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 15 0.000
fib_iter 8 892 0.009
modules 2 175 0.010
fib_recursive 11 879 0.012
loops 4 300 0.012
parse 18 774 0.024
asdl_generated 11 378 0.028
containers 4 112 0.035
scoped_resource 43 1,049 0.041
files 8 73 0.103
tuple_return_value 20 181 0.111
length 44 208 0.212
cartesian 80 331 0.242
escape 105 346 0.303
cgi 282 519 0.543
varargs 16 19 0.820
control_flow 209 112 1.873

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 3.7 7.6 0.48
fib_iter 3.5 7.1 0.50
cgi 3.5 6.9 0.51
escape 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
loops 3.8 7.1 0.54
fib_recursive 3.7 6.8 0.54
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
control_flow 3.9 7.1 0.56
length 3.9 6.9 0.57
containers 28.5 47.8 0.60
varargs 5.5 6.8 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
control_flow 0 4 0.000
escape 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
length 0 4 0.000
loops 0 4 0.000
modules 0 8 0.000
tuple_return_value 0 12 0.000
classes 3 15 0.210
containers 12 24 0.483
cgi 4 8 0.497
varargs 51 53 0.952
scoped_resource 4 4 0.972
parse 11 8 1.379
cartesian 12 0 inf
asdl_generated 0 0 NA

raw benchmark files