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
fib_iter gen 8 909 0.008
modules gen 2 178 0.010
loops gen 4 301 0.012
fib_recursive gen 11 874 0.012
asdl_generated gen 11 376 0.029
parse gen 26 775 0.033
containers gen 4 93 0.041
scoped_resource gen 47 1,041 0.045
files gen 4 73 0.052
tuple_return_value gen 20 189 0.106
classes gen 3 26 0.122
length gen 40 198 0.202
gc_stack_roots gen 2 8 0.214
cartesian gen 82 323 0.254
escape gen 102 355 0.289
cgi gen 269 512 0.525
control_flow gen 204 104 1.957
varargs gen 15 4 3.860

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
parse gen 3.7 7.6 0.48
cartesian gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
modules gen 3.5 6.9 0.51
cgi gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
files gen 3.7 6.8 0.54
length gen 3.7 6.8 0.54
asdl_generated gen 3.8 6.9 0.55
fib_iter gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
containers gen 28.7 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 8 0.000
classes gen 0 4 0.000
fib_recursive gen 0 12 0.000
gc_stack_roots gen 0 4 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 4 0.000
containers gen 11 43 0.268
length gen 4 12 0.337
parse gen 4 8 0.456
control_flow gen 4 8 0.499
varargs gen 50 68 0.738
files gen 4 4 0.940
cartesian gen 8 8 0.981
escape gen 4 4 0.989
fib_iter gen 0 0 NA

raw benchmark files