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 17 0.000
loops gen 0 306 0.000
fib_recursive gen 7 883 0.008
fib_iter gen 8 901 0.008
modules gen 2 176 0.010
asdl_generated gen 11 368 0.029
parse gen 29 779 0.037
scoped_resource gen 42 1,052 0.040
containers gen 8 115 0.067
tuple_return_value gen 20 190 0.106
files gen 8 67 0.114
length gen 37 201 0.183
gc_stack_roots gen 2 8 0.213
cartesian gen 87 336 0.258
escape gen 99 346 0.287
cgi gen 265 511 0.519
varargs gen 16 28 0.580
control_flow gen 211 116 1.821

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
parse gen 3.8 7.5 0.51
cartesian gen 3.5 6.9 0.51
cgi gen 3.7 7.1 0.52
loops gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
files gen 3.7 6.9 0.53
gc_stack_roots gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
control_flow gen 3.8 6.9 0.55
escape gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
fib_iter gen 3.9 6.9 0.57
containers gen 28.5 47.8 0.60
varargs gen 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 12 0.000
fib_iter gen 0 8 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 4 0.000
modules gen 0 8 0.000
parse gen 0 16 0.000
tuple_return_value gen 0 4 0.000
classes gen 3 13 0.248
containers gen 8 20 0.388
loops gen 4 8 0.474
cgi gen 4 8 0.503
cartesian gen 4 4 0.984
length gen 8 8 1.014
scoped_resource gen 4 4 1.061
varargs gen 52 44 1.199
escape gen 8 4 2.000
fib_recursive gen 4 0 inf
control_flow gen 0 0 NA

raw benchmark files