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
fib_iter gen 8 889 0.009
modules gen 2 182 0.010
fib_recursive gen 11 882 0.012
loops gen 4 294 0.012
asdl_generated gen 11 378 0.030
parse gen 29 763 0.038
containers gen 4 95 0.041
scoped_resource gen 44 1,050 0.041
tuple_return_value gen 16 190 0.085
files gen 7 68 0.108
classes gen 3 19 0.176
length gen 37 209 0.176
gc_stack_roots gen 2 8 0.226
cartesian gen 87 325 0.267
escape gen 108 349 0.310
cgi gen 253 510 0.496
varargs gen 31 28 1.110
control_flow gen 211 128 1.652

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 10.7 0.41
escape gen 3.4 7.1 0.48
parse gen 3.8 7.7 0.49
asdl_generated gen 3.5 7.1 0.50
cartesian gen 3.5 6.9 0.51
cgi gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
fib_iter gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
modules gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
length gen 3.7 6.8 0.54
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
containers gen 28.5 47.8 0.59
varargs gen 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 4 0.000
cgi gen 0 8 0.000
classes gen 0 12 0.000
control_flow gen 0 4 0.000
escape gen 0 8 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 8 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 4 0.000
loops gen 0 4 0.000
parse gen 0 16 0.000
containers gen 12 40 0.292
cartesian gen 4 12 0.348
varargs gen 35 44 0.795
scoped_resource gen 4 4 0.988
tuple_return_value gen 4 4 0.995
length gen 8 0 inf
modules gen 0 0 NA

raw benchmark files