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 4 896 0.004
modules gen 2 173 0.010
fib_recursive gen 11 885 0.012
loops gen 4 285 0.013
asdl_generated gen 7 371 0.019
parse gen 22 768 0.028
scoped_resource gen 32 1,027 0.031
containers gen 11 108 0.105
files gen 7 68 0.109
tuple_return_value gen 20 184 0.109
classes gen 3 22 0.148
cartesian gen 78 353 0.219
length gen 45 202 0.224
escape gen 103 340 0.304
cgi gen 260 515 0.505
varargs gen 20 16 1.261
control_flow gen 210 115 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 7.5 0.49
cartesian gen 3.5 7.1 0.50
asdl_generated gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
fib_recursive gen 3.7 7.1 0.52
modules gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
cgi gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
escape gen 3.5 6.7 0.53
loops gen 3.9 7.2 0.55
length gen 3.8 6.9 0.55
control_flow gen 3.9 7.1 0.56
files gen 3.8 6.8 0.56
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
classes gen 0 9 0.000
fib_recursive gen 0 4 0.000
files gen 0 8 0.000
length gen 0 8 0.000
loops gen 0 8 0.000
modules gen 0 8 0.000
tuple_return_value gen 0 8 0.000
containers gen 4 28 0.135
gc_stack_roots gen 2 8 0.223
asdl_generated gen 4 12 0.301
escape gen 4 8 0.498
cgi gen 8 16 0.501
parse gen 7 12 0.603
varargs gen 48 56 0.864
fib_iter gen 4 4 0.941
scoped_resource gen 16 8 1.983
cartesian gen 12 4 2.930
control_flow gen 0 0 NA

raw benchmark files