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 C++ Python C++ : Python
fib_iter 8 892 0.009
modules 2 171 0.012
fib_recursive 11 881 0.012
loops 4 294 0.013
asdl_generated 11 371 0.029
parse 29 763 0.038
scoped_resource 43 1,040 0.041
tuple_return_value 16 190 0.085
files 7 77 0.096
containers 13 113 0.111
classes 3 27 0.123
length 41 205 0.199
escape 90 353 0.254
cartesian 86 327 0.264
cgi 265 509 0.521
control_flow 210 107 1.968
varargs 16 4 3.948

Max Resident Set Size (MB)

Lower ratios are better. We use MB (powers of 10), not MiB (powers of 2).

example name C++ Python C++ : Python
classes 4.5 10.7 0.41
parse 3.8 7.7 0.49
asdl_generated 3.5 6.9 0.51
escape 3.5 6.9 0.51
fib_recursive 3.5 6.9 0.51
loops 3.8 7.2 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
modules 3.8 7.1 0.54
tuple_return_value 3.8 7.1 0.54
length 3.7 6.8 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
containers 28.3 47.8 0.59
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
classes 0 4 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
modules 0 12 0.000
parse 0 12 0.000
containers 4 27 0.153
cgi 4 12 0.334
scoped_resource 4 8 0.489
cartesian 4 8 0.492
varargs 51 68 0.755
tuple_return_value 4 4 1.000
length 4 4 1.036
escape 16 4 4.070
files 0 0 NA
loops 0 0 NA

raw benchmark files