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
fib_recursive gen 7 882 0.008
fib_iter gen 8 891 0.008
modules gen 2 167 0.010
loops gen 4 292 0.013
asdl_generated gen 5 370 0.014
parse gen 22 775 0.028
containers gen 4 116 0.034
scoped_resource gen 44 1,050 0.042
files gen 4 74 0.050
tuple_return_value gen 20 192 0.105
classes gen 3 19 0.175
length gen 45 204 0.218
cartesian gen 83 323 0.257
escape gen 108 341 0.315
gc_stack_roots gen 2 4 0.514
cgi gen 264 514 0.515
control_flow gen 201 115 1.757
varargs gen 29 12 2.427

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
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
fib_recursive gen 3.7 7.1 0.52
loops gen 3.8 7.2 0.53
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_iter gen 3.7 6.9 0.53
files gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
scoped_resource gen 3.8 7.1 0.54
control_flow gen 3.9 7.1 0.56
modules gen 3.9 6.9 0.57
containers gen 28.6 47.8 0.60
varargs gen 5.4 7.1 0.76

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
classes gen 0 11 0.000
escape gen 0 12 0.000
fib_iter 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 16 0.000
fib_recursive gen 4 8 0.443
containers gen 12 24 0.488
cgi gen 4 8 0.503
scoped_resource gen 4 8 0.503
parse gen 7 12 0.606
varargs gen 37 59 0.624
asdl_generated gen 5 8 0.672
files gen 4 4 0.901
cartesian gen 8 8 0.992
control_flow gen 8 4 1.999
tuple_return_value gen 0 0 NA

raw benchmark files