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
loops 0 286 0.000
modules 0 177 0.000
fib_iter 7 884 0.008
fib_recursive 11 883 0.012
asdl_generated 11 379 0.030
parse 25 784 0.032
scoped_resource 43 1,017 0.042
containers 11 105 0.103
files 8 72 0.105
tuple_return_value 20 188 0.107
classes 3 22 0.151
length 45 202 0.223
cartesian 82 345 0.238
escape 102 345 0.296
cgi 246 506 0.487
varargs 19 24 0.806
control_flow 208 117 1.773

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 10.8 0.40
cgi 3.4 7.1 0.48
escape 3.5 7.1 0.50
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
files 3.7 6.9 0.53
length 3.7 6.9 0.53
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
tuple_return_value 3.8 7.1 0.54
modules 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.7 48.0 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 4 0.000
classes 0 9 0.000
control_flow 0 4 0.000
fib_iter 0 12 0.000
fib_recursive 0 12 0.000
files 0 4 0.000
length 0 8 0.000
tuple_return_value 0 4 0.000
containers 4 28 0.128
modules 2 8 0.219
loops 4 8 0.451
scoped_resource 4 8 0.485
cgi 4 8 0.502
varargs 47 48 0.968
escape 8 8 1.018
parse 4 4 1.048
cartesian 8 4 2.044

raw benchmark files