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 2 183 0.005
fib_iter gen 6 7 895 0.006
loops gen 3 2 292 0.010
fib_recursive gen 10 10 877 0.011
asdl_generated gen 8 9 380 0.021
parse gen 27 25 763 0.036
scoped_resource gen 46 42 1,051 0.044
classes gen 1 3 18 0.047
containers gen 6 8 115 0.053
files gen 5 7 69 0.067
tuple_return_value gen 20 19 186 0.106
length gen 41 37 203 0.204
cartesian gen 84 76 328 0.256
gc_stack_roots gen 2 1 7 0.270
escape gen 104 105 349 0.297
cgi gen 268 264 519 0.517
varargs gen 13 18 15 0.872
control_flow gen 210 159 111 1.901

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 4.6 4.3 10.8 0.43
gc_stack_roots gen 3.4 3.4 6.9 0.49
cgi gen 3.5 3.7 7.1 0.50
parse gen 3.9 3.8 7.7 0.51
cartesian gen 3.7 3.7 6.9 0.53
escape gen 3.7 3.7 6.9 0.53
length gen 3.7 3.8 6.9 0.53
asdl_generated gen 3.8 3.8 7.1 0.54
fib_recursive gen 3.8 3.7 7.1 0.54
files gen 3.8 3.8 7.1 0.54
loops gen 3.8 3.8 7.1 0.54
scoped_resource gen 3.8 3.7 7.1 0.54
tuple_return_value gen 3.8 3.8 7.1 0.54
fib_iter gen 3.8 3.8 6.9 0.55
modules gen 3.8 3.7 6.9 0.55
control_flow gen 3.9 3.9 6.9 0.57
containers gen 28.8 28.8 47.6 0.60
varargs gen 5.6 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name gen C++ C++-Souffle Python C++ : Python
gc_stack_roots gen 0 1 5 0.000
loops gen 1 1 8 0.122
control_flow gen 1 1 7 0.142
fib_recursive gen 1 1 7 0.143
tuple_return_value gen 1 1 6 0.172
parse gen 2 2 11 0.183
classes gen 3 0 12 0.211
modules gen 1 0 4 0.231
containers gen 6 3 23 0.266
files gen 3 1 7 0.403
fib_iter gen 2 1 4 0.476
asdl_generated gen 3 3 6 0.499
escape gen 5 6 7 0.712
cgi gen 3 6 4 0.750
length gen 4 8 5 0.787
scoped_resource gen 6 4 7 0.855
varargs gen 28 23 31 0.909
cartesian gen 7 10 7 0.999

raw benchmark files