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
loops gen 0 289 0.000
modules gen 0 182 0.000
fib_recursive gen 7 880 0.008
fib_iter gen 8 894 0.008
asdl_generated gen 11 398 0.027
parse gen 22 763 0.029
scoped_resource gen 47 1,110 0.042
files gen 4 68 0.055
containers gen 8 107 0.072
tuple_return_value gen 20 191 0.105
length gen 37 207 0.178
classes gen 3 15 0.209
varargs gen 8 28 0.279
escape gen 104 348 0.298
cartesian gen 106 325 0.326
cgi gen 266 510 0.522
control_flow gen 208 107 1.944
gc_stack_roots gen 2 0 inf

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 10.6 0.41
escape gen 3.5 7.1 0.50
gc_stack_roots gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
cgi gen 3.7 7.1 0.52
modules gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
scoped_resource gen 3.8 7.1 0.54
tuple_return_value 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
files gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
loops gen 3.8 6.9 0.55
fib_recursive gen 3.9 6.9 0.57
containers gen 28.7 47.8 0.60
varargs gen 5.4 7.1 0.76

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 8 0.000
classes gen 0 15 0.000
control_flow gen 0 8 0.000
fib_iter gen 0 12 0.000
gc_stack_roots gen 0 12 0.000
scoped_resource gen 0 8 0.000
tuple_return_value gen 0 4 0.000
containers gen 8 28 0.279
loops gen 4 8 0.458
files gen 4 8 0.466
escape gen 4 8 0.499
cartesian gen 4 8 0.514
parse gen 7 12 0.613
cgi gen 4 4 0.989
varargs gen 58 44 1.333
length gen 8 4 2.055
fib_recursive gen 4 0 inf
modules gen 2 0 inf

raw benchmark files