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
gc_stack_roots gen 0 4 0.000
fib_iter gen 4 891 0.004
modules gen 2 171 0.012
fib_recursive gen 11 895 0.012
loops gen 4 294 0.014
asdl_generated gen 7 370 0.020
scoped_resource gen 36 1,029 0.035
parse gen 31 779 0.039
containers gen 7 125 0.052
classes gen 3 31 0.105
files gen 8 72 0.108
tuple_return_value gen 21 183 0.114
length gen 45 202 0.223
cartesian gen 87 325 0.268
escape gen 102 352 0.290
varargs gen 4 8 0.518
cgi gen 271 516 0.524
control_flow gen 211 107 1.976

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
gc_stack_roots gen 3.4 6.9 0.49
asdl_generated gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
cartesian gen 3.7 7.1 0.52
escape gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
cgi gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
loops gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
tuple_return_value 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
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
containers gen 28.5 47.8 0.60
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 12 0.000
control_flow gen 0 8 0.000
files gen 0 4 0.000
length gen 0 8 0.000
loops gen 0 4 0.000
modules gen 0 12 0.000
parse gen 0 4 0.000
tuple_return_value gen 0 12 0.000
gc_stack_roots gen 2 8 0.231
asdl_generated gen 4 8 0.463
cartesian gen 4 8 0.500
containers gen 10 12 0.811
fib_iter gen 4 4 0.956
varargs gen 62 64 0.971
scoped_resource gen 12 8 1.501
escape gen 4 0 inf
classes gen 0 0 NA
fib_recursive gen 0 0 NA

raw benchmark files