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 0 284 0.000
fib_iter gen 4 890 0.004
fib_recursive gen 7 946 0.008
modules gen 2 180 0.010
asdl_generated gen 11 374 0.029
parse gen 25 781 0.032
containers gen 4 116 0.033
scoped_resource gen 42 1,023 0.041
tuple_return_value gen 20 215 0.094
files gen 7 68 0.110
classes gen 3 26 0.123
length gen 41 207 0.197
cartesian gen 78 324 0.241
escape gen 99 346 0.287
cgi gen 265 509 0.519
varargs gen 16 16 0.978
control_flow gen 209 109 1.927
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 10.8 0.40
escape gen 3.5 7.1 0.50
parse gen 3.8 7.5 0.51
gc_stack_roots gen 3.5 6.9 0.51
length gen 3.5 6.9 0.51
modules gen 3.5 6.9 0.51
cartesian gen 3.7 7.1 0.52
loops gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
cgi gen 3.7 6.9 0.53
asdl_generated gen 3.8 7.1 0.54
fib_iter gen 3.8 7.1 0.54
control_flow gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
files gen 3.9 6.9 0.57
containers gen 28.5 47.8 0.60
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 8 0.000
classes gen 0 4 0.000
control_flow gen 0 4 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 12 0.000
modules gen 0 4 0.000
tuple_return_value gen 0 4 0.000
loops gen 4 12 0.318
scoped_resource gen 4 12 0.353
fib_recursive gen 4 8 0.448
fib_iter gen 4 8 0.473
containers gen 11 20 0.567
varargs gen 50 56 0.908
cgi gen 4 4 1.000
length gen 4 4 1.022
parse gen 4 4 1.036
cartesian gen 12 4 3.089
escape gen 8 0 inf

raw benchmark files