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 23 0.000
fib_recursive 7 891 0.008
fib_iter 8 877 0.009
modules 2 184 0.010
loops 4 296 0.013
asdl_generated 7 378 0.019
parse 25 773 0.032
scoped_resource 43 1,042 0.042
containers 8 101 0.079
files 7 72 0.102
tuple_return_value 20 182 0.109
length 41 199 0.205
cartesian 79 324 0.243
escape 102 340 0.300
cgi 255 513 0.496
varargs 23 20 1.174
control_flow 213 111 1.925

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 10.6 0.42
parse 3.8 7.6 0.50
control_flow 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
cartesian 3.5 6.8 0.52
cgi 3.7 6.9 0.53
asdl_generated 3.8 7.1 0.54
escape 3.8 7.1 0.54
loops 3.8 7.1 0.54
modules 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
files 3.9 7.1 0.56
length 3.9 6.9 0.57
containers 28.5 47.7 0.60
varargs 5.5 7.1 0.78

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 12 0.000
files 0 4 0.000
loops 0 4 0.000
modules 0 4 0.000
tuple_return_value 0 8 0.000
containers 8 32 0.246
fib_recursive 4 12 0.312
length 4 12 0.342
parse 4 12 0.347
classes 3 8 0.422
asdl_generated 4 8 0.452
escape 4 8 0.491
scoped_resource 4 8 0.494
varargs 43 52 0.828
cartesian 12 4 2.952

raw benchmark files