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
containers 0 126 0.000
fib_recursive 7 879 0.008
fib_iter 8 886 0.009
modules 2 175 0.011
loops 4 293 0.015
asdl_generated 11 380 0.029
parse 30 774 0.038
scoped_resource 44 1,019 0.043
tuple_return_value 16 189 0.086
files 8 66 0.117
classes 3 23 0.145
length 44 209 0.210
cartesian 86 325 0.266
escape 99 346 0.286
varargs 12 32 0.365
cgi 265 504 0.527
control_flow 214 114 1.879

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
asdl_generated 3.5 7.1 0.50
scoped_resource 3.5 7.1 0.50
cartesian 3.5 6.9 0.51
fib_iter 3.5 6.9 0.51
parse 3.9 7.6 0.52
escape 3.7 6.9 0.53
files 3.7 6.9 0.53
cgi 3.8 7.1 0.54
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
modules 3.9 6.9 0.57
containers 28.6 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 4 0.000
classes 0 8 0.000
fib_iter 0 12 0.000
files 0 12 0.000
loops 0 4 0.000
modules 0 8 0.000
parse 0 8 0.000
cartesian 4 16 0.248
fib_recursive 4 8 0.452
cgi 4 8 0.495
escape 8 8 0.994
scoped_resource 4 4 1.002
tuple_return_value 4 4 1.009
containers 16 12 1.337
varargs 55 40 1.363
control_flow 0 0 NA
length 0 0 NA

raw benchmark files