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 27 0.000
loops gen 0 284 0.000
fib_recursive gen 7 870 0.008
fib_iter gen 8 895 0.009
modules gen 2 180 0.013
parse gen 21 773 0.027
asdl_generated gen 11 378 0.029
scoped_resource gen 35 1,021 0.034
containers gen 4 92 0.043
files gen 4 71 0.054
tuple_return_value gen 16 184 0.087
gc_stack_roots gen 2 12 0.148
length gen 41 193 0.211
cartesian gen 79 328 0.240
escape gen 103 344 0.299
cgi gen 265 516 0.514
varargs gen 27 31 0.887
control_flow gen 210 106 1.973

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 10.7 0.42
gc_stack_roots gen 3.4 7.1 0.48
cartesian gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
cgi gen 3.7 7.1 0.52
fib_recursive gen 3.7 7.1 0.52
files gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
scoped_resource gen 3.8 7.1 0.54
modules gen 3.7 6.8 0.54
control_flow gen 3.8 6.9 0.55
escape gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
tuple_return_value gen 3.9 7.1 0.56
loops gen 3.9 6.9 0.57
containers gen 28.6 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
control_flow gen 0 12 0.000
fib_iter gen 0 4 0.000
modules gen 0 8 0.000
containers gen 12 44 0.269
fib_recursive gen 4 12 0.299
loops gen 4 12 0.309
length gen 4 12 0.345
files gen 4 8 0.484
tuple_return_value gen 4 8 0.502
escape gen 4 8 0.514
classes gen 3 4 0.830
varargs gen 39 42 0.922
scoped_resource gen 12 12 0.979
cgi gen 4 4 0.989
parse gen 8 8 1.034
cartesian gen 12 4 2.951
asdl_generated gen 0 0 NA
gc_stack_roots gen 0 0 NA

raw benchmark files