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 8 894 0.008
modules gen 2 173 0.010
loops gen 4 293 0.012
fib_recursive gen 11 879 0.013
asdl_generated gen 11 386 0.029
containers gen 4 106 0.036
parse gen 30 762 0.040
scoped_resource gen 43 1,036 0.042
files gen 4 68 0.053
tuple_return_value gen 20 202 0.100
classes gen 3 17 0.183
length gen 41 212 0.193
cartesian gen 82 340 0.241
escape gen 95 350 0.271
gc_stack_roots gen 2 4 0.407
cgi gen 261 515 0.506
varargs gen 16 13 1.241
control_flow gen 198 110 1.792

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
cartesian gen 3.5 7.1 0.50
gc_stack_roots gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
modules gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
fib_iter gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.8 0.56
control_flow gen 3.9 6.9 0.57
containers gen 28.7 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 4 0.000
classes gen 0 13 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 4 0.000
gc_stack_roots gen 0 8 0.000
loops gen 0 4 0.000
modules gen 0 8 0.000
parse gen 0 12 0.000
tuple_return_value gen 0 4 0.000
containers gen 11 28 0.414
files gen 4 8 0.454
scoped_resource gen 4 8 0.539
cartesian gen 8 12 0.683
varargs gen 51 59 0.864
length gen 4 4 1.024
cgi gen 8 4 1.979
control_flow gen 8 4 2.007
escape gen 12 4 2.945

raw benchmark files