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 23 0.000
modules 0 206 0.000
fib_iter 4 891 0.004
loops 4 303 0.012
fib_recursive 11 872 0.012
asdl_generated 5 374 0.014
parse 25 762 0.032
containers 4 100 0.038
scoped_resource 47 1,035 0.046
files 4 76 0.048
tuple_return_value 20 191 0.105
length 44 196 0.225
cartesian 78 330 0.238
escape 94 350 0.268
cgi 255 511 0.499
varargs 27 19 1.445
control_flow 206 110 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 10.8 0.41
cgi 3.5 7.1 0.50
fib_recursive 3.5 6.9 0.51
parse 3.9 7.6 0.52
cartesian 3.7 7.1 0.52
escape 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
modules 3.7 6.9 0.53
files 3.8 7.1 0.54
loops 3.8 7.1 0.54
tuple_return_value 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
length 3.8 6.9 0.55
asdl_generated 3.7 6.7 0.55
containers 28.5 47.8 0.60
varargs 5.4 7.1 0.76

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
fib_recursive 0 12 0.000
length 0 8 0.000
loops 0 4 0.000
scoped_resource 0 8 0.000
tuple_return_value 0 4 0.000
containers 11 32 0.352
classes 3 8 0.421
fib_iter 4 8 0.477
parse 4 8 0.511
asdl_generated 5 8 0.665
varargs 39 53 0.737
control_flow 4 4 0.972
cgi 4 4 0.999
cartesian 12 4 2.924
escape 12 4 3.037
files 4 0 inf
modules 2 0 inf

raw benchmark files