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 8 892 0.009
modules gen 2 178 0.011
fib_recursive gen 11 871 0.012
loops gen 4 285 0.013
asdl_generated gen 11 368 0.030
parse gen 26 782 0.033
containers gen 4 112 0.035
scoped_resource gen 38 1,035 0.037
files gen 8 73 0.105
tuple_return_value gen 20 192 0.107
classes gen 3 27 0.122
length gen 37 206 0.180
cartesian gen 88 328 0.267
escape gen 106 340 0.313
gc_stack_roots gen 2 4 0.455
cgi gen 269 510 0.528
varargs gen 24 28 0.831
control_flow gen 209 114 1.831

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 3.7 7.6 0.48
asdl_generated gen 3.5 6.9 0.51
cartesian gen 3.5 6.9 0.51
cgi gen 3.7 7.1 0.52
control_flow gen 3.7 7.1 0.52
gc_stack_roots gen 3.5 6.8 0.52
escape gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
tuple_return_value gen 3.8 7.1 0.54
fib_iter gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
scoped_resource gen 3.8 6.9 0.55
length gen 3.9 6.9 0.57
containers gen 28.5 47.7 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
cgi gen 0 8 0.000
classes gen 0 4 0.000
control_flow gen 0 4 0.000
escape gen 0 8 0.000
fib_iter gen 0 4 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 12 0.000
modules gen 0 4 0.000
tuple_return_value gen 0 4 0.000
parse gen 4 12 0.308
containers gen 12 24 0.492
cartesian gen 4 8 0.498
varargs gen 43 45 0.970
scoped_resource gen 9 4 2.128
length gen 8 0 inf

raw benchmark files