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 17 0.000
loops 0 210 0.000
modules 0 127 0.000
fib_iter 5 613 0.008
fib_recursive 7 632 0.012
asdl_generated 4 263 0.014
parse 17 556 0.031
scoped_resource 33 728 0.045
containers 3 70 0.046
tuple_return_value 10 126 0.083
files 9 44 0.203
length 31 140 0.218
cartesian 61 235 0.259
escape 74 244 0.305
cgi 185 358 0.516
varargs 8 12 0.679
control_flow 141 74 1.909

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 10.9 0.41
parse 3.9 7.7 0.50
escape 3.7 7.1 0.52
loops 3.8 7.3 0.52
asdl_generated 3.7 7.1 0.52
scoped_resource 3.8 7.2 0.52
cartesian 3.7 7.0 0.52
cgi 3.8 7.1 0.53
length 3.8 7.2 0.53
modules 3.8 7.2 0.53
files 3.8 7.2 0.53
fib_iter 3.8 7.1 0.53
tuple_return_value 3.8 7.0 0.54
fib_recursive 3.9 7.0 0.55
control_flow 3.9 7.1 0.55
containers 28.5 47.7 0.60
varargs 5.6 7.2 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 8 0.000
escape 0 8 0.000
fib_iter 0 8 0.000
files 0 8 0.000
length 0 4 0.000
containers 10 27 0.354
tuple_return_value 3 8 0.443
asdl_generated 4 8 0.475
cartesian 4 8 0.510
classes 2 4 0.549
loops 3 4 0.631
parse 3 4 0.855
control_flow 4 4 1.007
varargs 36 36 1.019
modules 1 0 inf
fib_recursive 0 0 NA
scoped_resource 0 0 NA

raw benchmark files