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
loops gen 0 3 290 0.000
fib_iter gen 8 8 926 0.008
modules gen 2 2 203 0.009
asdl_generated gen 4 11 391 0.009
fib_recursive gen 11 11 885 0.012
parse gen 22 22 773 0.028
containers gen 4 13 129 0.030
scoped_resource gen 48 42 1,031 0.047
files gen 4 4 79 0.047
tuple_return_value gen 15 15 191 0.080
classes gen 3 3 35 0.092
gc_stack_roots gen 2 2 10 0.178
length gen 45 42 214 0.210
cartesian gen 79 77 335 0.236
escape gen 106 88 368 0.289
cgi gen 254 253 526 0.482
varargs gen 31 12 24 1.287
control_flow gen 208 162 109 1.904
pea_hello gen NA NA 4 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 4.5 4.3 12.3 0.36
gc_stack_roots gen 3.4 3.5 8.4 0.41
parse gen 3.8 3.8 9.1 0.42
asdl_generated gen 3.5 3.8 8.4 0.42
cgi gen 3.5 3.5 8.4 0.42
cartesian gen 3.7 3.5 8.5 0.43
modules gen 3.7 3.7 8.5 0.43
escape gen 3.7 3.8 8.4 0.44
fib_recursive gen 3.7 3.7 8.4 0.44
length gen 3.7 3.8 8.4 0.44
scoped_resource gen 3.7 3.5 8.4 0.44
control_flow gen 3.8 3.8 8.5 0.45
fib_iter gen 3.8 3.8 8.5 0.45
loops gen 3.8 3.8 8.5 0.45
tuple_return_value gen 3.8 3.8 8.5 0.45
files gen 3.8 3.7 8.4 0.45
containers gen 28.7 28.9 49.1 0.58
varargs gen 5.5 5.5 8.5 0.65
pea_hello gen NA NA 8.3 NA

System Time (milliseconds)

Lower ratios are better.

example name gen C++ C++-Souffle Python C++ : Python
cgi gen 0 0 8 0.000
classes gen 0 0 4 0.000
control_flow gen 0 0 12 0.000
escape gen 0 12 4 0.000
fib_iter gen 0 0 4 0.000
fib_recursive gen 0 0 8 0.000
gc_stack_roots gen 0 0 10 0.000
length gen 0 4 4 0.000
scoped_resource gen 0 4 4 0.000
loops gen 4 0 12 0.309
tuple_return_value gen 4 4 12 0.319
containers gen 12 0 24 0.487
varargs gen 35 54 56 0.621
asdl_generated gen 7 0 8 0.908
files gen 4 4 4 0.938
parse gen 9 4 8 1.088
cartesian gen 12 8 8 1.485
modules gen 0 0 0 NA
pea_hello gen NA NA 14 NA

raw benchmark files