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 17 0.000
fib_iter gen 8 889 0.009
modules gen 2 178 0.010
fib_recursive gen 11 873 0.012
loops gen 4 293 0.012
asdl_generated gen 11 374 0.029
parse gen 29 772 0.038
scoped_resource gen 48 1,045 0.045
files gen 7 76 0.097
tuple_return_value gen 20 189 0.106
containers gen 10 95 0.107
length gen 44 211 0.209
cartesian gen 86 352 0.245
escape gen 92 351 0.263
varargs gen 12 40 0.308
gc_stack_roots gen 2 4 0.441
cgi gen 264 508 0.521
control_flow gen 213 113 1.880

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 10.6 0.42
parse gen 3.8 7.7 0.49
gc_stack_roots gen 3.5 7.1 0.50
asdl_generated gen 3.5 6.9 0.51
cartesian gen 3.5 6.9 0.51
escape gen 3.5 6.9 0.51
files gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
tuple_return_value gen 3.7 7.1 0.52
loops gen 3.8 7.2 0.53
cgi gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
fib_iter gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.8 0.56
control_flow gen 3.9 6.9 0.57
containers gen 28.4 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
asdl_generated gen 0 8 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 8 0.000
gc_stack_roots gen 0 8 0.000
length gen 0 4 0.000
loops gen 0 8 0.000
modules gen 0 4 0.000
parse gen 0 8 0.000
scoped_resource gen 0 8 0.000
tuple_return_value gen 0 8 0.000
containers gen 5 40 0.128
classes gen 3 13 0.251
cartesian gen 4 12 0.327
cgi gen 4 8 0.501
varargs gen 53 32 1.667
escape gen 12 4 2.983
control_flow gen 0 0 NA
files gen 0 0 NA

raw benchmark files