644
--- a/bench/csv.go
+++ b/bench/csv.go
@@ -6,13 +6,14 @@ import (
 )
 
 type Record struct {
-	Workload         string
-	Ops              int
-	Goroutines       int
-	Depth            int
 	Blockprofilerate int
-	Run              int
+	Bufsize          int
+	Depth            int
 	Duration         time.Duration
+	Goroutines       int
+	Ops              int
+	Run              int
+	Workload         string
 }
 
 type Column struct {
@@ -33,6 +34,9 @@ var Columns = []Column{
 	{"depth", func(r *Record) (string, error) {
 		return fmt.Sprintf("%d", r.Depth), nil
 	}},
+	{"bufsize", func(r *Record) (string, error) {
+		return fmt.Sprintf("%d", r.Bufsize), nil
+	}},
 	{"blockprofilerate", func(r *Record) (string, error) {
 		return fmt.Sprintf("%d", r.Blockprofilerate), nil
 	}},
diff --git a/bench/main.go b/bench/main.go
index a6491da..8869514 100644
--- a/bench/main.go
+++ b/bench/main.go
@@ -32,11 +32,12 @@ func run() error {
 func leader() error {
 	var (
 		blockprofilerates = flagIntSlice("blockprofilerates", []int{0, 1, 10, 100, 1000, 10000, 100000, 1000000}, "The runtime.SetBlockProfileRate() values to benchmark.")
-		workloads         = flagStringSlice("workloads", []string{"mutex", "chan"}, "The workloads to benchmark.")
-		ops               = flag.Int("ops", 1000, "The number of operations to perform for each workload.")
-		goroutines        = flagIntSlice("goroutines", []int{runtime.NumCPU()}, "The number of goroutine values to use for each workloads.")
-		runs              = flag.Int("runs", 3, "The number of times to repeat the same benchmark to understand variance.")
+		bufsizes          = flagIntSlice("bufsizes", []int{0, 64}, "The buffer sizes to use for channel operations (not applicable to all workloads).")
 		depths            = flagIntSlice("depths", []int{2, 4, 8, 16, 32}, "The different frame depths values to use for each workload.")
+		goroutines        = flagIntSlice("goroutines", []int{runtime.NumCPU()}, "The number of goroutine values to use for each workloads.")
+		ops               = flag.Int("ops", 1000, "The number of operations to perform for each workload.")
+		runs              = flag.Int("runs", 3, "The number of times to repeat the same benchmark to understand variance.")
+		workloads         = flagStringSlice("workloads", []string{"mutex", "chan"}, "The workloads to benchmark.")
 	)
 	flag.Parse()
 
@@ -48,26 +49,29 @@ func leader() error {
 		for _, goroutine := range *goroutines {
 			for _, blockprofilerate := range *blockprofilerates {
 				for _, depth := range *depths {
-					for run := 1; run <= *runs; run++ {
-						cmd := exec.Command(os.Args[0],
-							"-run", fmt.Sprintf("%d", run),
-							"-blockprofilerate", fmt.Sprintf("%d", blockprofilerate),
-							"-ops", fmt.Sprintf("%d", *ops),
-							"-goroutines", fmt.Sprintf("%d", goroutine),
-							"-depth", fmt.Sprintf("%d", depth),
-							"-workload", workload,
-						)
+					for _, bufsize := range *bufsizes {
+						for run := 1; run <= *runs; run++ {
+							cmd := exec.Command(os.Args[0],
+								"-run", fmt.Sprintf("%d", run),
+								"-blockprofilerate", fmt.Sprintf("%d", blockprofilerate),
+								"-ops", fmt.Sprintf("%d", *ops),
+								"-goroutines", fmt.Sprintf("%d", goroutine),
+								"-depth", fmt.Sprintf("%d", depth),
+								"-bufsize", fmt.Sprintf("%d", bufsize),
+								"-workload", workload,
+							)
 
-						buf := &bytes.Buffer{}
-						cmd.Stdout = buf
-						cmd.Stderr = os.Stderr
-						cmd.Env = append(cmd.Env, "WORKER=yeah")
+							buf := &bytes.Buffer{}
+							cmd.Stdout = buf
+							cmd.Stderr = os.Stderr
+							cmd.Env = append(cmd.Env, "WORKER=yeah")
 
