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
files 0 70 0.000
modules 0 174 0.000
fib_iter 4 889 0.004
fib_recursive 11 878 0.012
loops 4 287 0.013
asdl_generated 7 366 0.020
parse 22 780 0.028
scoped_resource 47 1,042 0.045
containers 8 113 0.068
tuple_return_value 16 187 0.086
classes 3 19 0.165
length 41 203 0.204
cartesian 87 327 0.266
escape 106 349 0.305
cgi 251 502 0.501
varargs 8 16 0.521
control_flow 206 112 1.844

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 4.3 10.7 0.40
cartesian 3.5 7.1 0.50
escape 3.5 6.9 0.51
parse 3.9 7.6 0.52
asdl_generated 3.7 7.1 0.52
fib_recursive 3.7 7.1 0.52
loops 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
tuple_return_value 3.7 7.1 0.52
cgi 3.7 6.9 0.53
modules 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.7 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 11 0.000
escape 0 4 0.000
fib_recursive 0 8 0.000
loops 0 12 0.000
scoped_resource 0 8 0.000
modules 2 8 0.225
asdl_generated 4 12 0.300
containers 8 20 0.383
fib_iter 4 8 0.471
cartesian 4 8 0.495
cgi 4 8 0.497
length 4 8 0.521
files 8 8 0.934
control_flow 4 4 0.993
tuple_return_value 4 4 1.009
varargs 58 56 1.042
parse 7 4 1.827

raw benchmark files