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_iter 8 890 0.009
modules 2 184 0.012
fib_recursive 11 895 0.012
loops 4 293 0.013
asdl_generated 11 378 0.028
containers 4 114 0.033
parse 29 778 0.038
scoped_resource 44 1,039 0.042
files 7 71 0.104
tuple_return_value 20 190 0.106
length 37 204 0.179
classes 3 15 0.213
cartesian 81 326 0.248
escape 104 358 0.291
cgi 265 514 0.516
varargs 15 23 0.668
control_flow 202 105 1.918

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 7.6 0.50
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
modules 3.7 7.1 0.52
tuple_return_value 3.7 7.1 0.52
escape 3.7 6.9 0.53
files 3.7 6.9 0.53
length 3.7 6.9 0.53
loops 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
containers 28.5 47.7 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
cgi 0 8 0.000
classes 0 15 0.000
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
loops 0 4 0.000
modules 0 4 0.000
parse 0 8 0.000
tuple_return_value 0 4 0.000
control_flow 4 12 0.338
containers 11 24 0.462
scoped_resource 4 4 0.991
varargs 50 50 1.002
cartesian 8 8 1.018
length 8 4 2.027
escape 4 0 inf

raw benchmark files