update bench

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 : ).
+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!

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

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,100000,12,16,0,1,42.438360
-mutex,100000,12,16,0,2,50.078913
+mutex,100000,12,16,0,2,56.538516
-mutex,100000,12,16,0,3,47.927359
+mutex,100000,12,16,0,3,52.666698
-mutex,100000,12,16,0,4,59.656092
+mutex,100000,12,16,0,4,50.588831
-mutex,100000,12,16,0,5,50.291591
+mutex,100000,12,16,0,5,42.993016
-mutex,100000,12,16,0,6,65.488211
+mutex,100000,12,16,0,6,47.262495
-mutex,100000,12,16,0,7,58.640640
+mutex,100000,12,16,0,7,42.614335
-mutex,100000,12,16,0,8,65.101864
+mutex,100000,12,16,0,8,50.589187
-mutex,100000,12,16,0,9,49.520904
+mutex,100000,12,16,0,9,53.232434
-mutex,100000,12,16,0,10,65.811132
+mutex,100000,12,16,0,10,64.352130
-mutex,100000,12,16,0,11,42.707750
+mutex,100000,12,16,0,11,52.387284
-mutex,100000,12,16,0,12,64.331059
+mutex,100000,12,16,0,12,65.223335
-mutex,100000,12,16,0,13,63.190112
+mutex,100000,12,16,0,13,50.572637
-mutex,100000,12,16,0,14,64.777749
+mutex,100000,12,16,0,14,49.732913
-mutex,100000,12,16,0,15,39.752394
+mutex,100000,12,16,0,15,46.789851
-mutex,100000,12,16,0,16,47.413504
+mutex,100000,12,16,0,16,42.016991
-mutex,100000,12,16,0,17,43.184214
+mutex,100000,12,16,0,17,50.339128
-mutex,100000,12,16,0,18,65.530894
+mutex,100000,12,16,0,18,52.286547
-mutex,100000,12,16,0,19,50.728438
+mutex,100000,12,16,0,19,50.750858
-mutex,100000,12,16,0,20,58.386635
+mutex,100000,12,16,0,20,62.743093
-mutex,100000,12,16,1,1,50.944243
+mutex,100000,12,16,1,1,43.440872
-mutex,100000,12,16,1,2,42.542311
+mutex,100000,12,16,1,2,49.936582
-mutex,100000,12,16,1,3,50.638888
+mutex,100000,12,16,1,3,50.284105
-mutex,100000,12,16,1,4,48.546566
+mutex,100000,12,16,1,4,58.646662
-mutex,100000,12,16,1,5,40.317764
+mutex,100000,12,16,1,5,63.336982
-mutex,100000,12,16,1,6,65.192313
+mutex,100000,12,16,1,6,63.688515
-mutex,100000,12,16,1,7,52.266073
+mutex,100000,12,16,1,7,63.627604
-mutex,100000,12,16,1,8,46.385730
+mutex,100000,12,16,1,8,39.704634
-mutex,100000,12,16,1,9,52.624183
+mutex,100000,12,16,1,9,43.121722
-mutex,100000,12,16,1,10,45.297780
+mutex,100000,12,16,1,10,46.115743
-mutex,100000,12,16,1,11,60.336353
+mutex,100000,12,16,1,11,50.286809
-mutex,100000,12,16,1,12,52.750945
+mutex,100000,12,16,1,12,47.840831
-mutex,100000,12,16,1,13,47.256072
+mutex,100000,12,16,1,13,62.910580
-mutex,100000,12,16,1,14,56.113491
+mutex,100000,12,16,1,14,51.057369
-mutex,100000,12,16,1,15,59.158761
+mutex,100000,12,16,1,15,54.046803
-mutex,100000,12,16,1,16,43.212372
+mutex,100000,12,16,1,16,48.035078
-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
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bench/block_linux_x86_64.csv

