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 7 889 0.008
modules gen 2 176 0.010
fib_recursive gen 11 874 0.012
loops gen 4 284 0.013
asdl_generated gen 7 377 0.019
scoped_resource gen 39 1,027 0.038
parse gen 29 765 0.039
files gen 4 72 0.051
containers gen 8 123 0.062
tuple_return_value gen 20 196 0.102
classes gen 3 23 0.136
length gen 46 204 0.226
cartesian gen 84 328 0.257
escape gen 98 351 0.281
cgi gen 243 512 0.474
control_flow gen 208 106 1.962
varargs gen 23 8 3.087
gc_stack_roots gen 0 0 NA

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
escape gen 3.5 7.1 0.50
gc_stack_roots gen 3.5 7.1 0.50
parse gen 3.8 7.6 0.50
fib_iter gen 3.5 6.9 0.51
scoped_resource gen 3.7 7.1 0.52
loops gen 3.8 7.2 0.53
cgi gen 3.8 7.1 0.54
files gen 3.8 7.1 0.54
modules gen 3.8 7.1 0.54
fib_recursive gen 3.7 6.8 0.54
asdl_generated gen 3.8 6.9 0.55
cartesian gen 3.8 6.9 0.55
control_flow gen 3.8 6.9 0.55
length gen 3.8 6.8 0.56
tuple_return_value gen 3.9 6.9 0.57
containers gen 28.5 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 8 0.000
control_flow gen 0 8 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 16 0.000
length gen 0 8 0.000
loops gen 0 12 0.000
modules gen 0 8 0.000
parse gen 0 12 0.000
tuple_return_value gen 0 4 0.000
gc_stack_roots gen 2 12 0.152
containers gen 8 12 0.636
scoped_resource gen 8 12 0.648
varargs gen 43 65 0.666
asdl_generated gen 4 4 0.895
files gen 4 4 0.919
cgi gen 12 8 1.493
escape gen 8 4 2.060
cartesian gen 8 0 inf

raw benchmark files