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 19 0.000
modules 0 171 0.000
fib_iter 8 875 0.009
fib_recursive 11 882 0.012
loops 4 281 0.013
asdl_generated 7 379 0.019
parse 22 751 0.029
scoped_resource 43 1,050 0.041
containers 8 120 0.064
tuple_return_value 20 186 0.109
files 7 68 0.110
length 44 192 0.228
cartesian 74 324 0.229
escape 99 348 0.283
cgi 265 509 0.520
varargs 27 16 1.693
control_flow 209 103 2.018

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 10.7 0.41
parse 3.8 7.6 0.50
cgi 3.5 6.9 0.51
fib_iter 3.5 6.9 0.51
escape 3.7 7.1 0.52
fib_recursive 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
length 3.9 6.9 0.57
control_flow 3.9 6.8 0.58
containers 28.6 47.7 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 12 0.000
control_flow 0 12 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
files 0 8 0.000
length 0 16 0.000
loops 0 16 0.000
tuple_return_value 0 8 0.000
modules 2 12 0.156
classes 3 11 0.286
containers 8 16 0.478
parse 7 12 0.607
varargs 39 56 0.691
asdl_generated 4 4 0.890
scoped_resource 4 4 0.981
escape 8 8 1.025
cartesian 16 8 1.951

raw benchmark files