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 0 115 0.000
fib_iter 8 898 0.008
modules 2 170 0.010
fib_recursive 11 893 0.012
loops 4 292 0.013
parse 21 772 0.027
asdl_generated 11 376 0.029
scoped_resource 48 1,004 0.047
files 7 76 0.098
tuple_return_value 20 182 0.110
classes 3 27 0.128
length 37 202 0.182
cartesian 87 336 0.258
escape 95 361 0.263
cgi 269 511 0.526
varargs 13 20 0.628
control_flow 210 108 1.948

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 10.8 0.41
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
fib_recursive 3.7 7.1 0.52
files 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
escape 3.7 6.9 0.53
control_flow 3.8 7.1 0.54
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.7 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
cgi 0 4 0.000
classes 0 4 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
loops 0 4 0.000
modules 0 12 0.000
scoped_resource 0 12 0.000
tuple_return_value 0 8 0.000
containers 15 20 0.776
length 7 8 0.930
parse 8 8 1.043
varargs 54 52 1.046
cartesian 4 0 inf
escape 12 0 inf
files 0 0 NA

raw benchmark files