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
classes gen 0 26 0.000
gc_stack_roots gen 0 8 0.000
fib_iter gen 8 895 0.008
modules gen 2 173 0.010
fib_recursive gen 11 890 0.012
loops gen 4 294 0.012
asdl_generated gen 12 415 0.028
parse gen 29 772 0.038
scoped_resource gen 43 1,045 0.041
files gen 4 67 0.055
containers gen 8 97 0.078
tuple_return_value gen 20 197 0.103
length gen 44 202 0.219
escape gen 94 412 0.228
cartesian gen 83 322 0.257
cgi gen 251 512 0.491
varargs gen 16 20 0.778
control_flow gen 207 101 2.037

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
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
escape gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.8 0.52
parse gen 3.9 7.5 0.53
control_flow gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
containers gen 28.5 47.8 0.59
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
control_flow gen 0 12 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 4 0.000
length gen 0 8 0.000
loops gen 0 4 0.000
modules gen 0 8 0.000
parse gen 0 8 0.000
tuple_return_value gen 0 4 0.000
containers gen 8 36 0.208
gc_stack_roots gen 2 4 0.463
files gen 4 8 0.469
cgi gen 4 8 0.499
classes gen 3 4 0.735
varargs gen 51 52 0.973
cartesian gen 8 8 0.992
escape gen 12 8 1.535
scoped_resource gen 4 0 inf
asdl_generated gen 0 0 NA

raw benchmark files