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
gc_stack_roots gen 0 4 0.000
fib_iter gen 4 884 0.004
modules gen 2 167 0.011
fib_recursive gen 11 891 0.012
loops gen 4 303 0.014
asdl_generated gen 7 390 0.019
parse gen 26 767 0.033
scoped_resource gen 47 1,071 0.044
files gen 7 79 0.095
containers gen 12 116 0.105
tuple_return_value gen 20 191 0.106
classes gen 4 23 0.157
length gen 41 207 0.199
cartesian gen 82 334 0.245
escape gen 103 350 0.295
varargs gen 8 20 0.393
cgi gen 265 504 0.526
control_flow gen 208 110 1.901

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 10.7 0.40
gc_stack_roots gen 3.5 7.1 0.50
cartesian gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
files gen 3.7 6.8 0.54
fib_iter gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
cgi gen 3.7 6.7 0.55
fib_recursive gen 3.9 7.1 0.56
control_flow 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
classes gen 0 8 0.000
fib_recursive gen 0 8 0.000
files gen 0 4 0.000
modules gen 0 16 0.000
scoped_resource gen 0 12 0.000
tuple_return_value gen 0 4 0.000
containers gen 4 20 0.203
gc_stack_roots gen 2 8 0.231
parse gen 4 8 0.458
cgi gen 4 8 0.502
asdl_generated gen 4 4 0.904
fib_iter gen 4 4 0.969
control_flow gen 4 4 0.987
escape gen 4 4 0.988
varargs gen 59 52 1.134
cartesian gen 8 4 2.037
length gen 4 0 inf
loops gen 0 0 NA

raw benchmark files