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 23 0.000
fib_iter 8 886 0.009
modules 2 180 0.010
fib_recursive 11 884 0.012
loops 4 308 0.013
parse 23 777 0.030
asdl_generated 11 376 0.030
scoped_resource 42 1,026 0.041
containers 8 116 0.073
tuple_return_value 21 207 0.099
files 9 74 0.125
length 44 205 0.214
cartesian 90 324 0.277
escape 108 350 0.309
cgi 258 506 0.510
varargs 24 19 1.213
control_flow 209 109 1.924

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
fib_recursive 3.7 7.1 0.52
loops 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
length 3.7 6.9 0.53
scoped_resource 3.8 7.1 0.54
tuple_return_value 3.8 7.1 0.54
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.6 47.8 0.60
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
cartesian 0 16 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
length 0 4 0.000
modules 0 8 0.000
containers 8 24 0.352
classes 4 8 0.464
varargs 43 55 0.794
cgi 12 12 0.996
scoped_resource 8 4 1.898
parse 8 4 1.917
escape 0 0 NA
loops 0 0 NA
tuple_return_value 0 0 NA

raw benchmark files