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
modules 1 128 0.008
fib_iter 5 636 0.009
loops 2 206 0.012
fib_recursive 7 619 0.012
scoped_resource 7 530 0.013
asdl_generated 7 271 0.026
parse 20 551 0.036
files 5 51 0.090
containers 7 70 0.098
tuple_return_value 13 131 0.102
classes 2 15 0.129
length 25 141 0.179
cartesian 61 241 0.254
escape 75 251 0.298
cgi 187 358 0.523
varargs 18 19 0.960
control_flow 146 77 1.898

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 4.6 11.0 0.42
parse 3.9 7.7 0.50
cartesian 3.7 7.2 0.51
scoped_resource 3.8 7.3 0.52
escape 3.7 7.0 0.53
modules 3.8 7.2 0.53
cgi 3.8 7.2 0.53
asdl_generated 3.7 7.0 0.53
files 3.9 7.2 0.53
loops 4.0 7.4 0.54
length 3.8 7.0 0.54
fib_recursive 3.9 7.1 0.54
fib_iter 3.8 7.0 0.54
tuple_return_value 3.8 7.0 0.55
control_flow 3.9 7.0 0.56
containers 28.5 47.8 0.60
varargs 5.6 7.1 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
cgi 0 4 0.000
classes 0 4 0.000
control_flow 0 4 0.000
fib_recursive 0 4 0.000
loops 0 4 0.000
modules 0 4 0.000
parse 0 4 0.000
tuple_return_value 0 4 0.000
containers 3 21 0.166
varargs 9 11 0.800
length 4 4 1.044
cartesian 0 0 NA
escape 0 0 NA
fib_iter 0 0 NA
files 0 0 NA
scoped_resource 0 0 NA

raw benchmark files