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 12 0.000
fib_recursive gen 7 891 0.008
fib_iter gen 8 896 0.008
modules gen 2 175 0.010
loops gen 4 296 0.012
asdl_generated gen 11 373 0.029
parse gen 25 772 0.033
scoped_resource gen 47 1,032 0.045
containers gen 8 111 0.070
files gen 7 71 0.103
tuple_return_value gen 20 194 0.104
length gen 41 199 0.205
classes gen 3 15 0.216
cartesian gen 74 324 0.228
escape gen 102 358 0.285
cgi gen 268 508 0.528
varargs gen 24 20 1.174
control_flow gen 211 111 1.909

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 7.6 0.50
gc_stack_roots gen 3.5 6.9 0.51
cartesian gen 3.7 7.1 0.52
escape gen 3.7 7.1 0.52
fib_iter 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
cgi gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
control_flow gen 3.8 7.1 0.54
loops gen 3.9 7.2 0.55
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
length gen 3.9 6.8 0.58
containers gen 28.6 47.7 0.60
varargs gen 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 12 0.000
classes gen 0 15 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 8 0.000
files gen 0 4 0.000
loops gen 0 4 0.000
modules gen 0 8 0.000
scoped_resource gen 0 4 0.000
containers gen 8 24 0.326
length gen 4 8 0.512
parse gen 4 8 0.523
varargs gen 43 52 0.828
fib_recursive gen 4 4 0.899
cartesian gen 16 8 2.052
cgi gen 12 4 2.959
escape gen 4 0 inf
gc_stack_roots gen 2 0 inf
tuple_return_value gen 0 0 NA

raw benchmark files