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
containers gen 0 119 0.000
modules gen 0 183 0.000
fib_iter gen 8 904 0.008
fib_recursive gen 11 884 0.012
loops gen 4 289 0.013
asdl_generated gen 11 372 0.029
parse gen 25 769 0.033
scoped_resource gen 47 1,050 0.044
files gen 4 72 0.053
classes gen 3 22 0.147
tuple_return_value gen 29 177 0.165
length gen 44 202 0.220
escape gen 94 348 0.270
cartesian gen 91 335 0.270
cgi gen 269 506 0.531
varargs gen 16 16 0.985
control_flow gen 212 107 1.982
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 10.8 0.40
parse gen 3.8 7.7 0.49
scoped_resource gen 3.7 7.2 0.51
cartesian gen 3.5 6.9 0.51
fib_iter gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
asdl_generated gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
modules gen 3.7 6.8 0.54
cgi gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
escape gen 3.7 6.7 0.55
files gen 3.8 6.8 0.56
control_flow gen 3.9 6.9 0.57
tuple_return_value gen 3.9 6.9 0.57
containers gen 28.5 48.0 0.59
varargs gen 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 8 0.000
cartesian gen 0 4 0.000
cgi gen 0 8 0.000
classes gen 0 9 0.000
control_flow gen 0 8 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 12 0.000
gc_stack_roots gen 0 12 0.000
length gen 0 8 0.000
loops gen 0 4 0.000
scoped_resource gen 0 8 0.000
tuple_return_value gen 0 16 0.000
parse gen 4 4 0.908
varargs gen 51 56 0.914
files gen 4 4 0.948
containers gen 15 16 0.966
escape gen 12 8 1.533
modules gen 2 0 inf

raw benchmark files