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
loops gen 0 285 0.000
modules gen 0 181 0.000
fib_iter gen 4 911 0.004
fib_recursive gen 11 885 0.012
asdl_generated gen 11 392 0.027
parse gen 25 756 0.034
scoped_resource gen 47 1,049 0.045
containers gen 8 105 0.073
tuple_return_value gen 20 190 0.105
files gen 8 64 0.119
length gen 44 203 0.218
cartesian gen 86 350 0.246
escape gen 103 350 0.294
cgi gen 261 503 0.519
varargs gen 25 24 1.025
control_flow gen 210 106 1.972

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 10.7 0.40
escape gen 3.5 7.1 0.50
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
scoped_resource gen 3.7 7.1 0.52
parse gen 3.9 7.5 0.53
loops gen 3.8 7.2 0.53
cartesian gen 3.7 6.9 0.53
files gen 3.8 7.1 0.54
control_flow gen 3.7 6.8 0.54
length gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
fib_iter gen 3.8 6.8 0.56
fib_recursive gen 3.8 6.8 0.56
containers gen 28.7 47.8 0.60
varargs gen 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 4 0.000
control_flow gen 0 8 0.000
files gen 0 12 0.000
length gen 0 12 0.000
scoped_resource gen 0 4 0.000
tuple_return_value gen 0 4 0.000
containers gen 8 31 0.246
loops gen 4 12 0.307
escape gen 4 12 0.331
modules gen 2 4 0.441
gc_stack_roots gen 2 4 0.445
parse gen 4 8 0.530
classes gen 3 4 0.729
varargs gen 41 48 0.854
fib_iter gen 4 4 0.943
cgi gen 8 8 1.005
cartesian gen 12 4 2.921
fib_recursive gen 0 0 NA

raw benchmark files