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
fib_recursive 7 879 0.008
fib_iter 8 894 0.008
modules 2 179 0.010
loops 4 306 0.012
asdl_generated 11 372 0.029
parse 22 775 0.029
scoped_resource 43 1,139 0.038
containers 8 110 0.070
tuple_return_value 14 184 0.073
files 8 73 0.103
length 40 195 0.205
classes 3 16 0.206
cartesian 87 326 0.266
escape 103 344 0.298
cgi 268 513 0.523
varargs 8 12 0.650
control_flow 212 101 2.108

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
modules 3.5 7.1 0.50
parse 3.9 7.7 0.51
cartesian 3.5 6.9 0.51
escape 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_iter 3.8 7.1 0.54
fib_recursive 3.8 7.1 0.54
loops 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.4 47.8 0.59
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 12 0.000
cgi 0 8 0.000
classes 0 16 0.000
control_flow 0 12 0.000
fib_iter 0 4 0.000
files 0 4 0.000
loops 0 4 0.000
modules 0 4 0.000
containers 8 25 0.315
length 4 12 0.335
cartesian 4 8 0.496
tuple_return_value 7 8 0.845
fib_recursive 4 4 0.904
parse 7 8 0.937
scoped_resource 4 4 0.972
varargs 58 60 0.976
escape 4 4 0.987

raw benchmark files