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
gc_stack_roots gen 0 4 0.000
fib_iter gen 8 894 0.008
modules gen 2 178 0.010
fib_recursive gen 11 883 0.012
loops gen 4 283 0.013
asdl_generated gen 7 382 0.019
parse gen 26 765 0.034
scoped_resource gen 47 1,072 0.044
files gen 4 76 0.051
tuple_return_value gen 20 189 0.105
containers gen 15 110 0.138
length gen 41 199 0.206
classes gen 3 15 0.210
cartesian gen 83 331 0.250
escape gen 103 348 0.296
cgi gen 269 512 0.524
varargs gen 33 20 1.642
control_flow gen 210 106 1.977

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 7.1 0.48
parse gen 3.8 7.5 0.51
loops gen 3.5 6.9 0.51
cartesian gen 3.5 6.8 0.52
escape gen 3.5 6.8 0.52
fib_recursive gen 3.7 6.9 0.53
fib_iter gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
tuple_return_value gen 3.8 7.1 0.54
asdl_generated gen 3.7 6.8 0.54
cgi gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
control_flow gen 3.9 7.1 0.56
modules gen 3.9 7.1 0.56
containers gen 28.5 47.6 0.60
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 4 0.000
classes gen 0 15 0.000
containers gen 0 24 0.000
control_flow gen 0 8 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 4 0.000
loops gen 0 12 0.000
modules gen 0 4 0.000
scoped_resource gen 0 4 0.000
tuple_return_value gen 0 4 0.000
gc_stack_roots gen 2 8 0.223
parse gen 4 8 0.458
escape gen 4 8 0.496
length gen 4 8 0.504
varargs gen 33 52 0.631
cartesian gen 8 4 2.072
asdl_generated gen 4 0 inf
files gen 4 0 inf

raw benchmark files