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 31 0.000
loops gen 0 293 0.000
modules gen 0 174 0.000
fib_iter gen 4 888 0.004
fib_recursive gen 11 878 0.012
asdl_generated gen 11 371 0.029
parse gen 29 777 0.038
scoped_resource gen 45 1,036 0.043
files gen 4 69 0.054
containers gen 8 126 0.063
tuple_return_value gen 20 180 0.112
gc_stack_roots gen 2 13 0.157
length gen 40 203 0.197
cartesian gen 76 351 0.215
escape gen 99 346 0.286
cgi gen 247 501 0.493
varargs gen 21 16 1.306
control_flow gen 207 105 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 10.9 0.41
gc_stack_roots gen 3.4 6.9 0.49
scoped_resource gen 3.5 7.1 0.50
parse gen 3.9 7.6 0.52
escape gen 3.7 7.1 0.52
loops gen 3.7 7.1 0.52
asdl_generated gen 3.5 6.8 0.52
cartesian gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
files gen 3.7 6.9 0.53
control_flow gen 3.8 6.9 0.55
fib_iter gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
length 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 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 8 0.000
control_flow gen 0 12 0.000
fib_recursive gen 0 8 0.000
parse gen 0 4 0.000
tuple_return_value gen 0 12 0.000
modules gen 2 8 0.219
scoped_resource gen 4 8 0.469
files gen 4 8 0.486
containers gen 8 12 0.647
varargs gen 46 56 0.821
loops gen 4 4 0.905
fib_iter gen 4 4 0.942
escape gen 8 8 0.984
cgi gen 8 8 0.993
length gen 4 4 1.007
cartesian gen 16 4 3.990
classes gen 3 0 inf
gc_stack_roots gen 0 0 NA

raw benchmark files