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
classes gen 0 22 0.000
gc_stack_roots gen 0 4 0.000
modules gen 0 175 0.000
fib_iter gen 8 888 0.008
loops gen 4 299 0.012
fib_recursive gen 11 882 0.012
asdl_generated gen 11 381 0.028
parse gen 25 770 0.032
scoped_resource gen 43 1,048 0.041
tuple_return_value gen 16 175 0.094
containers gen 12 114 0.101
files gen 8 63 0.122
length gen 42 208 0.201
cartesian gen 85 331 0.258
escape gen 101 347 0.291
cgi gen 250 512 0.488
varargs gen 23 15 1.534
control_flow gen 211 107 1.977

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 4.5 10.7 0.41
gc_stack_roots gen 3.4 7.1 0.48
parse gen 3.8 7.7 0.49
cgi gen 3.5 7.1 0.50
escape gen 3.5 6.9 0.51
fib_iter gen 3.7 7.1 0.52
length gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
files gen 3.7 6.9 0.53
fib_recursive gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
cartesian gen 3.8 6.9 0.55
control_flow gen 3.8 6.9 0.55
loops 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
containers gen 28.5 47.8 0.60
varargs gen 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 8 0.000
control_flow gen 0 8 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 8 0.000
files gen 0 12 0.000
loops gen 0 4 0.000
containers gen 4 28 0.139
gc_stack_roots gen 2 8 0.215
modules gen 2 8 0.223
tuple_return_value gen 4 12 0.344
classes gen 3 9 0.367
length gen 4 8 0.475
cgi gen 4 8 0.495
escape gen 4 8 0.507
scoped_resource gen 4 8 0.542
varargs gen 43 57 0.750
parse gen 4 4 1.039
cartesian gen 4 0 inf

raw benchmark files