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 0 287 0.000
fib_iter 4 896 0.004
modules 2 178 0.010
fib_recursive 11 876 0.012
asdl_generated 11 380 0.030
scoped_resource 36 1,021 0.035
parse 29 757 0.039
files 4 69 0.055
tuple_return_value 20 189 0.106
containers 12 98 0.126
classes 3 24 0.139
length 30 204 0.149
cartesian 89 326 0.272
escape 99 348 0.285
cgi 266 516 0.515
varargs 27 16 1.697
control_flow 208 110 1.899

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
escape 3.5 7.1 0.50
loops 3.5 7.1 0.50
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
fib_recursive 3.5 6.9 0.51
asdl_generated 3.7 7.1 0.52
length 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
files 3.7 6.9 0.53
modules 3.7 6.9 0.53
fib_iter 3.8 7.1 0.54
cgi 3.7 6.8 0.54
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.5 47.7 0.60
varargs 5.2 6.9 0.75

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
cartesian 0 8 0.000
cgi 0 4 0.000
classes 0 8 0.000
control_flow 0 4 0.000
fib_recursive 0 8 0.000
modules 0 4 0.000
parse 0 8 0.000
tuple_return_value 0 12 0.000
containers 4 39 0.105
files 4 8 0.466
loops 4 8 0.502
varargs 39 56 0.693
fib_iter 4 4 0.962
escape 8 8 0.991
scoped_resource 12 12 0.991
length 15 4 3.800

raw benchmark files