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 7 894 0.008
modules 2 171 0.010
fib_recursive 11 886 0.012
loops 4 291 0.013
asdl_generated 11 378 0.028
parse 22 775 0.029
containers 4 99 0.040
scoped_resource 48 1,012 0.047
tuple_return_value 16 189 0.085
files 7 74 0.100
length 41 222 0.183
classes 3 16 0.205
escape 94 350 0.269
cartesian 91 332 0.275
cgi 254 507 0.502
varargs 12 8 1.499
control_flow 212 107 1.983

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 4.3 10.7 0.40
parse 3.7 7.6 0.48
escape 3.4 6.9 0.49
asdl_generated 3.5 6.9 0.51
fib_iter 3.7 7.1 0.52
modules 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
cartesian 3.7 6.9 0.53
files 3.7 6.9 0.53
length 3.7 6.9 0.53
control_flow 3.8 7.1 0.54
loops 3.8 7.1 0.54
cgi 3.7 6.8 0.54
tuple_return_value 3.8 6.9 0.55
fib_recursive 3.9 6.9 0.57
containers 28.5 47.8 0.59
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cartesian 0 8 0.000
cgi 0 4 0.000
classes 0 16 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
files 0 4 0.000
loops 0 4 0.000
modules 0 12 0.000
scoped_resource 0 8 0.000
containers 12 40 0.299
varargs 52 64 0.812
tuple_return_value 4 4 1.000
length 4 4 1.004
parse 7 4 1.864
escape 12 4 2.922
asdl_generated 0 0 NA

raw benchmark files