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 19 0.000
fib_iter gen 8 907 0.009
modules gen 2 172 0.011
fib_recursive gen 11 881 0.013
loops gen 4 289 0.014
asdl_generated gen 7 376 0.019
parse gen 26 797 0.032
containers gen 4 120 0.033
scoped_resource gen 44 1,029 0.043
files gen 7 72 0.104
tuple_return_value gen 20 195 0.104
length gen 30 199 0.150
gc_stack_roots gen 2 8 0.224
cartesian gen 87 334 0.260
escape gen 103 348 0.297
cgi gen 270 511 0.527
varargs gen 21 12 1.723
control_flow gen 206 112 1.844

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 10.8 0.41
parse gen 3.8 7.6 0.50
cartesian gen 3.5 6.9 0.51
cgi gen 3.5 6.9 0.51
escape gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
loops gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
fib_iter gen 3.9 6.9 0.57
containers gen 28.5 47.8 0.60
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 12 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 4 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 4 0.000
loops gen 0 12 0.000
modules gen 0 12 0.000
asdl_generated gen 4 12 0.304
parse gen 4 12 0.309
classes gen 4 12 0.318
containers gen 12 20 0.597
varargs gen 45 60 0.758
cartesian gen 4 4 0.982
escape gen 4 4 0.993
scoped_resource gen 4 4 0.995
length gen 15 8 1.880
fib_recursive gen 0 0 NA
tuple_return_value gen 0 0 NA

raw benchmark files