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
gc_stack_roots gen 0 4 0.000
fib_recursive gen 7 876 0.008
fib_iter gen 8 893 0.009
modules gen 2 172 0.010
loops gen 4 285 0.014
asdl_generated gen 7 371 0.020
parse gen 26 759 0.034
scoped_resource gen 47 1,042 0.045
tuple_return_value gen 16 185 0.087
files gen 7 61 0.123
containers gen 15 117 0.132
classes gen 3 23 0.141
length gen 41 199 0.204
cartesian gen 87 324 0.267
escape gen 107 350 0.306
cgi gen 265 503 0.527
varargs gen 16 28 0.552
control_flow gen 211 106 1.996

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
parse gen 3.8 7.7 0.49
asdl_generated gen 3.5 6.9 0.51
cartesian gen 3.5 6.9 0.51
escape gen 3.5 6.9 0.51
cgi gen 3.7 7.1 0.52
gc_stack_roots gen 3.7 7.1 0.52
loops gen 3.7 7.1 0.52
modules gen 3.7 7.1 0.52
length gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
control_flow gen 3.8 6.9 0.55
fib_iter gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
tuple_return_value 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
classes gen 0 8 0.000
containers gen 0 20 0.000
control_flow gen 0 8 0.000
escape gen 0 12 0.000
fib_iter gen 0 8 0.000
files gen 0 15 0.000
loops gen 0 12 0.000
modules gen 0 12 0.000
scoped_resource gen 0 8 0.000
gc_stack_roots gen 2 8 0.222
fib_recursive gen 4 8 0.450
asdl_generated gen 4 8 0.455
parse gen 4 8 0.457
cgi gen 4 8 0.495
length gen 4 8 0.510
tuple_return_value gen 4 8 0.514
cartesian gen 4 4 1.032
varargs gen 51 44 1.142

raw benchmark files