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 8 892 0.008
modules 2 173 0.010
fib_recursive 11 879 0.012
loops 4 286 0.013
asdl_generated 11 368 0.029
parse 30 786 0.038
scoped_resource 47 1,029 0.045
containers 8 116 0.067
tuple_return_value 16 188 0.085
files 7 73 0.101
classes 3 22 0.147
length 33 207 0.160
cartesian 86 325 0.266
escape 102 352 0.290
cgi 265 508 0.522
varargs 16 24 0.650
control_flow 205 107 1.916

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 10.7 0.41
parse 3.8 7.5 0.51
cartesian 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
loops 3.8 7.2 0.53
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
length 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
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.5 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 8 0.000
cgi 0 12 0.000
classes 0 9 0.000
fib_iter 0 4 0.000
fib_recursive 0 8 0.000
files 0 4 0.000
loops 0 8 0.000
modules 0 12 0.000
parse 0 8 0.000
scoped_resource 0 8 0.000
containers 8 20 0.386
cartesian 4 8 0.489
control_flow 4 8 0.497
tuple_return_value 4 4 0.993
varargs 51 48 1.056
length 11 4 2.769
escape 4 0 inf

raw benchmark files