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
loops 0 318 0.000
fib_iter 8 883 0.009
modules 2 177 0.010
fib_recursive 11 890 0.012
asdl_generated 7 375 0.019
containers 4 109 0.035
parse 29 768 0.038
scoped_resource 47 1,027 0.045
files 4 72 0.052
tuple_return_value 20 181 0.111
classes 3 19 0.170
length 44 211 0.209
cartesian 80 326 0.247
escape 101 344 0.295
varargs 12 28 0.442
cgi 265 517 0.512
control_flow 202 112 1.801

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
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
loops 3.8 7.2 0.53
asdl_generated 3.7 6.9 0.53
escape 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
fib_recursive 3.7 6.8 0.54
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
tuple_return_value 3.9 6.9 0.57
containers 28.8 47.8 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 11 0.000
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
length 0 4 0.000
modules 0 4 0.000
parse 0 8 0.000
scoped_resource 0 4 0.000
tuple_return_value 0 12 0.000
asdl_generated 4 8 0.446
containers 12 24 0.478
cgi 4 8 0.496
escape 4 8 0.507
files 4 4 0.930
control_flow 4 4 1.009
varargs 53 44 1.219
cartesian 12 8 1.517
loops 4 0 inf

raw benchmark files