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 31 0.000
fib_iter gen 8 887 0.009
modules gen 2 178 0.011
fib_recursive gen 11 883 0.012
loops gen 4 286 0.013
asdl_generated gen 5 376 0.014
containers gen 4 115 0.035
parse gen 29 776 0.038
scoped_resource gen 40 1,025 0.039
tuple_return_value gen 20 209 0.097
files gen 8 68 0.112
length gen 38 209 0.182
gc_stack_roots gen 2 8 0.221
cartesian gen 87 349 0.249
escape gen 97 349 0.278
cgi gen 256 510 0.502
varargs gen 20 12 1.623
control_flow gen 210 110 1.906

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
gc_stack_roots gen 3.4 6.9 0.49
escape gen 3.5 6.9 0.51
scoped_resource gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
modules gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
fib_iter gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
fib_recursive gen 3.9 6.9 0.57
tuple_return_value gen 3.9 6.9 0.57
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
control_flow gen 0 4 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 4 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 4 0.000
loops gen 0 12 0.000
modules gen 0 4 0.000
parse gen 0 8 0.000
cartesian gen 4 12 0.332
containers gen 12 36 0.340
scoped_resource gen 8 16 0.498
asdl_generated gen 5 8 0.676
varargs gen 47 60 0.779
escape gen 8 4 2.018
classes gen 3 0 inf
length gen 8 0 inf
tuple_return_value gen 0 0 NA

raw benchmark files