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
modules gen 0 176 0.000
fib_iter gen 8 886 0.009
fib_recursive gen 11 876 0.013
loops gen 4 284 0.013
asdl_generated gen 11 380 0.029
parse gen 29 781 0.038
scoped_resource gen 47 1,097 0.043
containers gen 8 118 0.069
tuple_return_value gen 20 188 0.107
files gen 8 72 0.111
gc_stack_roots gen 2 12 0.146
classes gen 3 16 0.201
length gen 41 201 0.205
cartesian gen 82 332 0.246
escape gen 104 371 0.281
cgi gen 255 517 0.493
varargs gen 23 16 1.470
control_flow gen 206 113 1.828

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 6.9 0.49
scoped_resource gen 3.5 7.1 0.50
parse gen 3.9 7.6 0.52
escape gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
fib_recursive 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
fib_iter gen 3.7 6.8 0.54
cgi gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
loops gen 3.9 7.1 0.56
control_flow gen 3.9 6.9 0.57
containers gen 28.6 47.8 0.60
varargs gen 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 4 0.000
classes gen 0 16 0.000
fib_iter gen 0 12 0.000
fib_recursive gen 0 8 0.000
files gen 0 4 0.000
loops gen 0 12 0.000
parse gen 0 8 0.000
scoped_resource gen 0 8 0.000
tuple_return_value gen 0 8 0.000
modules gen 2 8 0.235
length gen 4 12 0.317
containers gen 8 20 0.415
escape gen 4 8 0.502
varargs gen 43 56 0.770
control_flow gen 4 4 0.984
cartesian gen 8 4 1.942
cgi gen 0 0 NA
gc_stack_roots gen 0 0 NA

raw benchmark files