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,100000,12,16,0,2,50.078913
-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
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-chan,100000,12,16,10000,18,66.301375
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-chan,100000,12,16,100000,6,52.502319
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-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
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+mutex,100000,12,16,0,3,52.666698
+mutex,100000,12,16,0,4,50.588831
+mutex,100000,12,16,0,5,42.993016
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+mutex,100000,12,16,0,8,50.589187
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+mutex,100000,12,16,1,3,50.284105
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+mutex,100000,12,16,1,6,63.688515
+mutex,100000,12,16,1,7,63.627604
+mutex,100000,12,16,1,8,39.704634
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+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

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
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-mutex,100000,12,16,0,7,54.776629
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-mutex,100000,12,16,0,10,42.572507
-mutex,100000,12,16,0,11,53.737376
-mutex,100000,12,16,0,12,71.172542
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-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
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-mutex,100000,12,16,1,7,42.721265
-mutex,100000,12,16,1,8,45.196839
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-mutex,100000,12,16,1,10,51.126792
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-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
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+chan,100000,12,16,0,10000,9,50.982747
+chan,100000,12,16,0,10000,10,51.144160
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+chan,100000,12,16,0,10000,12,52.024088
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+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

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.")
-		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

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()