mycpp Code Generation

Measure the speedup from mycpp, and the resource usage.

Source code: oil/mycpp/examples

User Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 23 0.000
fib_recursive 7 887 0.008
fib_iter 8 894 0.009
modules 2 182 0.010
loops 4 288 0.013
asdl_generated 7 379 0.019
containers 4 116 0.034
parse 29 782 0.037
scoped_resource 41 1,044 0.039
files 8 77 0.102
tuple_return_value 20 180 0.112
length 37 201 0.184
cartesian 84 336 0.250
escape 102 350 0.290
cgi 265 515 0.515
varargs 21 16 1.299
control_flow 214 115 1.863

Max Resident Set Size (MB)

Lower ratios are better. We use MB (powers of 10), not MiB (powers of 2).

example name C++ Python C++ : Python
classes 4.3 10.7 0.40
parse 3.8 7.6 0.50
loops 3.7 7.2 0.51
scoped_resource 3.7 7.1 0.52
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
modules 3.8 7.1 0.54
asdl_generated 3.8 6.9 0.55
control_flow 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
files 3.9 6.9 0.57
containers 28.5 47.7 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
loops 0 4 0.000
modules 0 4 0.000
parse 0 4 0.000
tuple_return_value 0 12 0.000
classes 3 8 0.418
containers 12 24 0.499
varargs 46 56 0.817
fib_recursive 4 4 0.895
asdl_generated 4 4 0.909
cartesian 8 8 0.999
cgi 4 4 1.006
length 8 8 1.020
escape 4 4 1.021
scoped_resource 7 4 1.861
control_flow 0 0 NA
fib_iter 0 0 NA
files 0 0 NA

raw benchmark files