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 22 0.000
loops gen 0 289 0.000
fib_iter gen 8 886 0.009
modules gen 2 186 0.010
fib_recursive gen 11 879 0.013
asdl_generated gen 7 369 0.020
parse gen 23 757 0.030
scoped_resource gen 48 1,024 0.047
tuple_return_value gen 16 192 0.085
files gen 8 71 0.109
containers gen 12 108 0.109
length gen 26 203 0.129
cartesian gen 75 328 0.229
escape gen 97 349 0.279
gc_stack_roots gen 2 4 0.444
cgi gen 257 511 0.503
varargs gen 20 16 1.210
control_flow gen 205 106 1.943

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 10.7 0.41
parse gen 3.9 7.7 0.51
escape gen 3.5 6.9 0.51
fib_recursive gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
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
fib_iter gen 3.7 6.9 0.53
loops gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
tuple_return_value gen 3.8 7.1 0.54
modules gen 3.8 6.9 0.55
files gen 3.9 7.1 0.56
control_flow gen 3.9 6.9 0.57
length gen 3.9 6.9 0.57
containers gen 28.4 47.8 0.59
varargs gen 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
fib_iter gen 0 12 0.000
fib_recursive gen 0 8 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 8 0.000
scoped_resource gen 0 12 0.000
containers gen 4 28 0.141
classes gen 3 9 0.369
asdl_generated gen 4 8 0.458
control_flow gen 4 8 0.504
loops gen 4 8 0.519
parse gen 8 12 0.627
varargs gen 47 57 0.830
tuple_return_value gen 4 4 1.018
escape gen 8 4 2.045
length gen 19 8 2.358
cartesian gen 16 4 3.956
cgi gen 0 0 NA
modules gen 0 0 NA

raw benchmark files