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 4 905 0.008
modules gen 2 2 189 0.009
fib_recursive gen 11 11 904 0.012
loops gen 4 3 292 0.013
asdl_generated gen 11 7 385 0.028
parse gen 30 23 755 0.040
scoped_resource gen 48 41 1,042 0.046
files gen 7 8 78 0.093
tuple_return_value gen 19 18 189 0.102
classes gen 3 4 27 0.116
containers gen 16 9 109 0.143
length gen 37 41 211 0.175
cartesian gen 80 82 356 0.224
escape gen 101 99 354 0.286
cgi gen 256 267 524 0.487
varargs gen 15 27 12 1.232
control_flow gen 208 163 110 1.891
gc_stack_roots gen 2 0 0 inf
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 4.3 12.1 0.37
parse gen 3.7 3.8 9.0 0.41
modules gen 3.5 3.7 8.7 0.41
cgi gen 3.5 3.5 8.5 0.42
fib_iter gen 3.5 3.8 8.5 0.42
gc_stack_roots gen 3.5 3.4 8.5 0.42
control_flow gen 3.7 3.7 8.7 0.42
scoped_resource gen 3.7 3.8 8.5 0.43
tuple_return_value gen 3.7 3.8 8.5 0.43
asdl_generated gen 3.7 3.5 8.4 0.44
escape gen 3.7 3.5 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
loops gen 3.8 3.8 8.5 0.45
cartesian gen 3.8 3.7 8.4 0.45
files gen 3.8 3.7 8.4 0.45
containers gen 28.7 28.6 49.1 0.58
varargs gen 5.5 5.5 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
asdl_generated gen 0 4 4 0.000
cgi gen 0 4 12 0.000
classes gen 0 0 12 0.000
containers gen 0 5 35 0.000
control_flow gen 0 0 12 0.000
fib_iter gen 0 4 4 0.000
files gen 0 0 4 0.000
gc_stack_roots gen 0 2 20 0.000
loops gen 0 0 12 0.000
modules gen 0 0 8 0.000
parse gen 0 4 20 0.000
scoped_resource gen 0 4 12 0.000
tuple_return_value gen 0 0 8 0.000
escape gen 4 4 8 0.503
varargs gen 50 39 67 0.751
length gen 7 4 8 0.928
cartesian gen 12 4 12 1.009
fib_recursive gen 0 0 0 NA
pea_hello gen NA NA 5 NA

raw benchmark files