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
gc_stack_roots gen 0 12 0.000
fib_iter gen 8 906 0.008
modules gen 2 181 0.010
asdl_generated gen 4 373 0.010
fib_recursive gen 11 882 0.012
loops gen 4 299 0.012
parse gen 27 762 0.035
containers gen 4 108 0.037
scoped_resource gen 47 1,026 0.045
files gen 4 65 0.058
tuple_return_value gen 16 193 0.083
classes gen 3 23 0.139
length gen 40 201 0.200
cartesian gen 90 322 0.279
escape gen 103 345 0.298
cgi gen 269 508 0.529
varargs gen 19 16 1.208
control_flow gen 203 110 1.842

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
gc_stack_roots gen 3.4 7.1 0.48
asdl_generated gen 3.4 6.9 0.49
scoped_resource gen 3.5 7.1 0.50
parse gen 3.9 7.7 0.51
cgi gen 3.7 7.1 0.52
loops gen 3.8 7.2 0.53
cartesian gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
tuple_return_value gen 3.8 7.1 0.54
escape gen 3.7 6.8 0.54
fib_iter gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
control_flow gen 3.8 6.8 0.56
containers gen 28.5 47.8 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cartesian gen 0 8 0.000
cgi gen 0 8 0.000
classes gen 0 8 0.000
fib_iter gen 0 8 0.000
loops gen 0 4 0.000
modules gen 0 8 0.000
scoped_resource gen 0 12 0.000
parse gen 4 12 0.320
files gen 4 12 0.330
containers gen 12 28 0.431
escape gen 4 8 0.492
control_flow gen 4 8 0.506
length gen 4 8 0.511
varargs gen 47 56 0.828
asdl_generated gen 7 8 0.925
gc_stack_roots gen 2 0 inf
tuple_return_value gen 4 0 inf
fib_recursive gen 0 0 NA

raw benchmark files