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
loops 0 290 0.000
modules 0 179 0.000
fib_iter 8 903 0.008
fib_recursive 11 888 0.012
asdl_generated 7 370 0.019
parse 30 759 0.039
scoped_resource 43 1,058 0.040
tuple_return_value 20 184 0.109
files 8 63 0.121
classes 3 23 0.139
containers 15 99 0.156
length 44 204 0.216
cartesian 87 328 0.264
escape 102 349 0.292
varargs 8 20 0.400
cgi 265 515 0.513
control_flow 205 113 1.807

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
cartesian 3.5 6.9 0.51
fib_recursive 3.5 6.9 0.51
parse 3.9 7.6 0.52
asdl_generated 3.7 7.1 0.52
fib_iter 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
modules 3.7 6.9 0.53
loops 3.8 7.1 0.54
files 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.6 47.7 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 8 0.000
containers 0 36 0.000
fib_iter 0 4 0.000
fib_recursive 0 8 0.000
files 0 12 0.000
length 0 8 0.000
parse 0 4 0.000
tuple_return_value 0 8 0.000
modules 2 12 0.150
asdl_generated 4 8 0.448
escape 4 8 0.513
loops 4 4 0.908
cartesian 4 4 0.984
cgi 4 4 1.003
scoped_resource 4 4 1.061
varargs 60 52 1.154
control_flow 4 0 inf

raw benchmark files