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
modules 0 170 0.000
fib_iter 4 891 0.004
loops 4 298 0.012
fib_recursive 11 877 0.012
asdl_generated 5 384 0.014
parse 30 798 0.037
scoped_resource 48 1,028 0.046
tuple_return_value 12 186 0.065
files 7 73 0.101
containers 12 101 0.114
classes 3 27 0.117
length 41 200 0.204
cartesian 82 360 0.229
escape 101 343 0.295
cgi 265 510 0.519
control_flow 208 109 1.897
varargs 27 13 2.148

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 10.6 0.42
parse 3.8 7.7 0.49
asdl_generated 3.7 7.1 0.52
cartesian 3.7 7.1 0.52
control_flow 3.7 7.1 0.52
loops 3.8 7.2 0.53
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
files 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
cgi 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
modules 3.8 6.8 0.56
containers 28.5 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 4 0.000
control_flow 0 4 0.000
fib_recursive 0 12 0.000
files 0 4 0.000
loops 0 4 0.000
parse 0 4 0.000
scoped_resource 0 4 0.000
containers 4 31 0.123
modules 2 12 0.150
escape 4 12 0.338
length 4 8 0.510
varargs 39 59 0.657
asdl_generated 5 8 0.680
fib_iter 4 4 0.942
tuple_return_value 8 8 0.993
cgi 4 4 1.007
cartesian 8 4 2.059

raw benchmark files