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
gc_stack_roots gen 0 4 0.000
fib_iter gen 7 902 0.008
modules gen 2 174 0.010
fib_recursive gen 11 895 0.012
loops gen 4 301 0.012
parse gen 21 787 0.027
asdl_generated gen 11 377 0.029
scoped_resource gen 47 1,055 0.045
tuple_return_value gen 10 201 0.050
files gen 4 69 0.056
containers gen 8 131 0.060
classes gen 3 19 0.169
length gen 45 198 0.227
cartesian gen 87 321 0.271
escape gen 97 354 0.275
cgi gen 270 513 0.526
varargs gen 24 15 1.554
control_flow gen 207 115 1.805

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 4.3 10.8 0.40
parse gen 3.8 7.7 0.49
asdl_generated gen 3.5 6.9 0.51
cartesian gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
cgi gen 3.7 7.1 0.52
loops gen 3.7 7.1 0.52
escape gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
fib_recursive gen 3.8 7.1 0.54
files gen 3.7 6.8 0.54
control_flow gen 3.8 6.9 0.55
fib_iter gen 3.8 6.9 0.55
scoped_resource gen 3.8 6.9 0.55
tuple_return_value gen 3.9 6.9 0.57
containers gen 28.4 47.8 0.59
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 4 0.000
cgi gen 0 8 0.000
classes gen 0 12 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 4 0.000
length gen 0 12 0.000
loops gen 0 8 0.000
modules gen 0 8 0.000
scoped_resource gen 0 4 0.000
gc_stack_roots gen 2 8 0.214
files gen 4 8 0.475
cartesian gen 4 8 0.515
varargs gen 43 57 0.760
containers gen 8 8 0.968
escape gen 12 8 1.511
parse gen 8 4 2.101
tuple_return_value gen 10 4 2.519

raw benchmark files