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 0 290 0.000
fib_iter 4 919 0.004
modules 2 171 0.010
fib_recursive 11 892 0.012
asdl_generated 11 379 0.030
parse 29 772 0.038
scoped_resource 48 1,019 0.047
files 4 64 0.062
containers 8 114 0.068
tuple_return_value 21 193 0.108
classes 3 27 0.128
length 32 209 0.156
cartesian 83 333 0.251
escape 105 345 0.306
cgi 260 505 0.514
varargs 13 12 1.045
control_flow 207 107 1.939

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 7.6 0.50
escape 3.5 6.9 0.51
fib_iter 3.7 7.1 0.52
loops 3.7 7.1 0.52
modules 3.7 7.1 0.52
tuple_return_value 3.5 6.8 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
length 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
cartesian 3.7 6.8 0.54
control_flow 3.9 6.9 0.57
files 3.9 6.9 0.57
containers 28.6 47.8 0.60
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
classes 0 4 0.000
escape 0 8 0.000
modules 0 12 0.000
parse 0 8 0.000
scoped_resource 0 8 0.000
tuple_return_value 0 4 0.000
files 4 12 0.330
containers 8 20 0.382
control_flow 4 8 0.485
varargs 54 60 0.906
fib_iter 4 4 1.017
loops 5 4 1.123
cartesian 8 4 1.981
cgi 8 4 1.993
length 12 4 3.035
fib_recursive 0 0 NA

raw benchmark files