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
modules 0 175 0.000
fib_iter 8 883 0.009
fib_recursive 11 890 0.012
loops 4 290 0.012
parse 21 768 0.027
asdl_generated 11 373 0.029
scoped_resource 38 1,034 0.037
containers 8 107 0.074
tuple_return_value 20 186 0.108
files 8 71 0.112
classes 3 27 0.119
length 37 197 0.187
cartesian 79 335 0.235
escape 102 344 0.295
cgi 264 524 0.504
control_flow 225 114 1.970
varargs 16 8 2.054

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
asdl_generated 3.5 6.9 0.51
cgi 3.5 6.9 0.51
escape 3.5 6.9 0.51
fib_iter 3.5 6.9 0.51
cartesian 3.7 7.1 0.52
length 3.7 7.1 0.52
scoped_resource 3.7 6.9 0.53
files 3.8 6.9 0.55
loops 3.8 6.8 0.56
fib_recursive 3.9 6.9 0.57
modules 3.9 6.9 0.57
control_flow 3.9 6.8 0.58
tuple_return_value 3.9 6.8 0.58
containers 28.4 47.8 0.59
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 4 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
loops 0 8 0.000
tuple_return_value 0 12 0.000
modules 2 8 0.230
containers 8 28 0.286
cgi 4 8 0.500
escape 4 8 0.507
scoped_resource 8 12 0.703
varargs 49 64 0.770
length 7 8 0.916
parse 8 8 1.042
cartesian 12 0 inf
control_flow 0 0 NA

raw benchmark files