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
classes gen 0 3 27 0.000
gc_stack_roots gen 0 2 5 0.000
modules gen 0 2 186 0.000
fib_iter gen 4 4 934 0.004
fib_recursive gen 11 7 886 0.012
loops gen 4 3 294 0.013
asdl_generated gen 7 11 397 0.018
parse gen 23 27 778 0.029
scoped_resource gen 48 35 1,035 0.047
files gen 7 7 75 0.097
tuple_return_value gen 19 18 190 0.101
containers gen 12 0 111 0.109
length gen 45 43 212 0.212
cartesian gen 88 78 331 0.265
escape gen 105 102 350 0.299
cgi gen 254 263 523 0.485
varargs gen 15 16 24 0.647
control_flow gen 218 160 115 1.884
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 4.3 4.5 12.4 0.35
gc_stack_roots gen 3.4 3.5 8.5 0.40
asdl_generated gen 3.5 3.7 8.5 0.42
cgi gen 3.5 3.7 8.4 0.42
escape gen 3.5 3.7 8.4 0.42
length gen 3.5 3.8 8.4 0.42
scoped_resource gen 3.7 3.5 8.5 0.43
parse gen 3.9 3.8 9.1 0.43
cartesian gen 3.7 3.7 8.4 0.44
fib_iter gen 3.7 3.7 8.3 0.44
fib_recursive gen 3.8 3.7 8.5 0.45
loops gen 3.8 3.8 8.5 0.45
files gen 3.8 3.7 8.4 0.45
modules gen 3.8 3.5 8.4 0.45
tuple_return_value gen 3.8 3.5 8.4 0.45
control_flow gen 3.9 3.8 8.5 0.46
containers gen 28.6 28.7 49.2 0.58
varargs gen 5.5 5.4 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
cgi gen 0 4 8 0.000
control_flow gen 0 0 8 0.000
escape gen 0 0 12 0.000
fib_recursive gen 0 4 8 0.000
files gen 0 0 8 0.000
length gen 0 4 8 0.000
loops gen 0 0 8 0.000
scoped_resource gen 0 12 8 0.000
tuple_return_value gen 0 0 8 0.000
gc_stack_roots gen 2 0 14 0.124
containers gen 4 14 32 0.127
modules gen 2 0 12 0.154
classes gen 3 0 11 0.281
asdl_generated gen 4 0 8 0.446
fib_iter gen 4 4 8 0.469
parse gen 8 0 12 0.628
varargs gen 50 49 56 0.901
cartesian gen 4 8 4 1.001
pea_hello gen NA NA 15 NA

raw benchmark files