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 27 0.000
modules 0 170 0.000
fib_iter 8 909 0.008
fib_recursive 11 881 0.013
loops 4 297 0.013
asdl_generated 11 380 0.029
parse 30 781 0.039
scoped_resource 47 1,022 0.046
containers 8 113 0.069
files 7 76 0.099
tuple_return_value 20 190 0.106
length 41 208 0.197
cartesian 79 322 0.244
escape 95 343 0.276
cgi 265 502 0.528
varargs 17 16 1.035
control_flow 210 110 1.910

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 4.5 10.8 0.41
parse 3.8 7.7 0.49
fib_recursive 3.5 7.1 0.50
scoped_resource 3.7 7.2 0.51
asdl_generated 3.5 6.9 0.51
tuple_return_value 3.7 7.1 0.52
cgi 3.7 6.9 0.53
loops 3.8 7.1 0.54
cartesian 3.7 6.8 0.54
escape 3.7 6.8 0.54
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.7 47.6 0.60
varargs 5.5 6.7 0.82

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
control_flow 0 4 0.000
parse 0 12 0.000
scoped_resource 0 8 0.000
tuple_return_value 0 12 0.000
modules 2 12 0.155
cgi 4 12 0.336
containers 8 20 0.385
classes 3 4 0.850
varargs 50 56 0.887
cartesian 12 12 0.989
escape 12 12 0.989
length 4 4 1.022
asdl_generated 0 0 NA
fib_iter 0 0 NA
fib_recursive 0 0 NA
files 0 0 NA
loops 0 0 NA

raw benchmark files