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 0 293 0.000
modules 0 182 0.000
fib_iter 8 904 0.008
fib_recursive 11 883 0.012
asdl_generated 11 378 0.028
containers 4 114 0.036
scoped_resource 38 1,036 0.037
parse 30 775 0.038
files 4 68 0.061
tuple_return_value 20 185 0.109
classes 3 24 0.138
length 44 203 0.217
cartesian 79 325 0.243
escape 104 353 0.295
cgi 255 512 0.497
varargs 8 12 0.649
control_flow 206 112 1.832

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 10.6 0.42
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
modules 3.5 6.9 0.51
parse 3.9 7.6 0.52
escape 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
loops 3.8 7.1 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
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
fib_recursive 3.9 6.9 0.57
containers 28.6 47.8 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 4 0.000
cgi 0 4 0.000
classes 0 8 0.000
control_flow 0 4 0.000
fib_iter 0 8 0.000
length 0 8 0.000
parse 0 4 0.000
tuple_return_value 0 8 0.000
loops 4 12 0.313
modules 2 4 0.460
files 4 8 0.519
containers 12 24 0.527
varargs 59 61 0.974
scoped_resource 9 4 2.137
cartesian 12 4 2.949
escape 4 0 inf
fib_recursive 0 0 NA

raw benchmark files