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 4 904 0.004
modules gen 2 176 0.010
fib_recursive gen 11 882 0.012
loops gen 4 294 0.013
asdl_generated gen 7 374 0.019
parse gen 26 781 0.033
containers gen 4 106 0.037
scoped_resource gen 49 1,038 0.047
tuple_return_value gen 16 181 0.089
files gen 8 72 0.104
classes gen 3 23 0.139
length gen 44 201 0.221
cartesian gen 83 332 0.250
escape gen 107 355 0.300
cgi gen 270 511 0.528
varargs gen 16 27 0.583
control_flow gen 207 115 1.794
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 4.3 10.8 0.40
gc_stack_roots gen 3.4 6.9 0.49
parse gen 3.9 7.6 0.52
cartesian gen 3.7 7.1 0.52
escape gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
length gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
fib_iter gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
scoped_resource gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.8 0.56
control_flow gen 3.9 6.9 0.57
tuple_return_value gen 3.9 6.8 0.58
containers gen 28.6 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 8 0.000
escape gen 0 4 0.000
fib_recursive gen 0 12 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 12 0.000
length gen 0 8 0.000
modules gen 0 8 0.000
scoped_resource gen 0 12 0.000
fib_iter gen 4 12 0.336
tuple_return_value gen 4 12 0.341
containers gen 12 32 0.379
asdl_generated gen 4 8 0.457
parse gen 4 4 0.921
cartesian gen 8 8 0.989
varargs gen 52 47 1.105
control_flow gen 4 0 inf
loops gen 0 0 NA

raw benchmark files