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
containers 0 110 0.000
files 0 69 0.000
loops 0 288 0.000
modules 0 170 0.000
fib_iter 8 899 0.008
fib_recursive 11 882 0.012
asdl_generated 7 375 0.019
parse 29 755 0.039
scoped_resource 39 1,008 0.039
tuple_return_value 20 187 0.107
classes 3 20 0.161
length 44 200 0.218
cartesian 82 339 0.243
escape 99 346 0.286
cgi 254 508 0.499
varargs 29 28 1.032
control_flow 213 109 1.949

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 3.8 7.7 0.49
cartesian 3.5 7.1 0.50
fib_recursive 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
escape 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
scoped_resource 3.8 7.1 0.54
cgi 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
loops 3.8 6.9 0.55
fib_iter 3.8 6.8 0.56
control_flow 3.9 6.9 0.57
modules 3.9 6.9 0.57
containers 28.5 47.7 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 4 0.000
classes 0 12 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
length 0 8 0.000
parse 0 4 0.000
tuple_return_value 0 8 0.000
modules 2 12 0.150
loops 4 8 0.450
scoped_resource 8 12 0.658
containers 15 20 0.776
varargs 37 44 0.844
asdl_generated 4 4 0.897
files 7 8 0.909
escape 4 4 0.996
cartesian 8 4 2.066

raw benchmark files