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
classes 0 27 0.000
loops 0 290 0.000
asdl_generated 4 397 0.009
fib_iter 8 887 0.009
modules 2 175 0.010
fib_recursive 11 873 0.012
parse 25 754 0.034
scoped_resource 39 1,024 0.038
files 4 69 0.054
containers 12 111 0.107
tuple_return_value 20 186 0.108
length 38 205 0.183
cartesian 87 328 0.264
escape 106 350 0.302
cgi 267 527 0.506
varargs 20 19 1.064
control_flow 209 110 1.907

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 10.5 0.42
parse 3.8 7.7 0.49
escape 3.5 6.9 0.51
cartesian 3.7 7.1 0.52
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
length 3.7 6.9 0.53
modules 3.7 6.9 0.53
tuple_return_value 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.8 0.56
control_flow 3.9 6.9 0.57
containers 28.6 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 8 0.000
control_flow 0 4 0.000
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
modules 0 8 0.000
tuple_return_value 0 8 0.000
containers 4 24 0.166
files 4 8 0.463
parse 4 8 0.529
scoped_resource 8 12 0.649
varargs 45 54 0.836
classes 3 4 0.856
asdl_generated 7 8 0.908
loops 4 4 0.913
cartesian 4 4 0.983
escape 4 4 1.023
length 8 4 1.865

raw benchmark files