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 8 887 0.009
modules gen 2 174 0.012
fib_recursive gen 11 891 0.012
loops gen 4 291 0.013
asdl_generated gen 11 380 0.028
parse gen 26 781 0.033
containers gen 4 116 0.035
scoped_resource gen 48 1,038 0.046
files gen 8 71 0.108
tuple_return_value gen 20 186 0.109
classes gen 3 19 0.173
length gen 40 204 0.198
gc_stack_roots gen 2 8 0.217
cartesian gen 82 322 0.256
escape gen 94 341 0.275
cgi gen 267 520 0.514
varargs gen 16 24 0.652
control_flow gen 207 112 1.842

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 10.6 0.42
cartesian gen 3.5 7.1 0.50
cgi gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
escape gen 3.8 7.1 0.54
length gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
fib_iter gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.8 0.56
control_flow gen 3.9 6.9 0.57
containers gen 28.7 47.8 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 8 0.000
classes gen 0 11 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 4 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 4 0.000
loops gen 0 8 0.000
modules gen 0 8 0.000
scoped_resource gen 0 12 0.000
tuple_return_value gen 0 8 0.000
length gen 4 8 0.504
containers gen 12 20 0.604
parse gen 4 4 0.925
escape gen 12 12 0.985
cartesian gen 8 8 0.987
control_flow gen 4 4 0.992
cgi gen 4 4 0.997
varargs gen 51 48 1.059

raw benchmark files