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 4 0.000
fib_recursive gen 8 880 0.009
fib_iter gen 8 883 0.009
modules gen 2 186 0.010
loops gen 4 302 0.014
asdl_generated gen 11 371 0.030
parse gen 25 812 0.031
containers gen 4 112 0.036
scoped_resource gen 44 1,044 0.042
files gen 4 74 0.051
tuple_return_value gen 16 196 0.083
classes gen 4 20 0.194
length gen 46 200 0.228
cartesian gen 91 324 0.281
escape gen 100 346 0.289
varargs gen 8 20 0.385
cgi gen 265 525 0.505
control_flow gen 210 114 1.850

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 3.5 7.1 0.50
files gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
tuple_return_value gen 3.8 7.1 0.54
cartesian gen 3.7 6.8 0.54
length gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
fib_iter gen 3.9 6.9 0.57
containers gen 28.5 47.8 0.59
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
cartesian gen 0 8 0.000
classes gen 0 12 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 12 0.000
length gen 0 8 0.000
loops gen 0 8 0.000
modules gen 0 4 0.000
gc_stack_roots gen 2 8 0.225
containers gen 12 28 0.433
fib_recursive gen 4 8 0.491
scoped_resource gen 4 8 0.502
tuple_return_value gen 4 8 0.507
parse gen 4 8 0.526
files gen 4 4 0.917
escape gen 8 8 0.993
varargs gen 58 53 1.111
cgi gen 4 0 inf

raw benchmark files