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_recursive 7 883 0.008
fib_iter 8 886 0.009
modules 2 185 0.010
loops 4 286 0.013
asdl_generated 11 378 0.029
parse 26 749 0.034
scoped_resource 48 1,028 0.046
files 4 68 0.055
containers 8 98 0.079
tuple_return_value 20 183 0.110
length 44 203 0.216
classes 3 14 0.225
cartesian 83 324 0.256
escape 101 360 0.281
cgi 266 506 0.525
varargs 20 12 1.729
control_flow 205 106 1.930

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 10.8 0.41
parse 3.8 7.6 0.50
cgi 3.5 6.9 0.51
length 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
cartesian 3.7 6.9 0.53
escape 3.7 6.9 0.53
loops 3.8 7.1 0.54
modules 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
asdl_generated 3.7 6.7 0.55
tuple_return_value 3.8 6.8 0.56
control_flow 3.9 6.9 0.57
containers 28.6 47.6 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 8 0.000
classes 0 18 0.000
fib_iter 0 8 0.000
length 0 4 0.000
loops 0 8 0.000
tuple_return_value 0 12 0.000
containers 8 37 0.210
parse 4 12 0.306
fib_recursive 4 8 0.447
files 4 8 0.470
control_flow 4 8 0.501
cartesian 8 12 0.659
varargs 45 59 0.761
escape 8 0 inf
modules 0 0 NA
scoped_resource 0 0 NA

raw benchmark files