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
classes 0 18 0.000
loops 0 298 0.000
fib_iter 8 897 0.009
modules 2 178 0.010
fib_recursive 11 870 0.013
parse 23 777 0.029
containers 4 121 0.033
asdl_generated 12 368 0.033
scoped_resource 45 1,090 0.041
tuple_return_value 14 183 0.078
files 9 61 0.145
length 46 206 0.222
cartesian 77 327 0.235
escape 104 344 0.302
cgi 270 507 0.533
varargs 28 24 1.169
control_flow 212 114 1.851

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 10.5 0.42
parse 3.9 7.7 0.51
cartesian 3.5 6.9 0.51
escape 3.5 6.9 0.51
files 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
modules 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
loops 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
length 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
containers 28.5 47.8 0.60
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 12 0.000
cgi 0 8 0.000
fib_recursive 0 12 0.000
files 0 15 0.000
length 0 4 0.000
modules 0 4 0.000
classes 4 13 0.270
scoped_resource 4 8 0.469
escape 4 8 0.500
containers 12 20 0.590
tuple_return_value 7 12 0.595
varargs 40 48 0.835
loops 4 4 1.115
parse 8 4 1.893
cartesian 16 8 2.031
control_flow 0 0 NA
fib_iter 0 0 NA

raw benchmark files