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 8 888 0.009
modules gen 2 180 0.010
fib_recursive gen 11 876 0.012
loops gen 4 293 0.012
asdl_generated gen 11 373 0.029
parse gen 25 773 0.032
scoped_resource gen 47 1,021 0.046
containers gen 8 105 0.076
tuple_return_value gen 20 203 0.100
files gen 7 68 0.110
classes gen 3 19 0.167
length gen 40 201 0.200
cartesian gen 87 336 0.258
escape gen 102 348 0.295
cgi gen 257 510 0.504
varargs gen 16 12 1.308
control_flow gen 205 106 1.924
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 10.8 0.41
gc_stack_roots gen 3.4 6.9 0.49
parse gen 3.8 7.7 0.49
cgi gen 3.5 6.9 0.51
modules gen 3.5 6.9 0.51
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
files gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
tuple_return_value gen 3.8 6.9 0.55
fib_iter gen 3.9 7.1 0.56
control_flow gen 3.9 6.9 0.57
length gen 3.9 6.9 0.57
containers gen 28.6 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
asdl_generated gen 0 8 0.000
classes gen 0 12 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 8 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 12 0.000
loops gen 0 4 0.000
modules gen 0 8 0.000
scoped_resource gen 0 12 0.000
containers gen 8 32 0.247
length gen 4 8 0.499
control_flow gen 4 8 0.509
escape gen 4 8 0.513
varargs gen 51 60 0.850
cartesian gen 4 4 0.984
parse gen 4 4 1.045
cgi gen 12 4 2.998
tuple_return_value gen 0 0 NA

raw benchmark files