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 5 643 0.008
modules 1 127 0.009
fib_recursive 7 661 0.011
loops 2 214 0.012
scoped_resource 7 555 0.012
asdl_generated 7 272 0.025
parse 20 571 0.035
containers 5 87 0.052
tuple_return_value 14 134 0.102
files 5 51 0.104
length 28 155 0.181
classes 2 11 0.196
cartesian 63 248 0.253
escape 78 262 0.298
varargs 8 25 0.308
cgi 193 379 0.510
control_flow 152 80 1.897

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 10.9 0.41
parse 3.9 7.8 0.50
asdl_generated 3.7 7.2 0.51
cgi 3.7 7.1 0.52
escape 3.7 7.2 0.52
cartesian 3.7 7.1 0.52
scoped_resource 3.8 7.2 0.53
length 3.8 7.2 0.53
modules 3.8 7.1 0.53
files 3.8 7.1 0.54
loops 4.0 7.3 0.54
fib_iter 3.9 7.1 0.54
tuple_return_value 3.8 7.0 0.54
fib_recursive 3.9 7.1 0.55
control_flow 3.9 7.1 0.55
containers 28.5 47.8 0.60
varargs 5.6 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
cartesian 0 4 0.000
classes 0 7 0.000
fib_recursive 0 4 0.000
modules 0 4 0.000
parse 0 4 0.000
tuple_return_value 0 4 0.000
containers 9 8 1.150
varargs 19 4 4.625
length 4 0 inf
cgi 0 0 NA
control_flow 0 0 NA
escape 0 0 NA
fib_iter 0 0 NA
files 0 0 NA
loops 0 0 NA
scoped_resource 0 0 NA

raw benchmark files