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
loops gen 0 294 0.000
fib_iter gen 8 883 0.009
modules gen 2 181 0.010
fib_recursive gen 11 886 0.012
asdl_generated gen 7 382 0.019
parse gen 30 758 0.039
scoped_resource gen 48 1,035 0.046
containers gen 8 123 0.064
tuple_return_value gen 13 187 0.072
files gen 7 67 0.111
classes gen 3 23 0.141
gc_stack_roots gen 2 12 0.149
length gen 40 198 0.203
cartesian gen 86 323 0.268
escape gen 98 344 0.285
cgi gen 270 510 0.529
varargs gen 20 20 0.978
control_flow gen 210 108 1.942

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 4.6 10.7 0.43
gc_stack_roots gen 3.5 7.1 0.50
cartesian gen 3.5 6.9 0.51
escape gen 3.5 6.9 0.51
parse gen 3.9 7.6 0.52
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
loops gen 3.9 7.2 0.55
control_flow gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
length gen 3.8 6.8 0.56
fib_iter gen 3.9 6.9 0.57
files gen 3.9 6.9 0.57
containers gen 28.6 48.0 0.60
varargs gen 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
cgi gen 0 8 0.000
classes gen 0 8 0.000
control_flow gen 0 8 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 4 0.000
files gen 0 8 0.000
modules gen 0 4 0.000
parse gen 0 4 0.000
scoped_resource gen 0 4 0.000
loops gen 4 12 0.312
length gen 4 12 0.339
cartesian gen 4 8 0.493
containers gen 8 16 0.495
varargs gen 47 52 0.903
escape gen 8 8 1.021
tuple_return_value gen 7 4 1.688
asdl_generated gen 4 0 inf
gc_stack_roots gen 0 0 NA

raw benchmark files