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
containers 0 114 0.000
fib_iter 8 890 0.008
asdl_generated 4 380 0.009
modules 2 177 0.010
fib_recursive 11 922 0.012
loops 4 286 0.013
parse 29 767 0.038
scoped_resource 44 1,086 0.040
tuple_return_value 13 187 0.072
files 7 75 0.099
classes 4 24 0.148
length 33 212 0.158
cartesian 86 330 0.261
escape 103 350 0.294
cgi 261 509 0.512
control_flow 205 108 1.905
varargs 20 4 5.143

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 3.7 7.6 0.48
asdl_generated 3.5 6.9 0.51
fib_iter 3.7 7.1 0.52
cartesian 3.5 6.8 0.52
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
length 3.7 6.9 0.53
loops 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
files 3.8 7.1 0.54
fib_recursive 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
modules 3.9 6.9 0.57
control_flow 3.9 6.8 0.58
containers 28.5 48.0 0.59
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
loops 0 8 0.000
modules 0 8 0.000
parse 0 8 0.000
scoped_resource 4 12 0.330
cgi 4 12 0.336
cartesian 4 12 0.344
control_flow 4 8 0.504
varargs 45 68 0.665
containers 15 20 0.766
tuple_return_value 7 8 0.843
asdl_generated 7 4 1.784
length 11 4 2.785
escape 4 0 inf
files 0 0 NA

raw benchmark files