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 8 886 0.009
modules gen 2 173 0.010
fib_recursive gen 11 887 0.012
loops gen 4 287 0.012
parse gen 22 784 0.028
asdl_generated gen 11 382 0.028
scoped_resource gen 47 1,044 0.045
containers gen 8 113 0.068
tuple_return_value gen 20 186 0.110
files gen 8 64 0.121
length gen 34 200 0.169
cartesian gen 81 324 0.251
escape gen 102 347 0.294
cgi gen 265 519 0.511
varargs gen 16 20 0.783
control_flow gen 208 113 1.845
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 10.8 0.41
cartesian gen 3.5 7.1 0.50
scoped_resource gen 3.5 7.1 0.50
gc_stack_roots gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
cgi gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
control_flow 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
modules 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 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
fib_iter gen 0 12 0.000
fib_recursive gen 0 8 0.000
files gen 0 12 0.000
gc_stack_roots gen 0 12 0.000
loops gen 0 12 0.000
modules gen 0 8 0.000
scoped_resource gen 0 8 0.000
tuple_return_value gen 0 8 0.000
containers gen 8 23 0.331
classes gen 3 8 0.423
cgi gen 4 8 0.496
escape gen 4 8 0.511
parse gen 7 12 0.609
varargs gen 51 52 0.978
cartesian gen 8 8 1.015
length gen 11 8 1.409
asdl_generated gen 0 0 NA
control_flow gen 0 0 NA

raw benchmark files