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 27 0.000
fib_recursive gen 7 879 0.008
fib_iter gen 7 902 0.008
modules gen 2 180 0.010
loops gen 4 299 0.012
asdl_generated gen 11 374 0.029
scoped_resource gen 35 1,018 0.035
parse gen 29 796 0.036
containers gen 8 88 0.086
tuple_return_value gen 16 188 0.086
files gen 7 67 0.111
length gen 40 207 0.195
gc_stack_roots gen 2 8 0.220
cartesian gen 82 329 0.249
escape gen 94 346 0.270
cgi gen 270 526 0.514
control_flow gen 210 106 1.986
varargs gen 17 8 1.999

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 6.8 0.50
parse gen 3.8 7.6 0.50
escape gen 3.5 6.9 0.51
cartesian gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
fib_iter gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
files gen 3.8 6.9 0.55
length 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 28.5 47.8 0.59
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 8 0.000
cgi gen 0 4 0.000
control_flow gen 0 8 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 4 0.000
modules gen 0 4 0.000
containers gen 8 44 0.171
fib_recursive gen 4 8 0.446
varargs gen 50 62 0.800
classes gen 3 4 0.846
scoped_resource gen 12 12 0.974
tuple_return_value gen 4 4 1.009
length gen 4 4 1.013
escape gen 12 8 1.471
cartesian gen 8 4 2.039
fib_iter gen 0 0 NA
loops gen 0 0 NA
parse gen 0 0 NA

raw benchmark files