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
files gen 0 68 0.000
loops gen 0 298 0.000
fib_iter gen 8 904 0.008
modules gen 2 176 0.010
fib_recursive gen 11 888 0.012
parse gen 18 762 0.024
asdl_generated gen 11 375 0.029
containers gen 4 106 0.036
scoped_resource gen 44 1,033 0.043
tuple_return_value gen 20 183 0.109
length gen 30 209 0.145
classes gen 3 19 0.167
cartesian gen 83 328 0.252
escape gen 94 358 0.262
cgi gen 269 511 0.526
control_flow gen 208 111 1.870
varargs gen 16 4 4.042
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 4.3 10.7 0.40
parse gen 3.9 7.7 0.51
cartesian gen 3.5 6.9 0.51
asdl_generated gen 3.7 7.1 0.52
files gen 3.7 7.1 0.52
gc_stack_roots gen 3.5 6.8 0.52
cgi gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_iter gen 3.8 7.1 0.54
length gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
tuple_return_value gen 3.8 7.1 0.54
fib_recursive gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
control_flow gen 3.8 6.8 0.56
containers gen 28.6 47.8 0.60
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
cgi gen 0 8 0.000
classes gen 0 12 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 4 0.000
gc_stack_roots gen 0 12 0.000
modules gen 0 12 0.000
tuple_return_value gen 0 8 0.000
containers gen 12 28 0.406
scoped_resource gen 4 8 0.499
varargs gen 49 68 0.713
files gen 7 8 0.920
parse gen 11 8 1.359
cartesian gen 8 4 2.095
escape gen 12 0 inf
length gen 15 0 inf
loops gen 4 0 inf

raw benchmark files