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++ C++-Souffle Python C++ : Python
fib_iter gen 8 4 900 0.008
modules gen 2 2 191 0.009
fib_recursive gen 11 11 950 0.011
loops gen 4 0 296 0.012
asdl_generated gen 11 7 402 0.027
containers gen 4 10 118 0.033
parse gen 30 15 774 0.039
scoped_resource gen 44 45 1,023 0.043
tuple_return_value gen 15 18 190 0.080
files gen 7 7 80 0.092
classes gen 3 0 26 0.126
gc_stack_roots gen 2 0 10 0.180
length gen 44 46 212 0.208
cartesian gen 83 70 330 0.252
escape gen 98 99 354 0.276
cgi gen 265 267 523 0.507
varargs gen 16 33 32 0.513
control_flow gen 200 162 108 1.851
pea_hello gen NA NA 11 NA

Max Resident Set Size (MB)

Lower ratios are better. We use MB (powers of 10), not MiB (powers of 2).

example name gen C++ C++-Souffle Python C++ : Python
classes gen 4.3 4.5 12.3 0.35
asdl_generated gen 3.5 3.7 8.5 0.42
cartesian gen 3.5 3.7 8.5 0.42
fib_recursive gen 3.5 3.7 8.5 0.42
gc_stack_roots gen 3.5 3.5 8.5 0.42
parse gen 3.8 3.8 9.0 0.42
fib_iter gen 3.7 3.9 8.5 0.43
cgi gen 3.7 3.7 8.4 0.44
scoped_resource gen 3.7 3.7 8.4 0.44
escape gen 3.8 3.7 8.5 0.45
length gen 3.8 3.8 8.5 0.45
files gen 3.8 3.8 8.4 0.45
loops gen 3.8 3.7 8.4 0.45
modules gen 3.9 3.8 8.5 0.46
tuple_return_value gen 3.9 3.8 8.5 0.46
control_flow gen 3.9 3.8 8.4 0.47
containers gen 28.5 28.5 48.9 0.58
varargs gen 5.6 5.6 8.5 0.66
pea_hello gen NA NA 8.1 NA

System Time (milliseconds)

Lower ratios are better.

example name gen C++ C++-Souffle Python C++ : Python
asdl_generated gen 0 4 8 0.000
classes gen 0 3 13 0.000
fib_iter gen 0 4 8 0.000
fib_recursive gen 0 0 8 0.000
files gen 0 0 4 0.000
gc_stack_roots gen 0 2 10 0.000
length gen 0 0 4 0.000
loops gen 0 3 8 0.000
modules gen 0 0 8 0.000
parse gen 0 12 8 0.000
scoped_resource gen 4 0 16 0.250
containers gen 12 5 28 0.426
tuple_return_value gen 4 0 8 0.472
cgi gen 4 12 8 0.496
escape gen 8 4 16 0.512
control_flow gen 8 0 12 0.653
cartesian gen 8 16 8 0.996
varargs gen 49 33 48 1.027
pea_hello gen NA NA 7 NA

raw benchmark files