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 23 0.000
gc_stack_roots gen 0 8 0.000
modules gen 2 229 0.008
fib_iter gen 8 889 0.009
fib_recursive gen 11 878 0.012
loops gen 4 285 0.013
parse gen 21 770 0.027
asdl_generated gen 11 382 0.028
scoped_resource gen 40 1,053 0.038
tuple_return_value gen 20 189 0.106
files gen 7 69 0.107
containers gen 15 103 0.148
length gen 40 192 0.209
cartesian gen 83 337 0.246
escape gen 98 358 0.274
cgi gen 265 525 0.504
varargs gen 21 12 1.716
control_flow gen 207 114 1.820

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 10.7 0.41
parse gen 3.8 7.7 0.49
asdl_generated gen 3.5 7.1 0.50
loops gen 3.7 7.2 0.51
cgi gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
control_flow gen 3.7 7.1 0.52
length gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
escape gen 3.7 6.9 0.53
files gen 3.8 7.1 0.54
fib_iter 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
cartesian gen 3.8 6.8 0.56
fib_recursive gen 3.8 6.8 0.56
containers gen 28.5 47.8 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
containers gen 0 32 0.000
fib_iter gen 0 12 0.000
fib_recursive gen 0 8 0.000
files gen 0 8 0.000
loops gen 0 12 0.000
tuple_return_value gen 0 8 0.000
length gen 4 16 0.256
classes gen 3 8 0.421
gc_stack_roots gen 2 4 0.446
cgi gen 4 8 0.504
parse gen 8 12 0.697
varargs gen 46 60 0.755
scoped_resource gen 8 4 1.981
escape gen 8 4 2.030
cartesian gen 8 0 inf
asdl_generated gen 0 0 NA
control_flow gen 0 0 NA
modules gen 0 0 NA

raw benchmark files