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 8 895 0.008
modules gen 2 170 0.010
fib_recursive gen 11 881 0.012
loops gen 4 296 0.012
asdl_generated gen 11 381 0.029
parse gen 25 762 0.033
scoped_resource gen 44 1,063 0.041
containers gen 8 106 0.073
tuple_return_value gen 20 196 0.103
files gen 7 67 0.109
classes gen 3 19 0.166
length gen 40 213 0.189
escape gen 90 349 0.257
cartesian gen 83 317 0.261
varargs gen 4 12 0.335
cgi gen 254 509 0.500
control_flow gen 206 111 1.859
gc_stack_roots gen 2 0 inf

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
cartesian gen 3.5 6.9 0.51
cgi gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
asdl_generated gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
control_flow gen 3.8 6.9 0.55
fib_iter gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
files gen 3.8 6.8 0.56
fib_recursive gen 3.9 6.9 0.57
tuple_return_value gen 3.9 6.9 0.57
containers gen 28.7 48.0 0.60
varargs gen 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 4 0.000
cgi gen 0 4 0.000
classes gen 0 12 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 12 0.000
fib_recursive gen 0 8 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 12 0.000
loops gen 0 8 0.000
modules gen 0 12 0.000
tuple_return_value gen 0 8 0.000
containers gen 8 29 0.272
cartesian gen 8 16 0.497
parse gen 4 4 1.033
varargs gen 62 58 1.077
escape gen 16 4 3.896
length gen 4 0 inf
scoped_resource gen 4 0 inf

raw benchmark files