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 1 0 197 0.004
fib_iter gen 8 6 913 0.008
fib_recursive gen 9 9 965 0.009
loops gen 3 2 303 0.010
asdl_generated gen 8 11 391 0.020
parse gen 28 25 776 0.036
scoped_resource gen 52 40 1,055 0.050
containers gen 6 4 118 0.050
tuple_return_value gen 18 15 194 0.094
files gen 8 6 75 0.101
classes gen 3 3 30 0.105
gc_stack_roots gen 2 1 12 0.136
length gen 42 37 211 0.200
cartesian gen 80 80 335 0.237
escape gen 102 97 360 0.284
cgi gen 268 267 517 0.517
varargs gen 14 19 23 0.609
control_flow gen 212 162 114 1.862
pea_hello gen NA NA 12 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 8.5 0.40
cartesian gen 3.5 3.5 8.5 0.42
parse gen 3.8 3.9 9.1 0.42
scoped_resource gen 3.5 3.5 8.4 0.42
escape gen 3.7 3.5 8.5 0.43
asdl_generated gen 3.7 3.8 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
fib_recursive gen 3.8 3.7 8.5 0.45
files gen 3.8 3.8 8.5 0.45
length gen 3.8 3.7 8.5 0.45
loops gen 3.8 3.9 8.4 0.45
tuple_return_value gen 3.8 3.7 8.4 0.45
modules gen 3.9 3.7 8.7 0.45
control_flow gen 3.9 3.8 8.5 0.46
containers gen 28.8 28.6 48.9 0.59
varargs gen 5.5 5.5 8.5 0.65
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 0 8 0.000
control_flow gen 0 2 7 0.000
fib_iter gen 0 1 9 0.000
files gen 0 2 8 0.000
gc_stack_roots gen 0 1 6 0.000
loops gen 1 1 8 0.120
modules gen 1 2 7 0.125
cgi gen 2 4 11 0.182
parse gen 2 2 10 0.201
containers gen 6 6 25 0.235
length gen 2 8 8 0.252
tuple_return_value gen 1 3 4 0.252
fib_recursive gen 2 2 7 0.279
scoped_resource gen 2 6 7 0.288
asdl_generated gen 3 0 6 0.485
escape gen 4 6 6 0.662
varargs gen 25 21 29 0.863
cartesian gen 12 6 8 1.492
pea_hello gen NA NA 5 NA

raw benchmark files