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
modules gen 0 174 0.000
fib_recursive gen 7 884 0.008
fib_iter gen 8 891 0.009
loops gen 4 292 0.013
asdl_generated gen 11 379 0.029
parse gen 29 765 0.038
scoped_resource gen 44 1,041 0.042
files gen 4 72 0.052
containers gen 8 99 0.078
tuple_return_value gen 20 189 0.107
length gen 41 205 0.199
classes gen 3 16 0.208
gc_stack_roots gen 2 8 0.223
cartesian gen 87 315 0.277
escape gen 103 345 0.298
cgi gen 265 508 0.523
varargs gen 31 24 1.297
control_flow gen 210 110 1.913

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 10.6 0.42
parse gen 3.7 7.6 0.48
cartesian gen 3.5 7.1 0.50
gc_stack_roots gen 3.5 7.1 0.50
scoped_resource gen 3.5 7.1 0.50
asdl_generated gen 3.5 6.9 0.51
escape gen 3.5 6.9 0.51
loops gen 3.7 7.1 0.52
files gen 3.5 6.8 0.52
cgi gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
length 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 28.5 47.7 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 4 0.000
classes gen 0 16 0.000
control_flow gen 0 12 0.000
fib_iter gen 0 4 0.000
gc_stack_roots gen 0 4 0.000
loops gen 0 12 0.000
parse gen 0 8 0.000
tuple_return_value gen 0 8 0.000
modules gen 2 12 0.153
containers gen 8 36 0.216
scoped_resource gen 4 16 0.248
escape gen 4 12 0.332
cartesian gen 4 12 0.347
fib_recursive gen 4 8 0.451
cgi gen 4 8 0.503
varargs gen 35 48 0.729
files gen 4 4 0.930
length gen 4 4 1.016

raw benchmark files