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 4 886 0.004
modules 2 175 0.010
fib_recursive 11 879 0.012
loops 4 285 0.014
asdl_generated 11 380 0.029
parse 22 756 0.030
containers 4 100 0.040
scoped_resource 47 1,022 0.046
tuple_return_value 20 181 0.112
files 8 68 0.120
classes 3 24 0.135
length 41 198 0.206
cartesian 81 338 0.241
escape 95 348 0.273
cgi 261 502 0.521
varargs 16 16 1.022
control_flow 210 110 1.905

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 3.4 6.9 0.49
parse 3.8 7.6 0.50
loops 3.7 7.2 0.51
scoped_resource 3.5 6.9 0.51
fib_recursive 3.5 6.8 0.52
asdl_generated 3.7 6.9 0.53
escape 3.7 6.9 0.53
files 3.7 6.9 0.53
modules 3.7 6.9 0.53
cgi 3.8 7.1 0.54
fib_iter 3.8 7.1 0.54
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.7 48.0 0.60
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 8 0.000
control_flow 0 4 0.000
fib_recursive 0 4 0.000
files 0 8 0.000
loops 0 12 0.000
modules 0 8 0.000
scoped_resource 0 16 0.000
tuple_return_value 0 12 0.000
containers 12 40 0.300
cgi 4 12 0.337
length 4 12 0.337
fib_iter 4 8 0.484
parse 7 12 0.625
varargs 49 56 0.876
cartesian 8 8 0.973
escape 12 4 2.971

raw benchmark files