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_iter gen 4 887 0.004
asdl_generated gen 4 375 0.010
modules gen 2 174 0.010
fib_recursive gen 11 877 0.012
loops gen 4 281 0.014
parse gen 29 789 0.037
scoped_resource gen 43 1,039 0.042
files gen 4 72 0.053
tuple_return_value gen 16 187 0.087
classes gen 3 27 0.119
containers gen 16 99 0.159
length gen 37 211 0.173
cartesian gen 92 341 0.271
escape gen 99 347 0.285
varargs gen 8 20 0.412
cgi gen 269 514 0.525
control_flow gen 211 110 1.918
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 10.9 0.40
parse gen 3.8 7.5 0.51
cartesian gen 3.5 6.9 0.51
scoped_resource gen 3.5 6.9 0.51
cgi gen 3.7 7.1 0.52
gc_stack_roots gen 3.7 7.1 0.52
loops gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
control_flow gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
fib_recursive gen 3.8 7.1 0.54
files gen 3.8 7.1 0.54
escape gen 3.7 6.8 0.54
modules gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
length gen 3.8 6.8 0.56
containers gen 28.5 47.8 0.60
varargs gen 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 4 0.000
classes gen 0 4 0.000
containers gen 0 36 0.000
control_flow gen 0 8 0.000
fib_recursive gen 0 4 0.000
gc_stack_roots gen 0 12 0.000
loops gen 0 12 0.000
modules gen 0 8 0.000
parse gen 0 8 0.000
fib_iter gen 4 12 0.322
tuple_return_value gen 4 12 0.340
asdl_generated gen 7 12 0.620
files gen 4 4 0.960
scoped_resource gen 4 4 0.988
escape gen 8 8 1.034
varargs gen 58 52 1.110
length gen 8 0 inf
cartesian gen 0 0 NA

raw benchmark files