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 4 897 0.004
modules gen 2 184 0.010
fib_recursive gen 11 897 0.012
loops gen 4 296 0.012
asdl_generated gen 11 374 0.029
containers gen 3 110 0.031
parse gen 27 776 0.035
scoped_resource gen 45 1,044 0.043
files gen 4 68 0.055
tuple_return_value gen 19 190 0.099
classes gen 3 22 0.141
length gen 41 203 0.200
cartesian gen 80 326 0.244
escape gen 112 365 0.306
cgi gen 249 513 0.486
control_flow gen 161 107 1.505
varargs gen 29 12 2.429
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 10.7 0.41
gc_stack_roots gen 3.4 6.9 0.49
parse gen 3.8 7.6 0.50
asdl_generated gen 3.5 6.9 0.51
cartesian gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
tuple_return_value gen 3.8 7.1 0.54
escape gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
control_flow gen 3.9 7.1 0.56
cgi gen 3.8 6.8 0.56
fib_recursive gen 3.9 6.9 0.57
containers gen 28.6 47.8 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 8 0.000
classes gen 0 15 0.000
control_flow gen 0 8 0.000
fib_recursive gen 0 8 0.000
gc_stack_roots gen 0 12 0.000
loops gen 0 4 0.000
scoped_resource gen 0 12 0.000
tuple_return_value gen 0 8 0.000
containers gen 10 25 0.422
files gen 4 8 0.470
fib_iter gen 4 8 0.479
cgi gen 4 8 0.493
escape gen 4 8 0.498
varargs gen 37 60 0.625
cartesian gen 8 12 0.668
length gen 4 4 1.023
modules gen 0 0 NA
parse gen 0 0 NA

raw benchmark files