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
loops 0 217 0.000
modules 1 129 0.008
fib_iter 5 629 0.008
fib_recursive 7 625 0.012
scoped_resource 7 550 0.012
asdl_generated 7 269 0.026
parse 20 560 0.036
files 2 53 0.044
containers 6 71 0.079
tuple_return_value 14 134 0.103
classes 2 14 0.137
length 26 142 0.182
cartesian 62 232 0.266
escape 69 248 0.278
varargs 4 13 0.296
cgi 184 377 0.489
control_flow 146 76 1.924

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
parse 3.9 7.7 0.50
asdl_generated 3.7 7.2 0.51
cartesian 3.7 7.1 0.52
loops 3.8 7.3 0.52
scoped_resource 3.7 7.1 0.52
cgi 3.7 7.1 0.52
modules 3.8 7.2 0.52
fib_recursive 3.8 7.2 0.53
escape 3.7 7.1 0.53
tuple_return_value 3.8 7.2 0.54
length 3.8 7.1 0.54
fib_iter 3.8 7.0 0.54
files 3.8 7.0 0.54
control_flow 3.9 7.1 0.55
containers 28.5 47.7 0.60
varargs 5.6 7.0 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
cartesian 0 4 0.000
classes 0 5 0.000
control_flow 0 4 0.000
fib_iter 0 8 0.000
scoped_resource 0 4 0.000
tuple_return_value 0 4 0.000
containers 6 28 0.203
length 4 4 1.063
varargs 23 17 1.332
cgi 4 0 inf
escape 4 0 inf
files 2 0 inf
loops 3 0 inf
fib_recursive 0 0 NA
modules 0 0 NA
parse 0 0 NA

raw benchmark files