@@ -1,321 +1,321 @@
-workload,ops,goroutines,depth,blockprofilerate,run,ms
+workload,ops,goroutines,depth,bufsize,blockprofilerate,run,ms
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-mutex,100000,12,16,100000,7,52.981606
+mutex,100000,12,16,0,100000,7,67.071729
-mutex,100000,12,16,100000,8,66.005290
+mutex,100000,12,16,0,100000,8,30.131328
-mutex,100000,12,16,100000,9,54.005082
+mutex,100000,12,16,0,100000,9,63.015351
-mutex,100000,12,16,100000,10,59.296837
+mutex,100000,12,16,0,100000,10,33.043251
-mutex,100000,12,16,100000,11,57.321105
+mutex,100000,12,16,0,100000,11,64.143913
-mutex,100000,12,16,100000,12,39.236022
+mutex,100000,12,16,0,100000,12,67.067522
-mutex,100000,12,16,100000,13,46.842409
+mutex,100000,12,16,0,100000,13,60.432242
-mutex,100000,12,16,100000,14,48.876541
+mutex,100000,12,16,0,100000,14,63.022069
-mutex,100000,12,16,100000,15,54.476928
+mutex,100000,12,16,0,100000,15,64.538390
-mutex,100000,12,16,100000,16,41.977606
+mutex,100000,12,16,0,100000,16,27.867195
-mutex,100000,12,16,100000,17,44.306466
+mutex,100000,12,16,0,100000,17,72.362911
-mutex,100000,12,16,100000,18,38.533324
+mutex,100000,12,16,0,100000,18,26.452086
-mutex,100000,12,16,100000,19,59.002396
+mutex,100000,12,16,0,100000,19,66.605488
-mutex,100000,12,16,100000,20,37.630217
+mutex,100000,12,16,0,100000,20,63.807097
-mutex,100000,12,16,1000000,1,58.936943
+mutex,100000,12,16,0,1000000,1,27.033758
-mutex,100000,12,16,1000000,2,48.886314
+mutex,100000,12,16,0,1000000,2,27.104375
-mutex,100000,12,16,1000000,3,51.623382
+mutex,100000,12,16,0,1000000,3,26.815605
-mutex,100000,12,16,1000000,4,42.478771
+mutex,100000,12,16,0,1000000,4,25.426914
-mutex,100000,12,16,1000000,5,51.136114
+mutex,100000,12,16,0,1000000,5,67.344479
-mutex,100000,12,16,1000000,6,42.311880
+mutex,100000,12,16,0,1000000,6,30.980156
-mutex,100000,12,16,1000000,7,40.123242
+mutex,100000,12,16,0,1000000,7,23.556894
-mutex,100000,12,16,1000000,8,61.506757
+mutex,100000,12,16,0,1000000,8,73.733067
-mutex,100000,12,16,1000000,9,46.138125
+mutex,100000,12,16,0,1000000,9,63.433615
-mutex,100000,12,16,1000000,10,60.063713
+mutex,100000,12,16,0,1000000,10,64.449509
-mutex,100000,12,16,1000000,11,51.938390
+mutex,100000,12,16,0,1000000,11,71.791497
-mutex,100000,12,16,1000000,12,59.009405
+mutex,100000,12,16,0,1000000,12,67.163511
-mutex,100000,12,16,1000000,13,59.361775
+mutex,100000,12,16,0,1000000,13,58.351679
-mutex,100000,12,16,1000000,14,46.425741
+mutex,100000,12,16,0,1000000,14,63.490895
-mutex,100000,12,16,1000000,15,65.379034
+mutex,100000,12,16,0,1000000,15,28.531682
-mutex,100000,12,16,1000000,16,42.358144
+mutex,100000,12,16,0,1000000,16,64.597486
-mutex,100000,12,16,1000000,17,48.270702
+mutex,100000,12,16,0,1000000,17,49.142636
-mutex,100000,12,16,1000000,18,58.594512
+mutex,100000,12,16,0,1000000,18,59.347744
-mutex,100000,12,16,1000000,19,58.858838
+mutex,100000,12,16,0,1000000,19,31.366228
-mutex,100000,12,16,1000000,20,48.624175
+mutex,100000,12,16,0,1000000,20,53.857935
-chan,100000,12,16,0,1,39.583695
+chan,100000,12,16,0,0,1,38.387267
-chan,100000,12,16,0,2,37.679132
+chan,100000,12,16,0,0,2,40.695511
-chan,100000,12,16,0,3,38.187174
+chan,100000,12,16,0,0,3,38.056451
-chan,100000,12,16,0,4,37.583032
+chan,100000,12,16,0,0,4,39.189503
-chan,100000,12,16,0,5,38.254751
+chan,100000,12,16,0,0,5,38.115559
-chan,100000,12,16,0,6,38.282791
+chan,100000,12,16,0,0,6,38.914512
-chan,100000,12,16,0,7,37.311311
+chan,100000,12,16,0,0,7,39.186242
-chan,100000,12,16,0,8,39.065550
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-chan,100000,12,16,0,9,39.352942
+chan,100000,12,16,0,0,9,38.529525
-chan,100000,12,16,0,10,38.033625
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-chan,100000,12,16,0,11,36.103957
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-chan,100000,12,16,0,12,38.006286
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-chan,100000,12,16,0,13,37.920147
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-chan,100000,12,16,0,14,37.422002
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-chan,100000,12,16,0,15,38.662770
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-chan,100000,12,16,0,16,38.917157
+chan,100000,12,16,0,0,16,37.050349
-chan,100000,12,16,0,17,38.162281
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-chan,100000,12,16,0,18,36.622740
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-chan,100000,12,16,0,19,37.501210
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-chan,100000,12,16,0,20,38.567450
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-chan,100000,12,16,1,1,239.522848
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-chan,100000,12,16,1,2,235.174459
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-chan,100000,12,16,1,3,289.102895
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-chan,100000,12,16,1,4,304.759576
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-chan,100000,12,16,1,5,270.597788
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-chan,100000,12,16,1,6,232.870697
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-chan,100000,12,16,1,7,242.890884
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-chan,100000,12,16,1,8,239.778873
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-chan,100000,12,16,1,9,244.697600
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-chan,100000,12,16,1,10,246.511364
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-chan,100000,12,16,1,11,242.254596
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-chan,100000,12,16,1,12,295.518766
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-chan,100000,12,16,1,13,273.704467
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-chan,100000,12,16,1,14,269.577038
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-chan,100000,12,16,1,15,249.510203
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-chan,100000,12,16,1,16,247.081444
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-chan,100000,12,16,1,17,246.112748
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-chan,100000,12,16,1,20,252.015624
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-chan,100000,12,16,10,3,301.658927
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-chan,100000,12,16,10,4,283.065009
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-chan,100000,12,16,10,10,253.044736
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-chan,100000,12,16,10,12,265.530961
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-chan,100000,12,16,10,16,250.880162
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-chan,100000,12,16,10,20,278.538039
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-chan,100000,12,16,100,1,368.924255
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-chan,100000,12,16,100,2,436.448880
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-chan,100000,12,16,100,3,368.338030
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-chan,100000,12,16,100,4,338.504789
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-chan,100000,12,16,100,5,315.762495
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-chan,100000,12,16,100,12,278.013383
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-chan,100000,12,16,100,13,283.556601
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-chan,100000,12,16,100,14,278.349127
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-chan,100000,12,16,100,15,268.148128
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-chan,100000,12,16,100,16,326.397703
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-chan,100000,12,16,1000,10,254.779584
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-chan,100000,12,16,1000,11,254.238633
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-chan,100000,12,16,1000,12,276.546223
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-chan,100000,12,16,1000,13,286.325175
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-chan,100000,12,16,1000,14,315.581001
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-chan,100000,12,16,1000,16,278.434399
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-chan,100000,12,16,1000,17,268.423848
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-chan,100000,12,16,1000,19,271.163857
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-chan,100000,12,16,1000,20,265.004099
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-chan,100000,12,16,10000,1,56.527303
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-chan,100000,12,16,10000,2,52.379462
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-chan,100000,12,16,10000,3,55.556967
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-chan,100000,12,16,10000,4,54.407372
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-chan,100000,12,16,10000,5,53.980889
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-chan,100000,12,16,10000,6,54.451175
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-chan,100000,12,16,10000,7,52.703826
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-chan,100000,12,16,10000,8,54.131237
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-chan,100000,12,16,10000,9,54.835949
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-chan,100000,12,16,10000,10,54.939144
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-chan,100000,12,16,10000,11,56.151014
+chan,100000,12,16,0,10000,11,50.481050
-chan,100000,12,16,10000,12,54.041913
+chan,100000,12,16,0,10000,12,52.024088
-chan,100000,12,16,10000,13,53.736085
+chan,100000,12,16,0,10000,13,55.720277
-chan,100000,12,16,10000,14,56.427794
+chan,100000,12,16,0,10000,14,55.397227
-chan,100000,12,16,10000,15,52.839846
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-chan,100000,12,16,10000,16,55.239513
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-chan,100000,12,16,10000,17,57.065581
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-chan,100000,12,16,10000,20,50.203941
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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
 	}},

