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
modules gen 0 174 0.000
fib_iter gen 8 895 0.009
fib_recursive gen 11 935 0.011
loops gen 4 297 0.013
asdl_generated gen 7 375 0.019
scoped_resource gen 36 1,036 0.034
parse gen 30 756 0.039
containers gen 8 99 0.077
files gen 7 72 0.102
tuple_return_value gen 21 183 0.113
classes gen 3 22 0.148
length gen 41 210 0.196
cartesian gen 74 333 0.222
escape gen 99 352 0.280
cgi gen 261 509 0.512
varargs gen 20 16 1.216
control_flow gen 210 108 1.936
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 4.5 10.8 0.41
gc_stack_roots gen 3.5 7.1 0.50
parse gen 3.8 7.6 0.50
fib_recursive gen 3.5 6.9 0.51
cartesian gen 3.5 6.8 0.52
escape gen 3.5 6.8 0.52
asdl_generated gen 3.7 6.9 0.53
control_flow gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
modules gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
cgi gen 3.7 6.8 0.54
fib_iter 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
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 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 8 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 12 0.000
parse gen 0 16 0.000
tuple_return_value gen 0 8 0.000
containers gen 8 40 0.192
modules gen 2 8 0.236
varargs gen 47 57 0.834
asdl_generated gen 4 4 0.904
length gen 4 4 0.929
scoped_resource gen 12 8 1.488
escape gen 8 4 2.054
cartesian gen 16 4 4.101
loops gen 0 0 NA

raw benchmark files