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 28 0.000
fib_iter gen 4 881 0.004
modules gen 2 177 0.010
fib_recursive gen 11 874 0.013
loops gen 4 289 0.013
asdl_generated gen 11 370 0.029
parse gen 29 772 0.037
scoped_resource gen 43 1,054 0.041
containers gen 8 104 0.076
tuple_return_value gen 16 192 0.084
files gen 7 68 0.109
length gen 41 204 0.202
cartesian gen 86 336 0.256
escape gen 102 351 0.292
gc_stack_roots gen 2 4 0.459
cgi gen 265 506 0.523
varargs gen 23 20 1.169
control_flow gen 210 115 1.824

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 3.9 7.7 0.51
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
gc_stack_roots gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
escape 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
control_flow gen 3.9 6.9 0.57
modules gen 3.9 6.9 0.57
containers gen 28.7 47.8 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 12 0.000
control_flow gen 0 4 0.000
fib_recursive gen 0 8 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 8 0.000
loops gen 0 8 0.000
modules gen 0 8 0.000
parse gen 0 12 0.000
containers gen 8 36 0.218
fib_iter gen 4 12 0.319
cgi gen 4 12 0.335
scoped_resource gen 4 8 0.489
cartesian gen 4 8 0.512
classes gen 3 4 0.819
varargs gen 43 52 0.824
escape gen 4 4 0.987
tuple_return_value gen 4 4 1.008
length gen 4 4 1.031

raw benchmark files