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 17 0.000
containers 0 92 0.000
modules 0 177 0.000
fib_iter 8 898 0.008
fib_recursive 11 885 0.012
loops 4 289 0.013
asdl_generated 7 382 0.019
parse 22 764 0.029
scoped_resource 40 1,027 0.039
tuple_return_value 20 200 0.101
files 8 73 0.104
length 40 198 0.201
cartesian 81 357 0.228
escape 106 347 0.306
cgi 250 508 0.493
control_flow 209 110 1.907
varargs 39 16 2.378

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 4.6 10.8 0.43
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
parse 3.9 7.6 0.52
scoped_resource 3.7 7.1 0.52
fib_iter 3.7 6.9 0.53
files 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
escape 3.5 6.7 0.53
loops 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
modules 3.8 6.9 0.55
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
control_flow 0 4 0.000
escape 0 4 0.000
fib_iter 0 12 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
loops 0 8 0.000
tuple_return_value 0 4 0.000
modules 2 12 0.157
classes 3 13 0.245
length 4 12 0.336
containers 15 40 0.381
asdl_generated 4 8 0.445
varargs 31 57 0.544
parse 7 8 0.930
scoped_resource 8 4 2.009
cartesian 8 4 2.029
cgi 4 0 inf

raw benchmark files