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
modules 0 170 0.000
fib_iter 8 902 0.008
fib_recursive 11 889 0.012
loops 4 298 0.013
asdl_generated 5 374 0.014
parse 30 758 0.039
scoped_resource 44 1,023 0.043
files 4 64 0.058
containers 8 114 0.067
tuple_return_value 20 193 0.105
classes 3 17 0.192
length 45 200 0.225
cartesian 84 338 0.247
escape 93 347 0.268
cgi 246 516 0.476
varargs 23 28 0.811
control_flow 208 109 1.910

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
parse 3.7 7.6 0.48
escape 3.4 6.9 0.49
cartesian 3.5 6.9 0.51
asdl_generated 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
loops 3.8 7.2 0.53
cgi 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
length 3.7 6.9 0.53
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 7.1 0.56
containers 28.5 47.8 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 13 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
length 0 12 0.000
loops 0 4 0.000
parse 0 16 0.000
modules 2 12 0.146
files 4 12 0.311
containers 8 20 0.373
asdl_generated 5 8 0.672
varargs 41 44 0.946
scoped_resource 4 4 0.990
control_flow 4 4 0.992
cgi 8 4 1.981
cartesian 8 4 2.002
escape 12 4 2.919
tuple_return_value 0 0 NA

raw benchmark files