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 24 0.000
fib_iter gen 4 894 0.004
modules gen 2 179 0.011
fib_recursive gen 11 905 0.012
loops gen 4 286 0.015
asdl_generated gen 11 380 0.029
containers gen 4 113 0.036
scoped_resource gen 39 1,068 0.036
parse gen 29 766 0.038
tuple_return_value gen 16 193 0.084
files gen 8 72 0.105
length gen 41 201 0.203
cartesian gen 82 331 0.249
escape gen 95 345 0.274
cgi gen 254 529 0.481
varargs gen 12 16 0.734
control_flow gen 209 110 1.895
gc_stack_roots gen 2 0 inf

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 10.9 0.41
gc_stack_roots gen 3.4 6.9 0.49
asdl_generated gen 3.5 7.1 0.50
parse gen 3.8 7.6 0.50
scoped_resource gen 3.5 7.1 0.50
cartesian gen 3.5 6.9 0.51
cgi gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.8 0.54
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
loops gen 3.9 7.1 0.56
control_flow gen 3.9 6.9 0.57
modules gen 3.9 6.9 0.57
containers gen 28.6 47.8 0.60
varargs gen 5.5 6.8 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 4 0.000
control_flow gen 0 8 0.000
fib_recursive gen 0 4 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 12 0.000
loops gen 0 8 0.000
modules gen 0 4 0.000
parse gen 0 8 0.000
classes gen 3 8 0.419
containers gen 12 24 0.502
length gen 4 8 0.518
fib_iter gen 4 4 0.963
varargs gen 55 56 0.979
cartesian gen 8 8 0.986
tuple_return_value gen 4 4 1.008
escape gen 12 8 1.475
scoped_resource gen 8 0 inf
asdl_generated gen 0 0 NA

raw benchmark files