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 22 0.000
gc_stack_roots gen 0 8 0.000
modules gen 0 173 0.000
fib_iter gen 4 904 0.004
fib_recursive gen 11 891 0.012
loops gen 4 293 0.013
asdl_generated gen 7 382 0.019
parse gen 29 781 0.037
scoped_resource gen 51 1,044 0.049
containers gen 8 107 0.072
tuple_return_value gen 20 196 0.103
files gen 7 72 0.104
length gen 33 205 0.163
cartesian gen 74 368 0.203
escape gen 99 339 0.294
cgi gen 250 513 0.487
varargs gen 12 16 0.735
control_flow gen 212 106 1.991

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
files gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
cgi gen 3.5 6.7 0.53
fib_iter gen 3.8 7.1 0.54
tuple_return_value gen 3.8 7.1 0.54
escape gen 3.7 6.8 0.54
loops gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
length gen 3.9 7.1 0.56
control_flow gen 3.9 6.9 0.57
containers gen 28.4 47.7 0.60
varargs gen 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
control_flow gen 0 8 0.000
fib_recursive gen 0 4 0.000
files gen 0 4 0.000
loops gen 0 4 0.000
parse gen 0 8 0.000
scoped_resource gen 0 8 0.000
modules gen 2 8 0.241
containers gen 8 32 0.244
classes gen 3 9 0.368
gc_stack_roots gen 2 4 0.448
fib_iter gen 4 8 0.475
asdl_generated gen 4 4 0.888
varargs gen 55 56 0.980
escape gen 8 8 0.998
cgi gen 4 4 1.006
length gen 11 4 2.766
cartesian gen 16 0 inf
tuple_return_value gen 0 0 NA

raw benchmark files