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 7 939 0.008
fib_iter 8 903 0.008
modules 2 179 0.010
loops 4 292 0.012
parse 21 777 0.027
asdl_generated 11 378 0.029
containers 4 117 0.033
scoped_resource 43 1,022 0.042
tuple_return_value 20 194 0.104
files 8 71 0.109
classes 3 23 0.139
length 36 203 0.179
cartesian 78 338 0.231
escape 98 360 0.272
varargs 12 24 0.496
cgi 261 512 0.510
control_flow 207 102 2.026

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 10.9 0.41
cartesian 3.5 7.1 0.50
parse 3.8 7.6 0.50
asdl_generated 3.5 6.9 0.51
cgi 3.7 7.1 0.52
fib_recursive 3.7 7.1 0.52
escape 3.7 6.9 0.53
scoped_resource 3.8 7.1 0.54
tuple_return_value 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
loops 3.9 7.1 0.56
control_flow 3.8 6.8 0.56
modules 3.9 6.9 0.57
containers 28.6 47.8 0.60
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
classes 0 8 0.000
fib_iter 0 8 0.000
files 0 4 0.000
loops 0 8 0.000
modules 0 4 0.000
tuple_return_value 0 8 0.000
scoped_resource 4 12 0.329
control_flow 4 12 0.338
fib_recursive 4 8 0.449
containers 12 16 0.715
length 8 8 0.994
cgi 8 8 1.004
varargs 55 48 1.156
escape 8 4 1.956
parse 8 4 2.121
cartesian 12 4 3.062

raw benchmark files