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 27 0.000
fib_recursive gen 7 941 0.008
fib_iter gen 8 907 0.008
modules gen 2 180 0.010
asdl_generated gen 4 367 0.010
loops gen 4 297 0.013
containers gen 4 128 0.030
parse gen 29 778 0.037
scoped_resource gen 47 1,030 0.045
files gen 8 72 0.107
tuple_return_value gen 20 184 0.109
length gen 45 207 0.217
cartesian gen 82 331 0.248
escape gen 109 342 0.319
gc_stack_roots gen 2 4 0.430
cgi gen 243 501 0.486
varargs gen 16 19 0.811
control_flow gen 206 105 1.955

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 10.9 0.41
cgi gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
files gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
control_flow gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
tuple_return_value gen 3.8 6.9 0.55
fib_iter gen 3.9 6.8 0.58
containers gen 28.5 47.7 0.60
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
escape gen 0 12 0.000
fib_iter gen 0 4 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 8 0.000
length gen 0 4 0.000
loops gen 0 4 0.000
modules gen 0 4 0.000
parse gen 0 8 0.000
scoped_resource gen 0 12 0.000
tuple_return_value gen 0 8 0.000
control_flow gen 4 8 0.508
asdl_generated gen 7 12 0.602
classes gen 3 4 0.831
varargs gen 50 54 0.942
containers gen 11 8 1.421
cgi gen 12 8 1.506
cartesian gen 8 4 2.062
fib_recursive gen 4 0 inf

raw benchmark files