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 32 0.000
containers gen 0 122 0.000
gc_stack_roots gen 0 8 0.000
loops gen 0 291 0.000
fib_iter gen 8 893 0.009
modules gen 2 179 0.011
fib_recursive gen 11 906 0.012
asdl_generated gen 7 370 0.020
parse gen 29 761 0.038
scoped_resource gen 44 1,044 0.042
files gen 4 67 0.056
tuple_return_value gen 16 189 0.086
length gen 37 205 0.183
cartesian gen 91 323 0.282
escape gen 107 352 0.305
cgi gen 266 507 0.525
varargs gen 23 20 1.178
control_flow gen 209 106 1.962

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 10.8 0.41
gc_stack_roots gen 3.4 6.9 0.49
parse gen 3.8 7.6 0.50
scoped_resource gen 3.7 7.2 0.51
escape gen 3.5 6.9 0.51
asdl_generated gen 3.7 6.9 0.53
cartesian gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
control_flow gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
fib_iter gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
length gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
modules gen 3.9 7.1 0.56
containers gen 28.7 48.0 0.60
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cartesian gen 0 12 0.000
control_flow gen 0 8 0.000
escape gen 0 4 0.000
fib_iter gen 0 4 0.000
modules gen 0 4 0.000
parse gen 0 8 0.000
asdl_generated gen 4 12 0.303
scoped_resource gen 4 12 0.336
gc_stack_roots gen 2 4 0.443
files gen 4 8 0.474
cgi gen 4 8 0.501
varargs gen 43 52 0.831
loops gen 4 4 0.967
containers gen 15 16 0.981
tuple_return_value gen 4 4 1.009
length gen 7 4 1.864
classes gen 3 0 inf
fib_recursive gen 0 0 NA

raw benchmark files