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
modules gen 0 1 193 0.000
fib_iter gen 8 7 938 0.008
fib_recursive gen 10 9 890 0.011
loops gen 4 2 301 0.013
asdl_generated gen 7 10 404 0.017
parse gen 27 24 767 0.035
classes gen 1 2 29 0.036
scoped_resource gen 45 40 1,069 0.042
files gen 5 6 77 0.058
containers gen 8 4 110 0.072
tuple_return_value gen 18 16 193 0.095
gc_stack_roots gen 1 0 6 0.147
length gen 38 44 209 0.182
cartesian gen 86 83 341 0.253
escape gen 100 99 371 0.271
cgi gen 268 266 533 0.503
varargs gen 13 20 25 0.525
control_flow gen 207 160 111 1.866
pea_hello gen NA NA 15 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
gc_stack_roots gen 3.4 3.5 8.4 0.41
asdl_generated gen 3.5 3.5 8.4 0.42
fib_recursive gen 3.5 3.7 8.4 0.42
modules gen 3.7 3.7 8.7 0.42
escape gen 3.7 3.7 8.5 0.43
scoped_resource gen 3.7 3.8 8.5 0.43
cartesian gen 3.7 3.5 8.4 0.44
cgi gen 3.7 3.7 8.4 0.44
fib_iter gen 3.7 3.7 8.4 0.44
length gen 3.7 3.8 8.4 0.44
parse gen 3.9 3.9 9.0 0.44
loops gen 3.8 3.7 8.7 0.44
tuple_return_value gen 3.8 3.8 8.5 0.45
files gen 3.8 3.7 8.4 0.45
control_flow gen 3.8 3.9 8.3 0.46
containers gen 28.9 28.8 49.1 0.59
varargs gen 5.4 5.4 8.4 0.64
pea_hello gen NA NA 8.1 NA

System Time (milliseconds)

Lower ratios are better.

example name gen C++ C++-Souffle Python C++ : Python
fib_iter gen 0 1 8 0.000
loops gen 0 1 9 0.000
gc_stack_roots gen 1 2 13 0.068
tuple_return_value gen 1 4 10 0.102
containers gen 4 6 34 0.117
fib_recursive gen 1 2 5 0.197
classes gen 2 1 9 0.234
modules gen 2 1 7 0.245
control_flow gen 2 2 8 0.250
parse gen 3 3 12 0.251
cgi gen 2 3 7 0.286
files gen 3 2 7 0.386
scoped_resource gen 4 6 8 0.501
length gen 6 3 11 0.548
escape gen 5 4 9 0.554
asdl_generated gen 4 1 6 0.655
varargs gen 26 19 28 0.937
cartesian gen 5 6 5 1.006
pea_hello gen NA NA 3 NA

raw benchmark files