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 19 0.000
modules gen 0 175 0.000
fib_iter gen 8 909 0.008
fib_recursive gen 11 873 0.012
loops gen 4 285 0.013
asdl_generated gen 5 377 0.014
parse gen 29 768 0.038
scoped_resource gen 39 1,038 0.038
files gen 7 72 0.103
tuple_return_value gen 21 188 0.109
containers gen 15 121 0.127
length gen 37 202 0.181
cartesian gen 79 324 0.244
gc_stack_roots gen 2 6 0.305
escape gen 121 340 0.357
cgi gen 254 506 0.503
varargs gen 12 8 1.562
control_flow gen 207 115 1.799

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
cartesian gen 3.5 7.1 0.50
scoped_resource gen 3.5 7.1 0.50
asdl_generated 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
fib_recursive gen 3.7 7.1 0.52
parse gen 3.9 7.5 0.53
control_flow gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
files gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
modules gen 3.8 7.1 0.54
fib_iter 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 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 8 0.000
containers gen 0 12 0.000
control_flow gen 0 4 0.000
escape gen 0 12 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 12 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 6 0.000
loops gen 0 12 0.000
parse gen 0 8 0.000
tuple_return_value gen 0 4 0.000
modules gen 2 8 0.225
classes gen 3 11 0.277
scoped_resource gen 8 12 0.656
varargs gen 54 63 0.846
length gen 8 8 1.006
asdl_generated gen 5 4 1.348
cartesian gen 12 8 1.479

raw benchmark files