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 0 291 0.000
modules 0 171 0.000
fib_iter 4 889 0.005
fib_recursive 11 876 0.012
asdl_generated 7 384 0.019
parse 26 772 0.034
containers 4 115 0.034
scoped_resource 44 1,057 0.041
tuple_return_value 16 199 0.082
files 8 72 0.108
classes 3 24 0.136
length 36 203 0.179
cartesian 86 329 0.262
escape 103 353 0.290
cgi 269 523 0.515
varargs 16 8 1.964
control_flow 213 106 2.012

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 7.7 0.51
cartesian 3.5 6.9 0.51
fib_iter 3.7 7.1 0.52
escape 3.5 6.8 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
length 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
files 3.8 7.1 0.54
loops 3.8 7.1 0.54
modules 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.5 47.7 0.60
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 8 0.000
control_flow 0 8 0.000
fib_recursive 0 12 0.000
files 0 4 0.000
modules 2 12 0.154
scoped_resource 4 12 0.330
fib_iter 4 12 0.342
asdl_generated 4 8 0.454
loops 4 8 0.471
containers 12 24 0.497
cartesian 4 8 0.517
varargs 51 64 0.798
parse 4 4 0.924
length 8 8 1.012
escape 4 4 1.022
tuple_return_value 4 0 inf
cgi 0 0 NA

raw benchmark files