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 0.008
modules 2 167 0.011
fib_recursive 11 885 0.012
loops 4 283 0.014
asdl_generated 11 378 0.029
parse 30 796 0.038
scoped_resource 42 1,045 0.041
files 4 72 0.053
containers 8 109 0.074
tuple_return_value 20 222 0.091
varargs 4 23 0.169
classes 3 16 0.211
length 45 196 0.228
cartesian 86 331 0.260
escape 102 341 0.299
cgi 314 512 0.613
control_flow 211 104 2.016

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 4.3 10.7 0.40
fib_iter 3.5 7.1 0.50
parse 3.8 7.6 0.50
modules 3.5 6.9 0.51
escape 3.5 6.8 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
length 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
files 3.8 7.1 0.54
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
fib_recursive 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.6 47.7 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
classes 0 16 0.000
control_flow 0 12 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
length 0 12 0.000
loops 0 12 0.000
modules 0 16 0.000
parse 0 8 0.000
tuple_return_value 0 4 0.000
containers 8 28 0.284
cgi 4 12 0.336
escape 4 8 0.494
cartesian 4 8 0.514
scoped_resource 4 8 0.532
files 4 4 0.951
varargs 62 50 1.252

raw benchmark files