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 19 0.000
modules gen 0 175 0.000
fib_iter gen 8 905 0.009
loops gen 3 295 0.010
fib_recursive gen 11 897 0.012
parse gen 23 805 0.028
asdl_generated gen 11 375 0.029
scoped_resource gen 44 1,053 0.042
tuple_return_value gen 16 185 0.084
containers gen 11 120 0.089
files gen 7 65 0.115
length gen 26 204 0.127
cartesian gen 80 354 0.227
escape gen 101 343 0.295
gc_stack_roots gen 2 4 0.439
cgi gen 268 510 0.524
varargs gen 15 16 0.976
control_flow gen 164 111 1.479

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 10.8 0.41
fib_recursive gen 3.4 6.9 0.49
parse gen 3.8 7.6 0.50
cgi gen 3.5 6.9 0.51
escape gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
control_flow gen 3.8 6.9 0.55
fib_iter gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
containers gen 28.5 47.8 0.60
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 8 0.000
cgi gen 0 4 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 4 0.000
files gen 0 12 0.000
gc_stack_roots gen 0 8 0.000
loops gen 0 8 0.000
scoped_resource gen 0 8 0.000
modules gen 2 12 0.148
containers gen 4 24 0.148
classes gen 3 12 0.273
parse gen 4 12 0.317
tuple_return_value gen 4 8 0.485
varargs gen 50 55 0.906
cartesian gen 4 4 0.998
escape gen 8 8 1.016
length gen 18 4 4.612

raw benchmark files