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 24 0.000
fib_iter gen 8 896 0.008
modules gen 2 182 0.010
fib_recursive gen 11 875 0.012
loops gen 4 284 0.013
parse gen 23 781 0.029
asdl_generated gen 11 369 0.030
scoped_resource gen 32 1,045 0.031
containers gen 4 101 0.035
tuple_return_value gen 11 181 0.063
files gen 7 69 0.108
length gen 34 207 0.163
gc_stack_roots gen 2 8 0.219
cartesian gen 80 319 0.250
escape gen 102 349 0.290
cgi gen 263 502 0.524
control_flow gen 163 107 1.519
varargs gen 31 16 1.944

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 3.9 7.6 0.52
asdl_generated gen 3.7 7.1 0.52
cgi gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
cartesian gen 3.7 6.9 0.53
escape 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
fib_iter gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
files gen 3.9 6.9 0.57
containers gen 28.5 47.8 0.60
varargs gen 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 16 0.000
control_flow gen 0 8 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 8 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 4 0.000
loops gen 0 12 0.000
containers gen 11 36 0.292
classes gen 3 8 0.396
cgi gen 4 8 0.500
varargs gen 35 56 0.625
tuple_return_value gen 8 12 0.629
cartesian gen 8 12 0.667
parse gen 4 4 0.958
escape gen 4 4 0.972
length gen 11 4 2.819
scoped_resource gen 12 4 3.033
modules gen 0 0 NA

raw benchmark files