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 24 0.000
loops 0 300 0.000
fib_iter 4 905 0.004
modules 2 179 0.010
fib_recursive 11 877 0.012
asdl_generated 5 378 0.014
parse 19 765 0.024
scoped_resource 44 1,053 0.041
containers 8 94 0.082
tuple_return_value 16 188 0.087
files 8 72 0.105
length 40 200 0.200
cartesian 83 327 0.253
escape 97 351 0.277
cgi 269 510 0.527
varargs 12 20 0.578
control_flow 206 113 1.826

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 10.7 0.40
escape 3.5 6.9 0.51
parse 3.9 7.6 0.52
cartesian 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
length 3.8 7.1 0.54
fib_recursive 3.7 6.8 0.54
files 3.8 6.9 0.55
loops 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.8 6.8 0.56
containers 28.7 48.0 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 12 0.000
fib_recursive 0 12 0.000
files 0 4 0.000
modules 0 8 0.000
containers 8 43 0.179
classes 3 8 0.421
loops 4 8 0.453
fib_iter 4 8 0.473
length 4 8 0.499
cartesian 8 12 0.691
scoped_resource 4 4 0.992
tuple_return_value 4 4 1.017
varargs 55 53 1.037
asdl_generated 5 4 1.344
escape 12 8 1.526
parse 11 4 2.786
control_flow 0 0 NA

raw benchmark files