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 19 0.000
modules gen 0 178 0.000
fib_recursive gen 7 914 0.008
fib_iter gen 8 891 0.008
loops gen 4 291 0.012
asdl_generated gen 7 389 0.019
parse gen 29 766 0.038
scoped_resource gen 43 1,041 0.041
containers gen 10 114 0.089
tuple_return_value gen 20 192 0.104
files gen 8 64 0.118
gc_stack_roots gen 2 8 0.222
length gen 45 202 0.222
cartesian gen 79 321 0.246
escape gen 102 353 0.288
cgi gen 251 527 0.477
varargs gen 8 16 0.513
control_flow gen 203 107 1.897

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
gc_stack_roots gen 3.4 6.9 0.49
parse gen 3.8 7.7 0.49
scoped_resource gen 3.7 7.1 0.52
loops gen 3.8 7.2 0.53
asdl_generated gen 3.7 6.9 0.53
cartesian 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 3.8 7.1 0.54
cgi gen 3.7 6.8 0.54
fib_recursive gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
length gen 3.9 6.9 0.57
control_flow gen 3.9 6.8 0.58
containers gen 28.5 47.8 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
fib_iter gen 0 8 0.000
files gen 0 12 0.000
gc_stack_roots gen 0 4 0.000
length gen 0 4 0.000
loops gen 0 12 0.000
parse gen 0 8 0.000
tuple_return_value gen 0 4 0.000
modules gen 2 12 0.151
containers gen 5 20 0.250
classes gen 3 12 0.279
scoped_resource gen 4 12 0.326
control_flow gen 4 12 0.335
fib_recursive gen 4 8 0.447
cgi gen 4 8 0.500
asdl_generated gen 4 4 0.899
varargs gen 58 56 1.026
cartesian gen 12 8 1.474
escape gen 4 0 inf

raw benchmark files