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
modules 0 180 0.000
fib_iter 8 881 0.009
asdl_generated 4 373 0.010
fib_recursive 11 879 0.012
loops 4 289 0.013
parse 25 769 0.033
scoped_resource 40 1,069 0.037
containers 4 105 0.037
files 7 71 0.104
tuple_return_value 20 185 0.108
length 41 205 0.201
cartesian 91 328 0.276
escape 98 341 0.288
varargs 12 28 0.446
cgi 254 509 0.498
control_flow 208 112 1.862

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
asdl_generated 3.5 7.1 0.50
parse 3.8 7.6 0.50
fib_iter 3.7 7.1 0.52
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
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_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.7 0.57
containers 28.5 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cartesian 0 8 0.000
cgi 0 8 0.000
control_flow 0 4 0.000
fib_iter 0 12 0.000
fib_recursive 0 8 0.000
files 0 4 0.000
loops 0 8 0.000
tuple_return_value 0 8 0.000
parse 4 12 0.348
classes 3 8 0.412
containers 12 28 0.415
modules 2 4 0.444
escape 8 12 0.661
asdl_generated 7 8 0.891
length 4 4 0.933
varargs 54 44 1.231
scoped_resource 8 4 1.983

raw benchmark files