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 gen C++ Python C++ : Python
classes gen 0 23 0.000
fib_iter gen 8 887 0.008
modules gen 2 173 0.010
fib_recursive gen 11 880 0.012
loops gen 4 291 0.013
asdl_generated gen 11 370 0.029
containers gen 4 116 0.033
parse gen 29 780 0.037
scoped_resource gen 44 1,053 0.041
files gen 4 71 0.053
tuple_return_value gen 20 187 0.109
length gen 37 204 0.182
gc_stack_roots gen 2 8 0.217
cartesian gen 82 328 0.249
escape gen 106 345 0.306
cgi gen 254 510 0.498
varargs gen 15 12 1.294
control_flow gen 209 108 1.940

Max Resident Set Size (MB)

Lower ratios are better. We use MB (powers of 10), not MiB (powers of 2).

example name gen C++ Python C++ : Python
classes gen 4.5 10.7 0.41
parse gen 3.8 7.6 0.50
cartesian gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
fib_iter gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
cgi gen 3.7 6.8 0.54
fib_recursive gen 3.7 6.8 0.54
files gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
containers gen 28.6 47.8 0.60
varargs gen 5.6 6.8 0.83

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 8 0.000
cgi gen 0 12 0.000
control_flow gen 0 8 0.000
escape gen 0 8 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 8 0.000
gc_stack_roots gen 0 4 0.000
loops gen 0 4 0.000
modules gen 0 8 0.000
parse gen 0 8 0.000
tuple_return_value gen 0 4 0.000
scoped_resource gen 4 12 0.331
classes gen 3 8 0.425
containers gen 11 20 0.575
varargs gen 50 60 0.841
files gen 4 4 0.957
cartesian gen 8 8 1.023
length gen 8 4 2.060

raw benchmark files