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 12 0.000
loops gen 0 294 0.000
fib_iter gen 8 881 0.009
modules gen 2 176 0.010
fib_recursive gen 11 957 0.011
asdl_generated gen 5 376 0.014
parse gen 29 758 0.038
scoped_resource gen 43 1,033 0.041
files gen 4 72 0.051
containers gen 12 130 0.094
tuple_return_value gen 20 182 0.110
classes gen 3 28 0.115
length gen 45 201 0.223
cartesian gen 78 330 0.236
escape gen 103 348 0.296
cgi gen 269 499 0.538
varargs gen 25 20 1.243
control_flow gen 201 105 1.909

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
parse gen 3.9 7.7 0.51
cartesian gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
modules gen 3.5 6.9 0.51
tuple_return_value gen 3.5 6.9 0.51
escape gen 3.7 7.1 0.52
length gen 3.7 7.1 0.52
loops gen 3.7 7.1 0.52
fib_recursive gen 3.5 6.8 0.52
asdl_generated gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
scoped_resource gen 3.8 7.1 0.54
fib_iter gen 3.8 6.9 0.55
files gen 3.8 6.8 0.56
control_flow 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
cgi gen 0 12 0.000
classes gen 0 4 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 4 0.000
length gen 0 8 0.000
modules gen 0 8 0.000
parse gen 0 12 0.000
tuple_return_value gen 0 12 0.000
containers gen 4 20 0.201
scoped_resource gen 4 12 0.325
asdl_generated gen 5 8 0.671
varargs gen 42 52 0.797
loops gen 4 4 0.914
files gen 4 4 0.925
control_flow gen 8 8 0.973
escape gen 4 4 0.990
cartesian gen 12 4 3.060
gc_stack_roots gen 2 0 inf

raw benchmark files