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 8 895 0.009
modules 2 174 0.010
fib_recursive 11 980 0.011
loops 4 314 0.012
asdl_generated 7 384 0.019
parse 26 800 0.032
scoped_resource 43 1,024 0.042
containers 5 106 0.048
tuple_return_value 20 191 0.104
files 8 68 0.112
classes 3 23 0.146
length 44 198 0.222
cartesian 86 320 0.270
escape 99 366 0.271
cgi 266 511 0.520
varargs 20 20 1.013
control_flow 210 107 1.956

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 10.7 0.41
parse 3.8 7.5 0.51
asdl_generated 3.5 6.9 0.51
escape 3.5 6.9 0.51
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
length 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
loops 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
files 3.8 6.8 0.56
control_flow 3.9 6.9 0.57
containers 28.5 48.0 0.59
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 4 0.000
classes 0 8 0.000
control_flow 0 8 0.000
fib_iter 0 4 0.000
fib_recursive 0 12 0.000
files 0 8 0.000
length 0 12 0.000
loops 0 4 0.000
modules 0 8 0.000
tuple_return_value 0 4 0.000
parse 4 12 0.306
containers 10 31 0.325
cartesian 4 8 0.515
varargs 45 52 0.857
asdl_generated 4 4 0.906
escape 8 8 0.998
scoped_resource 4 0 inf

raw benchmark files