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 8 914 0.008
modules gen 2 182 0.010
fib_recursive gen 11 1,072 0.010
loops gen 4 305 0.012
asdl_generated gen 7 370 0.020
parse gen 29 776 0.038
scoped_resource gen 47 1,030 0.046
files gen 7 75 0.098
containers gen 12 114 0.102
tuple_return_value gen 20 185 0.109
classes gen 3 17 0.188
cartesian gen 75 348 0.214
length gen 44 201 0.220
escape gen 103 350 0.293
cgi gen 265 505 0.524
varargs gen 27 20 1.368
control_flow gen 208 107 1.942
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 10.9 0.41
parse gen 3.8 7.5 0.51
cgi gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
cartesian gen 3.7 7.1 0.52
fib_recursive gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
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
modules gen 3.8 6.8 0.56
tuple_return_value gen 3.8 6.8 0.56
control_flow gen 3.9 6.8 0.58
containers gen 28.7 47.8 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
classes gen 0 13 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 4 0.000
gc_stack_roots gen 0 12 0.000
length gen 0 12 0.000
modules gen 0 8 0.000
parse gen 0 8 0.000
scoped_resource gen 0 4 0.000
tuple_return_value gen 0 8 0.000
containers gen 4 20 0.196
asdl_generated gen 4 12 0.303
varargs gen 39 52 0.751
escape gen 4 4 0.981
cgi gen 4 4 1.000
cartesian gen 16 0 inf
files gen 0 0 NA
loops gen 0 0 NA

raw benchmark files