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
gc_stack_roots gen 0 4 0.000
loops gen 0 296 0.000
fib_iter gen 8 888 0.009
asdl_generated gen 4 380 0.009
modules gen 2 179 0.010
fib_recursive gen 11 874 0.012
parse gen 29 766 0.038
scoped_resource gen 45 1,045 0.043
tuple_return_value gen 16 190 0.085
files gen 7 73 0.102
containers gen 12 109 0.113
length gen 45 204 0.220
cartesian gen 87 341 0.256
escape gen 99 350 0.282
cgi gen 269 507 0.529
varargs gen 21 12 1.721
control_flow gen 205 109 1.879

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 4.6 10.7 0.43
parse gen 3.8 7.7 0.49
gc_stack_roots gen 3.5 6.9 0.51
modules gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
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
loops gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
control_flow gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
length gen 3.8 6.8 0.56
containers gen 28.7 47.6 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 8 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 8 0.000
files gen 0 4 0.000
length gen 0 4 0.000
modules gen 0 8 0.000
parse gen 0 8 0.000
containers gen 4 28 0.145
gc_stack_roots gen 2 8 0.227
classes gen 3 12 0.288
scoped_resource gen 4 8 0.515
varargs gen 46 60 0.757
loops gen 4 4 0.906
control_flow gen 4 4 0.995
cartesian gen 4 4 1.005
tuple_return_value gen 4 4 1.017
asdl_generated gen 7 4 1.798
escape gen 8 4 1.966

raw benchmark files