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 8 905 0.008
modules gen 2 174 0.010
fib_recursive gen 11 876 0.012
loops gen 4 287 0.013
asdl_generated gen 11 381 0.029
parse gen 26 768 0.034
scoped_resource gen 43 1,035 0.041
containers gen 11 122 0.093
files gen 8 71 0.107
tuple_return_value gen 20 184 0.109
classes gen 3 26 0.125
length gen 36 199 0.182
gc_stack_roots gen 2 8 0.230
cartesian gen 83 328 0.252
escape gen 99 347 0.286
cgi gen 265 503 0.528
varargs gen 29 16 1.821
control_flow gen 204 106 1.928

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 3.8 7.5 0.51
asdl_generated gen 3.5 6.9 0.51
fib_recursive gen 3.5 6.9 0.51
control_flow gen 3.7 7.1 0.52
length gen 3.7 7.1 0.52
cartesian gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
files gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
modules gen 3.8 6.9 0.55
containers gen 28.5 47.7 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
classes gen 0 4 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 8 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 4 0.000
loops gen 0 8 0.000
modules gen 0 8 0.000
tuple_return_value gen 0 8 0.000
containers gen 4 16 0.241
cgi gen 4 12 0.331
parse gen 4 8 0.465
control_flow gen 4 8 0.491
varargs gen 37 55 0.669
length gen 8 12 0.676
scoped_resource gen 4 4 0.976
cartesian gen 8 8 0.985
escape gen 8 8 1.037
asdl_generated gen 0 0 NA

raw benchmark files