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 8 896 0.008
modules gen 2 179 0.010
fib_recursive gen 11 882 0.012
loops gen 4 288 0.013
asdl_generated gen 7 379 0.019
parse gen 29 794 0.036
scoped_resource gen 44 1,049 0.042
tuple_return_value gen 16 188 0.085
files gen 8 68 0.113
containers gen 12 101 0.115
classes gen 3 22 0.147
length gen 40 208 0.194
gc_stack_roots gen 2 8 0.222
cartesian gen 91 333 0.275
escape gen 97 351 0.278
varargs gen 8 24 0.345
cgi gen 260 525 0.496
control_flow gen 204 103 1.994

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 10.6 0.42
gc_stack_roots gen 3.5 7.1 0.50
escape gen 3.5 6.9 0.51
modules gen 3.5 6.9 0.51
asdl_generated gen 3.7 7.1 0.52
loops gen 3.7 7.1 0.52
parse gen 3.9 7.5 0.53
cgi gen 3.7 6.9 0.53
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
scoped_resource gen 3.8 6.9 0.55
cartesian gen 3.7 6.7 0.55
fib_iter gen 3.7 6.7 0.55
control_flow gen 3.9 6.9 0.57
tuple_return_value gen 3.9 6.9 0.57
containers gen 28.5 47.8 0.60
varargs gen 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
classes gen 0 9 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 4 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 4 0.000
loops gen 0 4 0.000
modules gen 0 4 0.000
parse gen 0 4 0.000
containers gen 4 35 0.111
control_flow gen 4 12 0.339
asdl_generated gen 4 4 0.891
scoped_resource gen 4 4 1.004
tuple_return_value gen 4 4 1.004
length gen 4 4 1.010
varargs gen 58 48 1.209
escape gen 12 4 2.936
cgi gen 8 0 inf
cartesian gen 0 0 NA

raw benchmark files