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 8 883 0.009
modules gen 2 185 0.010
fib_recursive gen 11 883 0.012
loops gen 4 293 0.013
asdl_generated gen 7 384 0.019
scoped_resource gen 38 1,030 0.037
parse gen 29 775 0.038
containers gen 12 120 0.100
tuple_return_value gen 20 189 0.106
files gen 8 70 0.109
length gen 46 205 0.225
cartesian gen 86 341 0.252
classes gen 3 11 0.280
escape gen 101 340 0.298
cgi gen 265 513 0.517
varargs gen 23 24 0.970
control_flow gen 208 104 1.989
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 4.5 10.7 0.41
gc_stack_roots gen 3.4 7.1 0.48
parse gen 3.7 7.6 0.48
cgi gen 3.5 6.9 0.51
fib_iter gen 3.5 6.9 0.51
escape gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
cartesian gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
asdl_generated gen 3.8 7.1 0.54
fib_recursive gen 3.8 7.1 0.54
files gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
tuple_return_value gen 3.8 7.1 0.54
modules gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
containers gen 28.4 47.8 0.59
varargs gen 5.5 6.8 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
classes gen 0 19 0.000
control_flow gen 0 12 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 8 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 12 0.000
length gen 0 4 0.000
loops gen 0 4 0.000
parse gen 0 8 0.000
tuple_return_value gen 0 4 0.000
containers gen 4 16 0.249
escape gen 4 16 0.256
asdl_generated gen 4 8 0.453
cgi gen 4 8 0.494
cartesian gen 4 8 0.510
varargs gen 43 48 0.889
scoped_resource gen 9 8 1.065
modules gen 0 0 NA

raw benchmark files