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
loops 0 284 0.000
modules 0 177 0.000
fib_recursive 7 885 0.008
fib_iter 8 889 0.009
asdl_generated 11 382 0.028
containers 4 117 0.032
parse 26 778 0.033
scoped_resource 38 1,058 0.036
files 4 63 0.059
tuple_return_value 16 189 0.086
length 36 202 0.180
cartesian 86 329 0.263
escape 107 336 0.319
cgi 250 504 0.496
varargs 27 20 1.365
control_flow 204 105 1.951

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
parse 3.7 7.6 0.48
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
escape 3.7 7.1 0.52
fib_recursive 3.7 6.9 0.53
control_flow 3.8 7.1 0.54
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.6 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
escape 0 12 0.000
fib_iter 0 8 0.000
modules 2 8 0.222
loops 4 12 0.303
files 4 12 0.315
classes 3 8 0.420
control_flow 4 8 0.488
cgi 4 8 0.496
cartesian 4 8 0.514
containers 11 16 0.704
varargs 39 52 0.750
parse 4 4 0.925
tuple_return_value 4 4 1.009
length 8 4 1.995
fib_recursive 4 0 inf
scoped_resource 8 0 inf
asdl_generated 0 0 NA

raw benchmark files