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 23 0.000
fib_iter gen 8 889 0.009
modules gen 2 174 0.010
fib_recursive gen 11 893 0.012
loops gen 4 289 0.012
asdl_generated gen 11 384 0.028
parse gen 29 758 0.038
scoped_resource gen 48 1,045 0.046
containers gen 8 110 0.070
tuple_return_value gen 16 187 0.086
files gen 7 65 0.113
length gen 38 214 0.180
cartesian gen 74 335 0.221
gc_stack_roots gen 2 8 0.221
escape gen 101 339 0.299
cgi gen 251 524 0.479
varargs gen 8 16 0.520
control_flow gen 204 112 1.825

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
parse gen 3.8 7.6 0.50
loops gen 3.7 7.2 0.51
cgi gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
fib_recursive gen 3.7 7.1 0.52
files gen 3.7 7.1 0.52
modules gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
control_flow gen 3.8 7.1 0.54
escape gen 3.7 6.8 0.54
cartesian gen 3.8 6.9 0.55
fib_iter gen 3.9 6.9 0.57
containers gen 28.5 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
asdl_generated gen 0 8 0.000
fib_iter gen 0 8 0.000
files gen 0 11 0.000
gc_stack_roots gen 0 4 0.000
loops gen 0 8 0.000
modules gen 0 8 0.000
parse gen 0 20 0.000
containers gen 8 24 0.314
tuple_return_value gen 4 12 0.336
classes gen 3 8 0.430
escape gen 4 8 0.508
cgi gen 4 4 0.995
control_flow gen 4 4 1.002
varargs gen 58 56 1.039
cartesian gen 16 4 4.122
length gen 8 0 inf
fib_recursive gen 0 0 NA
scoped_resource gen 0 0 NA

raw benchmark files