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 15 0.000
loops gen 0 303 0.000
fib_iter gen 4 887 0.004
fib_recursive gen 7 885 0.008
modules gen 2 178 0.010
asdl_generated gen 11 376 0.029
parse gen 26 771 0.033
containers gen 4 108 0.036
scoped_resource gen 43 1,049 0.041
tuple_return_value gen 16 199 0.081
files gen 7 65 0.115
length gen 44 205 0.215
cartesian gen 83 326 0.254
escape gen 99 347 0.284
gc_stack_roots gen 2 4 0.430
varargs gen 12 24 0.487
cgi gen 265 513 0.517
control_flow gen 210 109 1.916

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 7.6 0.50
cgi gen 3.5 6.9 0.51
escape gen 3.5 6.9 0.51
cartesian gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
files gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
asdl_generated gen 3.8 6.9 0.55
control_flow gen 3.8 6.9 0.55
fib_iter 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
containers gen 28.6 48.0 0.60
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 4 0.000
control_flow gen 0 4 0.000
files gen 0 12 0.000
gc_stack_roots gen 0 8 0.000
length gen 0 4 0.000
modules gen 0 4 0.000
classes gen 3 15 0.210
containers gen 12 28 0.421
fib_iter gen 4 8 0.476
scoped_resource gen 4 8 0.486
fib_recursive gen 4 4 0.904
parse gen 4 4 0.913
loops gen 4 4 0.919
cgi gen 4 4 0.989
tuple_return_value gen 4 4 0.994
escape gen 8 8 1.031
varargs gen 55 48 1.136
cartesian gen 8 4 1.981

raw benchmark files