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
loops gen 0 295 0.000
modules gen 0 177 0.000
fib_recursive gen 7 888 0.008
fib_iter gen 8 889 0.009
asdl_generated gen 5 378 0.014
parse gen 29 747 0.039
scoped_resource gen 48 1,020 0.047
files gen 4 68 0.055
tuple_return_value gen 13 192 0.070
containers gen 12 104 0.113
classes gen 3 15 0.214
length gen 45 201 0.222
cartesian gen 83 324 0.255
escape gen 107 347 0.307
gc_stack_roots gen 2 4 0.450
cgi gen 269 516 0.521
varargs gen 12 17 0.696
control_flow gen 208 105 1.983

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
gc_stack_roots gen 3.4 7.1 0.48
fib_iter gen 3.4 6.9 0.49
parse gen 3.8 7.6 0.50
scoped_resource gen 3.5 7.1 0.50
cartesian gen 3.5 6.9 0.51
escape gen 3.5 6.9 0.51
asdl_generated gen 3.7 7.1 0.52
cgi gen 3.7 6.9 0.53
control_flow gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
fib_recursive gen 3.8 6.9 0.55
files 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 5.5 6.8 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 4 0.000
classes gen 0 15 0.000
control_flow gen 0 8 0.000
escape gen 0 12 0.000
fib_iter gen 0 8 0.000
gc_stack_roots gen 0 8 0.000
length gen 0 4 0.000
parse gen 0 16 0.000
scoped_resource gen 0 8 0.000
containers gen 4 32 0.122
modules gen 2 4 0.449
files gen 4 8 0.469
loops gen 3 4 0.732
cartesian gen 8 8 0.983
varargs gen 54 54 0.999
asdl_generated gen 5 4 1.347
fib_recursive gen 4 0 inf
tuple_return_value gen 7 0 inf

raw benchmark files