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
loops 0 293 0.000
modules 0 173 0.000
fib_iter 8 1,037 0.007
fib_recursive 7 884 0.008
asdl_generated 4 370 0.010
parse 23 759 0.030
scoped_resource 44 1,024 0.043
containers 11 126 0.091
files 8 72 0.107
tuple_return_value 20 179 0.113
classes 3 23 0.136
length 41 205 0.199
cartesian 82 329 0.249
escape 94 348 0.271
cgi 267 518 0.514
varargs 12 15 0.810
control_flow 208 101 2.051

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 10.9 0.41
parse 3.7 7.6 0.48
escape 3.5 7.1 0.50
cgi 3.5 6.9 0.51
loops 3.5 6.9 0.51
modules 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
length 3.8 7.1 0.54
files 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.8 0.58
containers 28.3 47.8 0.59
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 8 0.000
control_flow 0 12 0.000
fib_iter 0 20 0.000
files 0 4 0.000
tuple_return_value 0 12 0.000
modules 2 12 0.151
containers 4 8 0.483
cgi 4 8 0.506
length 4 8 0.516
asdl_generated 7 12 0.600
parse 8 12 0.625
loops 4 4 0.899
varargs 54 58 0.936
scoped_resource 4 4 0.996
cartesian 8 4 2.041
escape 12 4 3.074
fib_recursive 4 0 inf

raw benchmark files