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
modules gen 0 176 0.000
fib_iter gen 8 890 0.009
asdl_generated gen 4 370 0.010
fib_recursive gen 11 878 0.012
loops gen 4 291 0.013
parse gen 23 772 0.030
containers gen 4 108 0.036
scoped_resource gen 47 1,047 0.045
tuple_return_value gen 17 186 0.091
files gen 7 71 0.103
classes gen 3 23 0.139
length gen 44 198 0.223
cartesian gen 87 326 0.266
escape gen 102 353 0.289
cgi gen 271 512 0.530
varargs gen 16 15 1.028
control_flow gen 208 114 1.826
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
parse gen 3.7 7.6 0.48
gc_stack_roots gen 3.4 6.9 0.49
loops gen 3.7 7.2 0.51
escape gen 3.5 6.9 0.51
scoped_resource gen 3.7 7.1 0.52
cartesian gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
files gen 3.7 6.9 0.53
asdl_generated gen 3.7 6.8 0.54
control_flow gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
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
containers gen 28.5 47.7 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 8 0.000
classes gen 0 8 0.000
fib_iter gen 0 16 0.000
fib_recursive gen 0 4 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 12 0.000
length gen 0 12 0.000
loops gen 0 8 0.000
scoped_resource gen 0 16 0.000
modules gen 2 8 0.225
tuple_return_value gen 3 12 0.286
containers gen 12 28 0.413
varargs gen 51 57 0.891
asdl_generated gen 7 8 0.895
parse gen 8 8 0.969
cartesian gen 4 4 0.979
escape gen 4 4 1.017
control_flow gen 0 0 NA

raw benchmark files