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
loops gen 0 299 0.000
fib_iter gen 8 908 0.008
modules gen 2 182 0.010
fib_recursive gen 11 922 0.012
asdl_generated gen 11 370 0.029
parse gen 25 788 0.032
containers gen 4 113 0.036
scoped_resource gen 43 1,037 0.041
files gen 4 72 0.053
tuple_return_value gen 20 189 0.107
length gen 40 204 0.197
cartesian gen 90 333 0.271
classes gen 3 11 0.302
escape gen 103 341 0.303
gc_stack_roots gen 2 4 0.432
cgi gen 265 515 0.516
varargs gen 20 12 1.631
control_flow gen 207 106 1.955

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 4.2 10.9 0.39
cgi gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
escape gen 3.7 7.1 0.52
fib_recursive gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
tuple_return_value gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
fib_iter gen 3.8 6.9 0.55
loops gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
files gen 3.9 6.9 0.57
containers gen 28.7 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
cartesian gen 0 4 0.000
classes gen 0 21 0.000
control_flow gen 0 8 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 8 0.000
gc_stack_roots gen 0 8 0.000
modules gen 0 4 0.000
tuple_return_value gen 0 4 0.000
escape gen 4 12 0.330
containers gen 12 23 0.519
varargs gen 47 60 0.783
files gen 4 4 0.951
scoped_resource gen 4 4 0.974
length gen 4 4 1.005
cgi gen 4 4 1.008
parse gen 4 4 1.056
loops gen 4 0 inf

raw benchmark files