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
containers gen 0 108 0.000
loops gen 0 289 0.000
fib_recursive gen 7 870 0.008
fib_iter gen 8 881 0.009
modules gen 2 187 0.009
asdl_generated gen 11 383 0.028
scoped_resource gen 36 1,027 0.035
parse gen 29 766 0.038
tuple_return_value gen 20 193 0.105
files gen 7 67 0.111
classes gen 3 19 0.167
length gen 41 195 0.209
cartesian gen 87 325 0.267
escape gen 102 353 0.290
gc_stack_roots gen 2 4 0.432
cgi gen 269 507 0.530
varargs gen 16 20 0.779
control_flow gen 213 108 1.977

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 4.3 10.9 0.40
parse gen 3.8 7.5 0.51
cgi gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
asdl_generated gen 3.7 7.1 0.52
cartesian gen 3.7 7.1 0.52
escape gen 3.7 7.1 0.52
fib_iter 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 3.8 7.1 0.54
fib_recursive gen 3.7 6.8 0.54
files gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
scoped_resource gen 3.8 6.9 0.55
containers gen 28.7 47.8 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 4 0.000
classes gen 0 11 0.000
control_flow gen 0 8 0.000
fib_iter gen 0 12 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 8 0.000
modules gen 0 4 0.000
parse gen 0 8 0.000
tuple_return_value gen 0 4 0.000
fib_recursive gen 4 12 0.300
length gen 4 12 0.341
escape gen 4 12 0.344
loops gen 4 8 0.466
containers gen 16 28 0.565
varargs gen 51 52 0.974
cartesian gen 4 4 0.983
scoped_resource gen 12 4 2.967
asdl_generated gen 0 0 NA

raw benchmark files