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 8 0.000
loops gen 0 290 0.000
modules gen 0 182 0.000
fib_iter gen 8 1,033 0.007
fib_recursive gen 11 875 0.012
asdl_generated gen 7 383 0.019
scoped_resource gen 39 1,037 0.037
parse gen 29 758 0.038
tuple_return_value gen 12 209 0.058
files gen 7 67 0.111
containers gen 16 131 0.120
classes gen 3 23 0.145
cartesian gen 69 345 0.200
length gen 41 202 0.203
escape gen 111 350 0.317
cgi gen 267 509 0.525
varargs gen 16 24 0.652
control_flow gen 210 112 1.884

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
fib_recursive gen 3.5 7.1 0.50
parse gen 3.8 7.5 0.51
cartesian gen 3.5 6.9 0.51
escape gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
cgi gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
loops gen 3.8 7.2 0.53
length gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
asdl_generated gen 3.8 7.1 0.54
fib_iter gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
containers gen 28.5 47.8 0.60
varargs gen 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
classes gen 0 8 0.000
containers gen 0 28 0.000
control_flow gen 0 4 0.000
escape gen 0 4 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 8 0.000
files gen 0 8 0.000
parse gen 0 8 0.000
modules gen 2 8 0.231
cgi gen 4 12 0.334
asdl_generated gen 4 8 0.449
gc_stack_roots gen 2 4 0.476
length gen 4 8 0.518
loops gen 4 4 0.932
varargs gen 51 48 1.059
cartesian gen 20 12 1.707
scoped_resource gen 8 4 1.940
tuple_return_value gen 8 0 inf

raw benchmark files