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
fib_recursive 7 875 0.008
fib_iter 7 889 0.008
modules 2 179 0.010
loops 4 301 0.012
asdl_generated 11 376 0.028
parse 26 783 0.033
scoped_resource 44 1,016 0.043
files 4 71 0.053
tuple_return_value 12 185 0.065
containers 15 109 0.141
length 44 200 0.220
cartesian 90 340 0.265
escape 108 347 0.310
cgi 266 516 0.515
control_flow 208 107 1.948
varargs 29 12 2.469

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 10.7 0.40
cartesian 3.5 7.1 0.50
fib_iter 3.5 7.1 0.50
parse 3.8 7.5 0.51
modules 3.5 6.9 0.51
loops 3.8 7.2 0.53
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
files 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
escape 3.7 6.8 0.54
fib_recursive 3.7 6.8 0.54
scoped_resource 3.7 6.8 0.54
control_flow 3.8 6.9 0.55
length 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 12 0.000
cartesian 0 4 0.000
cgi 0 4 0.000
containers 0 24 0.000
escape 0 4 0.000
fib_iter 0 4 0.000
length 0 12 0.000
modules 0 4 0.000
classes 3 11 0.282
fib_recursive 4 8 0.449
scoped_resource 4 8 0.495
control_flow 4 8 0.506
varargs 37 62 0.595
files 4 4 0.952
tuple_return_value 8 8 1.019
parse 4 0 inf
loops 0 0 NA

raw benchmark files