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
modules 0 177 0.000
fib_iter 4 895 0.004
fib_recursive 7 896 0.008
loops 4 296 0.013
asdl_generated 11 376 0.029
parse 25 756 0.033
containers 4 109 0.035
scoped_resource 39 1,035 0.038
tuple_return_value 20 212 0.094
files 7 72 0.103
classes 3 17 0.186
length 44 205 0.216
escape 88 353 0.248
cartesian 88 332 0.264
varargs 8 24 0.347
cgi 265 505 0.525
control_flow 203 111 1.838

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
scoped_resource 3.7 7.2 0.51
cartesian 3.5 6.9 0.51
parse 3.9 7.6 0.52
cgi 3.7 7.1 0.52
escape 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
loops 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
modules 3.8 6.9 0.55
fib_recursive 3.9 6.9 0.57
control_flow 3.9 6.8 0.58
containers 28.6 48.0 0.60
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
classes 0 13 0.000
files 0 4 0.000
length 0 4 0.000
loops 0 4 0.000
tuple_return_value 0 8 0.000
parse 4 12 0.348
modules 2 4 0.438
containers 11 24 0.472
fib_iter 4 8 0.476
cgi 4 8 0.498
fib_recursive 4 4 0.898
control_flow 4 4 0.973
scoped_resource 8 8 0.973
cartesian 4 4 0.996
varargs 58 48 1.213
escape 20 12 1.672

raw benchmark files