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 27 0.000
containers 0 95 0.000
fib_recursive 7 880 0.008
fib_iter 8 893 0.009
modules 2 181 0.010
loops 4 294 0.013
asdl_generated 11 374 0.029
parse 30 781 0.038
scoped_resource 43 1,024 0.042
tuple_return_value 16 226 0.071
files 8 68 0.111
length 44 205 0.214
cartesian 82 332 0.245
escape 96 347 0.278
cgi 257 506 0.508
varargs 20 16 1.256
control_flow 206 107 1.932

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
cgi 3.5 7.1 0.50
parse 3.8 7.5 0.51
cartesian 3.5 6.9 0.51
fib_iter 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
loops 3.9 7.1 0.56
files 3.8 6.8 0.56
control_flow 3.9 6.9 0.57
containers 28.6 47.7 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
files 0 8 0.000
length 0 4 0.000
loops 0 4 0.000
modules 0 12 0.000
parse 0 4 0.000
containers 15 40 0.387
cgi 4 8 0.504
classes 3 4 0.831
varargs 48 55 0.861
fib_recursive 4 4 0.896
cartesian 8 8 0.970
scoped_resource 4 4 0.979
escape 12 12 1.009
tuple_return_value 4 0 inf

raw benchmark files