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
modules 0 175 0.000
fib_recursive 7 873 0.008
fib_iter 8 898 0.008
loops 4 285 0.013
asdl_generated 11 376 0.029
parse 22 757 0.029
scoped_resource 44 1,043 0.042
files 8 72 0.108
tuple_return_value 20 184 0.110
containers 12 101 0.116
classes 3 24 0.139
length 45 206 0.217
cartesian 86 338 0.254
escape 106 352 0.302
varargs 12 24 0.514
cgi 262 506 0.518
control_flow 210 112 1.870

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
modules 3.5 6.9 0.51
parse 3.9 7.6 0.52
escape 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
files 3.7 6.9 0.53
control_flow 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
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
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
asdl_generated 0 4 0.000
classes 0 8 0.000
control_flow 0 4 0.000
escape 0 8 0.000
fib_iter 0 4 0.000
files 0 4 0.000
length 0 4 0.000
loops 0 8 0.000
tuple_return_value 0 8 0.000
containers 4 36 0.107
modules 2 8 0.224
fib_recursive 4 12 0.301
parse 7 20 0.367
cgi 4 8 0.498
cartesian 4 4 0.983
scoped_resource 4 4 1.003
varargs 54 49 1.113

raw benchmark files