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
modules gen 0 171 0.000
fib_recursive gen 7 891 0.008
fib_iter gen 8 910 0.009
loops gen 4 288 0.013
asdl_generated gen 7 373 0.019
parse gen 30 761 0.039
scoped_resource gen 47 1,030 0.046
containers gen 8 110 0.073
files gen 7 73 0.102
tuple_return_value gen 21 185 0.111
classes gen 3 28 0.114
length gen 40 203 0.198
escape gen 90 350 0.259
cartesian gen 86 327 0.264
gc_stack_roots gen 2 8 0.270
cgi gen 255 520 0.490
varargs gen 17 16 1.016
control_flow gen 208 112 1.854

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
parse gen 3.8 7.6 0.50
loops gen 3.7 7.2 0.51
cartesian gen 3.5 6.9 0.51
escape gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
files gen 3.7 6.9 0.53
gc_stack_roots gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
control_flow gen 3.8 6.9 0.55
fib_iter gen 3.8 6.9 0.55
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
containers gen 28.5 47.8 0.60
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 8 0.000
classes gen 0 4 0.000
control_flow gen 0 4 0.000
fib_iter 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
parse gen 0 8 0.000
scoped_resource gen 0 12 0.000
tuple_return_value gen 0 8 0.000
modules gen 2 12 0.158
containers gen 8 28 0.283
asdl_generated gen 4 8 0.455
cartesian gen 4 8 0.509
varargs gen 50 57 0.871
length gen 4 4 1.008
escape gen 16 4 3.913
fib_recursive gen 4 0 inf

raw benchmark files