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 20 0.000
fib_iter gen 8 894 0.008
modules gen 2 171 0.011
fib_recursive gen 11 881 0.013
loops gen 4 287 0.013
asdl_generated gen 7 381 0.019
containers gen 4 122 0.033
parse gen 29 755 0.039
scoped_resource gen 49 1,050 0.047
files gen 8 72 0.107
tuple_return_value gen 20 189 0.107
length gen 37 204 0.180
cartesian gen 87 325 0.268
escape gen 99 344 0.287
varargs gen 8 24 0.345
cgi gen 269 511 0.526
control_flow gen 206 112 1.848
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
parse gen 3.7 7.6 0.48
gc_stack_roots gen 3.5 6.9 0.51
scoped_resource gen 3.5 6.9 0.51
length gen 3.7 7.1 0.52
asdl_generated gen 3.5 6.8 0.52
fib_recursive gen 3.5 6.8 0.52
loops gen 3.8 7.2 0.53
cartesian gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
files gen 3.7 6.9 0.53
fib_iter gen 3.8 7.1 0.54
modules gen 3.8 7.1 0.54
control_flow gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
containers gen 28.3 47.8 0.59
varargs gen 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 8 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 8 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 12 0.000
parse gen 0 12 0.000
scoped_resource gen 0 4 0.000
tuple_return_value gen 0 8 0.000
classes gen 3 12 0.281
cartesian gen 4 8 0.493
containers gen 12 16 0.774
asdl_generated gen 4 4 0.900
control_flow gen 4 4 0.960
escape gen 8 8 0.988
varargs gen 58 48 1.208
length gen 8 4 2.044

raw benchmark files