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 31 0.000
loops 0 299 0.000
fib_iter 4 891 0.004
modules 2 186 0.011
fib_recursive 11 888 0.012
asdl_generated 7 376 0.019
parse 26 754 0.035
scoped_resource 36 1,043 0.035
tuple_return_value 12 189 0.064
containers 8 104 0.075
files 8 78 0.102
length 38 203 0.187
cartesian 79 327 0.240
escape 104 352 0.295
cgi 251 511 0.492
control_flow 203 104 1.944
varargs 24 8 3.080

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 3.9 7.7 0.51
escape 3.5 6.9 0.51
asdl_generated 3.7 7.1 0.52
fib_recursive 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
length 3.7 6.9 0.53
modules 3.7 6.9 0.53
files 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
loops 3.9 7.1 0.56
tuple_return_value 3.8 6.8 0.56
containers 28.3 48.0 0.59
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
fib_recursive 0 12 0.000
containers 8 32 0.242
parse 4 12 0.314
fib_iter 4 8 0.473
control_flow 4 8 0.496
varargs 43 65 0.664
asdl_generated 4 4 0.901
loops 4 4 0.946
length 8 8 0.955
cartesian 12 12 0.985
cgi 4 4 0.992
escape 4 4 0.998
tuple_return_value 8 4 2.015
scoped_resource 12 4 3.035
classes 4 0 inf
files 0 0 NA
modules 0 0 NA

raw benchmark files