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 22 0.000
containers 0 124 0.000
fib_iter 4 900 0.004
modules 2 170 0.012
fib_recursive 11 872 0.012
loops 4 288 0.013
asdl_generated 11 367 0.029
scoped_resource 40 1,038 0.038
parse 30 773 0.038
files 4 73 0.052
tuple_return_value 20 186 0.109
length 37 197 0.186
cartesian 88 323 0.273
escape 107 341 0.314
cgi 268 521 0.515
varargs 20 20 0.979
control_flow 208 105 1.982

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 10.6 0.42
asdl_generated 3.5 7.1 0.50
parse 3.8 7.5 0.51
cartesian 3.5 6.9 0.51
control_flow 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
length 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
scoped_resource 3.8 7.1 0.54
cgi 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
containers 28.7 47.7 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 12 0.000
cgi 0 8 0.000
control_flow 0 12 0.000
escape 0 8 0.000
fib_recursive 0 8 0.000
loops 0 8 0.000
modules 0 12 0.000
parse 0 8 0.000
tuple_return_value 0 12 0.000
classes 3 11 0.291
length 8 12 0.691
varargs 47 52 0.904
files 4 4 0.937
cartesian 8 8 0.992
fib_iter 4 4 0.992
containers 15 12 1.279
scoped_resource 8 4 1.974

raw benchmark files