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++ Python C++ : Python
fib_iter gen 4 894 0.004
modules gen 2 177 0.010
fib_recursive gen 11 887 0.012
loops gen 4 297 0.012
asdl_generated gen 11 382 0.029
parse gen 29 766 0.038
scoped_resource gen 42 1,036 0.041
tuple_return_value gen 20 193 0.104
files gen 8 70 0.109
containers gen 11 101 0.112
classes gen 3 23 0.140
cartesian gen 82 375 0.220
length gen 45 202 0.222
varargs gen 8 28 0.297
escape gen 107 346 0.309
cgi gen 265 564 0.470
control_flow gen 213 104 2.053
gc_stack_roots gen 2 0 inf

Max Resident Set Size (MB)

Lower ratios are better. We use MB (powers of 10), not MiB (powers of 2).

example name gen C++ Python C++ : Python
classes gen 4.6 10.6 0.43
fib_iter gen 3.4 7.1 0.48
parse gen 3.8 7.6 0.50
cartesian gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
escape gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
cgi gen 3.7 6.9 0.53
length gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
asdl_generated gen 3.7 6.8 0.54
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
modules gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
containers gen 28.4 48.0 0.59
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 4 0.000
classes gen 0 8 0.000
control_flow gen 0 8 0.000
escape gen 0 4 0.000
fib_recursive gen 0 8 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 12 0.000
length gen 0 8 0.000
loops gen 0 8 0.000
modules gen 0 4 0.000
parse gen 0 12 0.000
tuple_return_value gen 0 8 0.000
containers gen 4 32 0.117
cgi gen 4 8 0.494
scoped_resource gen 4 8 0.529
cartesian gen 8 8 0.983
varargs gen 58 44 1.323
fib_iter gen 4 0 inf

raw benchmark files