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 0 290 0.000
fib_iter 8 889 0.008
modules 2 173 0.010
fib_recursive 11 888 0.012
asdl_generated 7 373 0.019
scoped_resource 40 1,042 0.039
parse 30 765 0.039
files 4 65 0.060
containers 8 112 0.068
tuple_return_value 16 181 0.089
classes 3 22 0.149
length 40 206 0.194
escape 93 352 0.265
cartesian 91 334 0.272
cgi 269 504 0.533
varargs 21 16 1.295
control_flow 210 106 1.989

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 10.7 0.41
parse 3.8 7.5 0.51
cartesian 3.5 6.9 0.51
escape 3.5 6.9 0.51
length 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
modules 3.7 6.9 0.53
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
fib_recursive 3.7 6.8 0.54
files 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
tuple_return_value 3.9 6.9 0.57
containers 28.5 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cartesian 0 8 0.000
cgi 0 12 0.000
classes 0 9 0.000
control_flow 0 8 0.000
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
modules 0 8 0.000
parse 0 12 0.000
tuple_return_value 4 12 0.340
files 4 12 0.341
containers 8 20 0.380
asdl_generated 4 8 0.448
loops 4 8 0.465
scoped_resource 8 12 0.672
varargs 45 56 0.814
length 4 4 0.989
escape 12 4 3.041

raw benchmark files