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
fib_iter 4 894 0.004
modules 2 176 0.010
fib_recursive 11 871 0.012
loops 4 288 0.013
asdl_generated 7 382 0.019
parse 29 777 0.038
scoped_resource 43 1,025 0.042
files 4 76 0.050
tuple_return_value 16 185 0.087
containers 11 112 0.103
length 45 202 0.223
cartesian 86 340 0.253
escape 91 335 0.272
classes 3 12 0.285
cgi 260 505 0.514
varargs 21 16 1.284
control_flow 213 107 1.989

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
escape 3.5 7.1 0.50
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
fib_iter 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
loops 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
length 3.8 6.8 0.56
containers 28.5 47.8 0.59
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 19 0.000
control_flow 0 8 0.000
fib_recursive 0 12 0.000
length 0 12 0.000
loops 0 8 0.000
modules 0 8 0.000
parse 0 12 0.000
containers 4 28 0.137
scoped_resource 4 8 0.487
tuple_return_value 4 8 0.502
varargs 46 56 0.807
asdl_generated 4 4 0.893
fib_iter 4 4 0.951
cgi 8 8 0.997
cartesian 4 4 1.026
escape 16 12 1.327
files 4 0 inf

raw benchmark files