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
fib_iter gen 8 1,036 0.008
modules gen 2 185 0.010
asdl_generated gen 4 382 0.010
fib_recursive gen 11 979 0.011
loops gen 4 286 0.014
parse gen 26 771 0.034
containers gen 4 117 0.035
scoped_resource gen 44 1,063 0.041
files gen 8 76 0.100
tuple_return_value gen 20 183 0.111
classes gen 4 20 0.181
length gen 40 206 0.197
cartesian gen 82 328 0.250
escape gen 99 342 0.291
cgi gen 241 500 0.482
varargs gen 8 16 0.510
control_flow gen 212 101 2.093
gc_stack_roots gen 0 0 NA

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
parse gen 3.8 7.6 0.50
fib_iter gen 3.5 6.9 0.51
scoped_resource gen 3.7 7.1 0.52
cartesian gen 3.5 6.8 0.52
asdl_generated gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
tuple_return_value gen 3.8 7.1 0.54
files gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
control_flow gen 3.9 7.1 0.56
containers gen 28.6 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
classes gen 0 12 0.000
control_flow gen 0 12 0.000
fib_iter gen 0 12 0.000
fib_recursive gen 0 4 0.000
files gen 0 12 0.000
loops gen 0 12 0.000
modules gen 0 8 0.000
tuple_return_value gen 0 12 0.000
gc_stack_roots gen 2 13 0.137
scoped_resource gen 4 12 0.331
containers gen 12 24 0.515
escape gen 8 12 0.659
parse gen 4 4 0.935
cgi gen 12 12 0.988
length gen 4 4 1.004
varargs gen 58 57 1.021
asdl_generated gen 7 0 inf
cartesian gen 8 0 inf

raw benchmark files