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.")
+		bufsizes          = flagIntSlice("bufsizes", []int{0, 64}, "The buffer sizes to use for channel operations (not applicable to all workloads).")
-		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.")
 		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++ {
+					for _, bufsize := range *bufsizes {
-						cmd := exec.Command(os.Args[0],
+						for run := 1; run <= *runs; run++ {
-							"-run", fmt.Sprintf("%d", run),
+							cmd := exec.Command(os.Args[0],
-							"-blockprofilerate", fmt.Sprintf("%d", blockprofilerate),
+								"-run", fmt.Sprintf("%d", run),
-							"-ops", fmt.Sprintf("%d", *ops),
+								"-blockprofilerate", fmt.Sprintf("%d", blockprofilerate),
-							"-goroutines", fmt.Sprintf("%d", goroutine),
+								"-ops", fmt.Sprintf("%d", *ops),
-							"-depth", fmt.Sprintf("%d", depth),
+								"-goroutines", fmt.Sprintf("%d", goroutine),
-							"-workload", workload,
+								"-depth", fmt.Sprintf("%d", depth),
-						)
+								"-bufsize", fmt.Sprintf("%d", bufsize),
+								"-workload", workload,
+							)
 
-						buf := &bytes.Buffer{}
+							buf := &bytes.Buffer{}
-						cmd.Stdout = buf
+							cmd.Stdout = buf
-						cmd.Stderr = os.Stderr
+							cmd.Stderr = os.Stderr
-						cmd.Env = append(cmd.Env, "WORKER=yeah")
+							cmd.Env = append(cmd.Env, "WORKER=yeah")
 
-						if err := cmd.Run(); err != nil {
+							if err := cmd.Run(); err != nil {
-							return err
+								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.")
+		bufsize          = flag.Int("bufsize", 0, "The buffer size to use for channel operations (not applicable to all workloads).")
-		out              = flag.String("blockprofile", "", "Path to a file for writing the block profile.")
 		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

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"

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()