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 0 293 0.000
fib_recursive 7 897 0.008
fib_iter 8 892 0.009
modules 2 186 0.009
asdl_generated 11 383 0.028
parse 26 751 0.035
scoped_resource 43 1,041 0.042
files 4 70 0.053
containers 8 113 0.069
tuple_return_value 20 184 0.110
classes 3 24 0.138
length 40 206 0.196
cartesian 85 340 0.249
escape 91 348 0.262
cgi 261 505 0.517
varargs 23 24 0.978
control_flow 209 110 1.890

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 4.3 10.8 0.40
modules 3.5 6.9 0.51
parse 3.9 7.6 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
control_flow 3.8 7.1 0.54
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
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 4 0.000
classes 0 8 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
tuple_return_value 0 12 0.000
containers 8 24 0.324
length 4 8 0.455
parse 4 8 0.468
files 4 8 0.480
loops 4 8 0.483
cgi 8 12 0.663
varargs 43 48 0.896
escape 16 8 1.980
cartesian 8 4 2.020
fib_recursive 4 0 inf
scoped_resource 4 0 inf
modules 0 0 NA

raw benchmark files