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
classes 0 27 0.000
loops 0 293 0.000
modules 0 181 0.000
fib_iter 8 894 0.009
fib_recursive 11 880 0.012
parse 19 793 0.023
asdl_generated 11 375 0.029
containers 4 117 0.034
scoped_resource 43 1,010 0.043
tuple_return_value 16 193 0.083
files 7 68 0.110
length 40 210 0.191
escape 90 365 0.247
cartesian 86 330 0.262
cgi 265 509 0.520
varargs 20 24 0.823
control_flow 212 112 1.901

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 10.9 0.41
cartesian 3.5 7.1 0.50
cgi 3.5 7.1 0.50
parse 3.8 7.3 0.52
asdl_generated 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
escape 3.7 6.8 0.54
control_flow 3.8 6.9 0.55
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
fib_iter 3.9 6.9 0.57
containers 28.4 47.8 0.59
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
control_flow 0 4 0.000
fib_iter 0 4 0.000
fib_recursive 0 12 0.000
files 0 8 0.000
modules 2 4 0.458
loops 4 8 0.468
scoped_resource 4 8 0.490
cgi 4 8 0.500
containers 12 23 0.503
cartesian 4 8 0.512
classes 3 5 0.725
varargs 48 48 0.988
parse 11 4 2.782
escape 16 0 inf
length 4 0 inf
tuple_return_value 4 0 inf

raw benchmark files