-						if err := cmd.Run(); err != nil {
-							return err
+							if err := cmd.Run(); err != nil {
+								return err
+							}
+
+							buf.WriteTo(os.Stdout)
 						}
-
-						buf.WriteTo(os.Stdout)
 					}
 				}
 			}
@@ -79,13 +83,14 @@ func leader() error {
 
 func worker() error {
 	var (
-		run              = flag.Int("run", 1, "The number of run. Has no impact on the benchmark, but gets included in the csv output line.")
 		blockprofilerate = flag.Int("blockprofilerate", 1, "The block profile rate to use.")
-		workload         = flag.String("workload", "mutex", "The workload to simulate.")
-		out              = flag.String("blockprofile", "", "Path to a file for writing the block profile.")
+		bufsize          = flag.Int("bufsize", 0, "The buffer size to use for channel operations (not applicable to all workloads).")
 		depth            = flag.Int("depth", 16, "The stack depth at which to perform blocking events.")
-		ops              = flag.Int("ops", 100000, "The number of operations to perform.")
 		goroutines       = flag.Int("goroutines", runtime.NumCPU(), "The number of goroutines to utilize.")
+		ops              = flag.Int("ops", 100000, "The number of operations to perform.")
+		out              = flag.String("blockprofile", "", "Path to a file for writing the block profile.")
+		run              = flag.Int("run", 1, "The number of run. Has no impact on the benchmark, but gets included in the csv output line.")
+		workload         = flag.String("workload", "mutex", "The workload to simulate.")
 	)
 	flag.Parse()
 
@@ -100,7 +105,7 @@ func worker() error {
 			return err
 		}
 	case "chan":
-		if err := chanWorkload(*goroutines, *ops, *depth); err != nil {
+		if err := chanWorkload(*goroutines, *ops, *depth, *bufsize); err != nil {
 			return err
 		}
 	default:
@@ -121,13 +126,14 @@ func worker() error {
 
 	cw := csv.NewWriter(os.Stdout)
 	record, err := (&Record{
-		Workload:         *workload,
-		Ops:              *ops,
-		Goroutines:       *goroutines,
-		Depth:            *depth,
 		Blockprofilerate: *blockprofilerate,
-		Run:              *run,
+		Bufsize:          *bufsize,
+		Depth:            *depth,
 		Duration:         duration,
+		Goroutines:       *goroutines,
+		Ops:              *ops,
+		Run:              *run,
+		Workload:         *workload,
 	}).MarshalRecord()
 	if err != nil {
 		return err
diff --git a/bench/run.sh b/bench/run.sh
index 66db4db..b3de648 100755
--- a/bench/run.sh
+++ b/bench/run.sh
@@ -2,10 +2,20 @@ os_arch() {
   echo "$(uname | tr '[:upper:]' '[:lower:]')_$(uname -m)"
 }
 
+#go run . \
+  #-workloads mutex,chan \
+  #-ops 100000 \
+  #-blockprofilerates 0,1,10,100,1000,10000,100000,1000000 \
+  #-runs 20 \
+  #-bufsizes 0 \
+  #-depths 16 \
+  #> "block_$(os_arch).csv"
+
 go run . \
-  -workloads mutex,chan \
+  -workloads chan \
   -ops 100000 \
   -blockprofilerates 0,1,10,100,1000,10000,100000,1000000 \
+  -bufsizes 128 \
   -runs 20 \
   -depths 16 \
-  > "block_$(os_arch).csv"
+  > "block_bufchan_$(os_arch).csv"
diff --git a/bench/workloads.go b/bench/workloads.go
index 537e1bd..9315dfc 100644
--- a/bench/workloads.go
+++ b/bench/workloads.go
@@ -5,14 +5,14 @@ import (
 	"sync"
 )
 
-func chanWorkload(goroutines, ops, depth int) error {
+func chanWorkload(goroutines, ops, depth, bufsize int) error {
 	if goroutines%2 != 0 {
 		return fmt.Errorf("bad goroutines: %d: must be a multiple of 2", goroutines)
 	}
 
 	wg := &sync.WaitGroup{}
 	for j := 0; j < goroutines/2; j++ {
-		ch := make(chan struct{})
+		ch := make(chan struct{}, bufsize)
 		wg.Add(1)
 		go atStackDepth(depth, func() {
 			defer wg.Done()