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
fib_iter 8 890 0.009
modules 2 173 0.010
fib_recursive 11 882 0.012
loops 4 289 0.013
parse 22 774 0.029
asdl_generated 11 371 0.029
containers 4 121 0.032
scoped_resource 44 1,034 0.043
tuple_return_value 16 188 0.085
files 7 69 0.107
classes 3 27 0.121
length 45 204 0.220
cartesian 79 321 0.247
escape 99 371 0.267
cgi 265 501 0.529
varargs 28 16 1.735
control_flow 210 111 1.886

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 4.3 10.6 0.41
asdl_generated 3.5 7.1 0.50
length 3.5 6.9 0.51
parse 3.9 7.6 0.52
cgi 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
escape 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
files 3.8 7.1 0.54
loops 3.8 7.1 0.54
cartesian 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
modules 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
containers 28.8 47.8 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
classes 0 4 0.000
control_flow 0 4 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
files 0 8 0.000
length 0 8 0.000
loops 0 4 0.000
modules 0 12 0.000
cgi 4 12 0.337
escape 8 12 0.662
varargs 39 56 0.708
containers 12 16 0.716
tuple_return_value 4 4 1.003
scoped_resource 4 4 1.007
cartesian 12 8 1.483
parse 7 4 1.852

raw benchmark files