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 8 881 0.009
asdl_generated 4 397 0.009
modules 2 181 0.010
fib_recursive 11 885 0.012
loops 4 285 0.013
parse 25 768 0.033
scoped_resource 44 1,029 0.042
tuple_return_value 20 197 0.102
files 7 73 0.103
containers 15 103 0.148
classes 3 19 0.168
length 40 196 0.204
cartesian 86 330 0.261
escape 104 349 0.298
cgi 267 527 0.506
control_flow 205 104 1.975
varargs 19 8 2.417

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 10.9 0.40
parse 3.8 7.5 0.51
fib_recursive 3.5 6.9 0.51
cartesian 3.7 7.1 0.52
escape 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
length 3.7 6.9 0.53
files 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
loops 3.9 7.1 0.56
control_flow 3.9 6.9 0.57
modules 3.9 6.9 0.57
containers 28.4 47.7 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 8 0.000
classes 0 11 0.000
containers 0 32 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
loops 0 8 0.000
modules 0 12 0.000
tuple_return_value 0 8 0.000
length 4 12 0.340
parse 4 12 0.349
control_flow 4 8 0.494
scoped_resource 4 8 0.496
escape 4 8 0.504
varargs 47 64 0.725
asdl_generated 7 8 0.899
cartesian 4 4 0.985

raw benchmark files