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 18 0.000
containers 0 85 0.000
loops 0 204 0.000
scoped_resource 3 528 0.006
fib_iter 5 623 0.008
modules 1 122 0.009
fib_recursive 7 619 0.012
asdl_generated 7 268 0.026
parse 15 535 0.029
tuple_return_value 13 129 0.102
files 7 51 0.143
length 25 143 0.177
escape 73 249 0.292
cartesian 88 236 0.374
cgi 177 361 0.491
varargs 11 13 0.906
control_flow 136 77 1.776

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 7.6 0.51
asdl_generated 3.7 7.1 0.52
escape 3.7 7.1 0.52
cartesian 3.7 7.1 0.52
cgi 3.7 7.0 0.52
scoped_resource 3.7 7.2 0.52
loops 3.8 7.3 0.52
files 3.8 7.2 0.53
fib_recursive 3.8 7.1 0.53
length 3.8 7.1 0.53
modules 3.9 7.1 0.54
control_flow 3.9 7.1 0.55
tuple_return_value 3.9 7.1 0.55
fib_iter 3.9 7.0 0.55
containers 28.5 47.7 0.60
varargs 5.6 7.1 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
modules 0 4 0.000
tuple_return_value 0 8 0.000
loops 2 4 0.582
varargs 15 17 0.906
parse 4 4 0.964
containers 10 4 2.591
cartesian 4 0 inf
classes 2 0 inf
control_flow 8 0 inf
length 4 0 inf
scoped_resource 3 0 inf
asdl_generated 0 0 NA
cgi 0 0 NA
escape 0 0 NA
fib_iter 0 0 NA
fib_recursive 0 0 NA
files 0 0 NA

raw benchmark files