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
gc_stack_roots gen 0 3 0.000
fib_iter gen 8 889 0.009
modules gen 2 179 0.010
loops gen 4 295 0.012
fib_recursive gen 11 869 0.012
asdl_generated gen 7 377 0.019
parse gen 22 766 0.029
scoped_resource gen 47 1,039 0.045
containers gen 8 108 0.073
tuple_return_value gen 20 189 0.106
files gen 8 70 0.109
length gen 41 204 0.202
cartesian gen 86 339 0.254
escape gen 106 366 0.290
cgi gen 269 503 0.536
varargs gen 23 15 1.538
control_flow gen 205 104 1.975

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 0.42
parse gen 3.9 7.7 0.51
modules gen 3.7 7.1 0.52
gc_stack_roots gen 3.5 6.8 0.52
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
control_flow gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
length gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
fib_iter gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
containers gen 28.4 47.8 0.59
varargs gen 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 12 0.000
escape gen 0 4 0.000
fib_iter gen 0 12 0.000
fib_recursive gen 0 12 0.000
files gen 0 8 0.000
loops gen 0 4 0.000
modules gen 0 4 0.000
scoped_resource gen 0 4 0.000
tuple_return_value gen 0 12 0.000
gc_stack_roots gen 2 9 0.189
containers gen 8 28 0.280
control_flow gen 4 12 0.329
classes gen 3 8 0.423
asdl_generated gen 4 8 0.452
varargs gen 43 57 0.752
parse gen 7 8 0.912
length gen 4 4 1.029
cartesian gen 4 4 1.030

raw benchmark files