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
asdl_generated 0 398 0.000
fib_iter 8 884 0.009
modules 2 179 0.011
fib_recursive 11 880 0.012
loops 4 298 0.013
scoped_resource 40 1,015 0.039
parse 30 751 0.040
files 4 76 0.049
tuple_return_value 20 189 0.106
containers 12 103 0.116
classes 3 19 0.172
length 44 198 0.223
cartesian 91 344 0.263
escape 98 351 0.279
cgi 250 508 0.492
varargs 31 16 1.946
control_flow 209 104 2.004

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 10.8 0.41
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
escape 3.5 6.9 0.51
cgi 3.5 6.8 0.52
asdl_generated 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
length 3.7 6.9 0.53
control_flow 3.8 6.9 0.55
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
loops 3.9 7.1 0.56
fib_iter 3.9 6.9 0.57
containers 28.5 47.8 0.59
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
control_flow 0 12 0.000
fib_iter 0 12 0.000
fib_recursive 0 4 0.000
length 0 12 0.000
loops 0 8 0.000
modules 0 4 0.000
parse 0 12 0.000
tuple_return_value 0 4 0.000
containers 4 36 0.111
cgi 4 8 0.496
varargs 35 56 0.625
scoped_resource 8 8 0.990
escape 8 4 1.941
asdl_generated 11 4 2.664
files 4 0 inf
cartesian 0 0 NA

raw benchmark files