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 23 0.000
fib_iter gen 8 914 0.008
modules gen 2 174 0.010
loops gen 4 305 0.012
fib_recursive gen 11 888 0.012
asdl_generated gen 5 378 0.014
parse gen 29 792 0.037
scoped_resource gen 48 1,024 0.047
containers gen 12 119 0.098
tuple_return_value gen 20 189 0.105
files gen 7 66 0.113
length gen 36 205 0.176
cartesian gen 85 338 0.251
escape gen 105 353 0.298
cgi gen 261 515 0.506
control_flow gen 207 108 1.908
varargs gen 36 16 2.278
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 4.5 10.6 0.42
gc_stack_roots gen 3.4 6.9 0.49
parse gen 3.8 7.7 0.49
cartesian gen 3.5 7.1 0.50
modules gen 3.5 7.1 0.50
length gen 3.5 6.9 0.51
asdl_generated gen 3.5 6.8 0.52
tuple_return_value gen 3.7 6.9 0.53
scoped_resource gen 3.8 7.1 0.54
cgi gen 3.7 6.8 0.54
control_flow gen 3.7 6.8 0.54
escape gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
loops gen 3.8 6.9 0.55
fib_iter gen 3.8 6.8 0.56
fib_recursive gen 3.8 6.8 0.56
containers gen 28.7 47.8 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
escape gen 0 4 0.000
fib_iter gen 0 4 0.000
files gen 0 12 0.000
gc_stack_roots gen 0 12 0.000
loops gen 0 4 0.000
modules gen 0 8 0.000
parse gen 0 12 0.000
scoped_resource gen 0 16 0.000
tuple_return_value gen 0 4 0.000
containers gen 4 16 0.246
classes gen 3 8 0.414
varargs gen 28 56 0.506
cgi gen 8 8 1.004
control_flow gen 4 4 1.010
cartesian gen 4 4 1.018
asdl_generated gen 5 4 1.367
length gen 8 4 2.035
fib_recursive gen 0 0 NA

raw benchmark files