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 8 880 0.009
modules gen 2 178 0.010
fib_recursive gen 11 875 0.012
loops gen 4 298 0.013
asdl_generated gen 11 379 0.028
parse gen 26 771 0.033
containers gen 4 112 0.034
scoped_resource gen 43 1,045 0.041
files gen 4 65 0.058
tuple_return_value gen 18 187 0.097
classes gen 3 23 0.137
gc_stack_roots gen 2 8 0.220
length gen 45 201 0.224
cartesian gen 77 322 0.240
escape gen 104 350 0.296
cgi gen 268 519 0.517
varargs gen 17 28 0.596
control_flow gen 208 108 1.925

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
asdl_generated 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 7.1 0.52
cartesian gen 3.7 6.9 0.53
control_flow gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
fib_iter gen 3.8 7.1 0.54
files gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
fib_recursive 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 7.1 0.78

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 8 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 8 0.000
gc_stack_roots gen 0 4 0.000
length gen 0 4 0.000
loops gen 0 8 0.000
modules gen 0 4 0.000
files gen 4 11 0.330
containers gen 11 32 0.359
tuple_return_value gen 4 8 0.455
scoped_resource gen 4 8 0.485
parse gen 4 4 1.064
varargs gen 50 44 1.139
cartesian gen 12 8 1.535
escape gen 4 0 inf

raw benchmark files