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 0 315 0.000
fib_recursive 7 934 0.008
fib_iter 8 888 0.008
modules 2 179 0.011
asdl_generated 11 405 0.026
parse 25 771 0.033
containers 4 116 0.033
scoped_resource 47 1,036 0.046
files 7 68 0.108
tuple_return_value 20 187 0.108
length 40 204 0.196
classes 3 15 0.211
cartesian 86 318 0.272
escape 98 343 0.285
cgi 265 564 0.469
control_flow 210 111 1.896
varargs 35 12 2.913

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 10.6 0.42
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
cgi 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
escape 3.7 6.9 0.53
files 3.7 6.9 0.53
loops 3.8 7.1 0.54
asdl_generated 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
fib_iter 3.8 6.8 0.56
tuple_return_value 3.8 6.7 0.57
containers 28.5 47.7 0.60
varargs 5.6 6.8 0.83

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
classes 0 15 0.000
control_flow 0 4 0.000
fib_iter 0 4 0.000
files 0 8 0.000
modules 0 4 0.000
scoped_resource 0 12 0.000
tuple_return_value 0 4 0.000
cartesian 4 12 0.345
fib_recursive 4 8 0.450
varargs 31 60 0.518
containers 12 20 0.580
loops 4 4 0.931
cgi 4 4 0.994
length 4 4 0.999
escape 8 8 1.022
parse 4 4 1.048

raw benchmark files