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
modules 0 182 0.000
fib_iter 8 899 0.008
asdl_generated 4 374 0.010
fib_recursive 11 889 0.012
loops 4 293 0.013
scoped_resource 39 1,034 0.038
parse 30 770 0.038
tuple_return_value 13 193 0.070
containers 8 103 0.077
files 7 67 0.111
length 41 202 0.202
cartesian 69 341 0.204
classes 3 15 0.217
escape 106 347 0.307
varargs 15 31 0.501
cgi 265 517 0.513
control_flow 205 108 1.906

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 10.6 0.42
parse 3.8 7.6 0.50
asdl_generated 3.5 6.9 0.51
cgi 3.5 6.9 0.51
escape 3.7 7.1 0.52
loops 3.7 7.1 0.52
cartesian 3.7 6.9 0.53
modules 3.7 6.9 0.53
scoped_resource 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
fib_iter 3.9 6.9 0.57
containers 28.5 47.8 0.60
varargs 5.4 7.1 0.76

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 15 0.000
fib_iter 0 4 0.000
fib_recursive 0 8 0.000
files 0 8 0.000
loops 0 4 0.000
parse 0 16 0.000
modules 2 8 0.232
containers 8 32 0.249
escape 4 8 0.494
control_flow 4 8 0.504
length 4 8 0.515
asdl_generated 7 8 0.902
varargs 50 42 1.185
cartesian 20 4 5.095
scoped_resource 8 0 inf
tuple_return_value 7 0 inf
cgi 0 0 NA

raw benchmark files