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 8 882 0.009
modules gen 2 2 184 0.010
fib_recursive gen 11 7 895 0.012
loops gen 4 0 301 0.012
asdl_generated gen 7 11 380 0.019
parse gen 26 23 782 0.033
scoped_resource gen 44 45 1,033 0.042
files gen 4 7 80 0.046
tuple_return_value gen 12 15 194 0.059
containers gen 12 9 118 0.098
classes gen 3 0 27 0.118
varargs gen 4 15 28 0.146
gc_stack_roots gen 2 2 11 0.150
cartesian gen 81 78 343 0.236
length gen 55 38 209 0.262
escape gen 105 94 358 0.293
cgi gen 249 269 523 0.477
control_flow gen 217 163 112 1.931
pea_hello gen NA NA 14 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 4.5 12.3 0.36
parse gen 3.7 3.8 9.1 0.40
gc_stack_roots gen 3.4 3.7 8.4 0.41
modules gen 3.5 3.5 8.7 0.41
asdl_generated gen 3.7 3.5 8.5 0.43
cartesian gen 3.7 3.7 8.5 0.43
escape gen 3.7 3.5 8.5 0.43
cgi gen 3.7 3.7 8.4 0.44
length gen 3.7 3.8 8.4 0.44
fib_recursive gen 3.8 3.8 8.5 0.45
files gen 3.8 3.8 8.5 0.45
scoped_resource gen 3.8 3.7 8.5 0.45
loops gen 3.8 3.8 8.4 0.45
tuple_return_value gen 3.8 3.7 8.4 0.45
control_flow gen 3.9 3.9 8.4 0.47
fib_iter gen 3.9 3.9 8.4 0.47
containers gen 28.4 28.4 48.9 0.58
varargs gen 5.5 5.2 8.4 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
classes gen 0 3 12 0.000
control_flow gen 0 0 8 0.000
escape gen 0 8 8 0.000
fib_iter gen 0 0 16 0.000
fib_recursive gen 0 4 8 0.000
gc_stack_roots gen 0 0 8 0.000
loops gen 0 3 4 0.000
modules gen 0 0 12 0.000
containers gen 4 5 24 0.164
cgi gen 4 8 12 0.336
parse gen 4 4 12 0.362
asdl_generated gen 4 0 8 0.448
length gen 4 8 8 0.486
scoped_resource gen 4 0 8 0.497
files gen 4 0 4 0.912
varargs gen 61 50 52 1.180
tuple_return_value gen 8 4 4 1.900
cartesian gen 12 8 4 2.900
pea_hello gen NA NA 5 NA

raw benchmark files