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
modules gen 0 181 0.000
fib_iter gen 8 886 0.009
fib_recursive gen 11 873 0.012
loops gen 4 282 0.013
asdl_generated gen 11 384 0.029
parse gen 25 776 0.032
scoped_resource gen 47 1,040 0.045
files gen 4 68 0.055
containers gen 8 117 0.065
tuple_return_value gen 20 192 0.106
classes gen 3 22 0.149
length gen 40 202 0.199
cartesian gen 79 332 0.238
escape gen 106 355 0.299
gc_stack_roots gen 2 4 0.440
cgi gen 265 517 0.512
varargs gen 21 28 0.739
control_flow gen 207 111 1.862

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 3.7 7.6 0.48
cartesian gen 3.5 7.1 0.50
asdl_generated gen 3.5 6.9 0.51
escape gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
modules gen 3.5 6.9 0.51
cgi gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
files gen 3.8 7.1 0.54
length gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
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
tuple_return_value gen 3.9 6.9 0.57
containers gen 28.5 47.7 0.60
varargs gen 5.5 6.8 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
classes gen 0 9 0.000
control_flow gen 0 4 0.000
escape gen 0 4 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 12 0.000
gc_stack_roots gen 0 8 0.000
loops gen 0 12 0.000
tuple_return_value gen 0 8 0.000
containers gen 8 20 0.379
modules gen 2 4 0.453
files gen 4 8 0.467
length gen 4 8 0.507
parse gen 4 8 0.519
varargs gen 45 44 1.035
cartesian gen 12 4 2.961
cgi gen 4 0 inf
asdl_generated gen 0 0 NA
scoped_resource gen 0 0 NA

raw benchmark files