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
containers gen 0 113 0.000
fib_iter gen 8 898 0.008
modules gen 2 179 0.010
fib_recursive gen 11 889 0.012
loops gen 4 287 0.013
asdl_generated gen 11 388 0.028
parse gen 26 767 0.033
scoped_resource gen 47 1,023 0.046
files gen 8 72 0.106
tuple_return_value gen 20 184 0.109
length gen 41 211 0.195
cartesian gen 82 333 0.247
escape gen 103 343 0.301
gc_stack_roots gen 2 4 0.440
cgi gen 253 515 0.491
varargs gen 23 16 1.479
control_flow gen 206 105 1.957

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 4.3 10.7 0.40
gc_stack_roots gen 3.4 6.9 0.49
cgi gen 3.5 7.1 0.50
parse gen 3.8 7.6 0.50
modules gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
files gen 3.7 6.9 0.53
control_flow gen 3.8 6.9 0.55
fib_iter gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
loops gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
containers gen 28.5 47.7 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 4 0.000
cgi gen 0 4 0.000
control_flow gen 0 8 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 8 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 8 0.000
loops gen 0 8 0.000
modules gen 0 4 0.000
scoped_resource gen 0 16 0.000
tuple_return_value gen 0 8 0.000
classes gen 3 11 0.281
escape gen 4 12 0.332
parse gen 4 8 0.458
containers gen 15 23 0.657
varargs gen 43 55 0.775
length gen 4 4 1.011
cartesian gen 12 0 inf

raw benchmark files