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
files gen 0 64 0.000
loops gen 0 292 0.000
fib_iter gen 8 891 0.009
modules gen 2 179 0.010
fib_recursive gen 11 876 0.012
asdl_generated gen 11 384 0.028
parse gen 29 778 0.038
scoped_resource gen 42 1,034 0.041
containers gen 8 113 0.070
tuple_return_value gen 16 186 0.086
length gen 41 205 0.201
cartesian gen 76 325 0.233
classes gen 3 11 0.282
escape gen 99 348 0.285
gc_stack_roots gen 2 4 0.428
cgi gen 269 504 0.534
varargs gen 16 16 1.001
control_flow gen 209 108 1.930

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
cartesian gen 3.5 7.1 0.50
parse gen 3.8 7.6 0.50
asdl_generated gen 3.5 6.9 0.51
cgi gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
scoped_resource gen 3.7 7.1 0.52
escape gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
fib_recursive 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
length gen 3.8 6.8 0.56
control_flow gen 3.9 6.9 0.57
containers gen 28.5 47.8 0.60
varargs gen 5.6 6.8 0.83

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 12 0.000
classes gen 0 19 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 12 0.000
gc_stack_roots gen 0 8 0.000
modules gen 0 4 0.000
parse gen 0 8 0.000
loops gen 4 12 0.306
containers gen 8 24 0.326
length gen 4 8 0.467
tuple_return_value gen 4 8 0.508
scoped_resource gen 4 8 0.531
files gen 7 12 0.615
varargs gen 52 56 0.929
escape gen 8 8 1.005
cartesian gen 16 4 4.023
asdl_generated gen 0 0 NA

raw benchmark files