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
fib_recursive 7 884 0.008
fib_iter 8 889 0.009
modules 2 182 0.010
loops 4 299 0.012
asdl_generated 11 371 0.029
parse 29 755 0.039
scoped_resource 47 1,029 0.045
containers 8 126 0.063
tuple_return_value 20 192 0.105
files 8 68 0.115
classes 3 16 0.203
length 45 203 0.222
cartesian 86 353 0.244
escape 103 351 0.294
cgi 266 540 0.493
varargs 19 35 0.555
control_flow 205 108 1.911

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 10.7 0.41
parse 3.8 7.6 0.50
asdl_generated 3.5 6.9 0.51
cgi 3.5 6.9 0.51
escape 3.5 6.9 0.51
modules 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
cartesian 3.8 6.9 0.55
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.8 0.56
containers 28.7 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 12 0.000
classes 0 16 0.000
control_flow 0 8 0.000
fib_iter 0 12 0.000
files 0 8 0.000
length 0 8 0.000
loops 0 8 0.000
modules 0 4 0.000
parse 0 12 0.000
scoped_resource 0 4 0.000
cartesian 4 8 0.488
containers 8 12 0.649
fib_recursive 4 4 0.909
varargs 47 39 1.200
escape 8 4 1.968
cgi 0 0 NA
tuple_return_value 0 0 NA

raw benchmark files