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 23 0.000
modules 0 178 0.000
fib_iter 4 893 0.004
fib_recursive 11 883 0.012
loops 4 293 0.013
asdl_generated 11 400 0.027
parse 27 754 0.035
containers 4 104 0.037
scoped_resource 44 1,042 0.042
files 7 69 0.105
tuple_return_value 20 186 0.108
length 40 202 0.198
cartesian 90 328 0.275
escape 106 344 0.310
cgi 254 509 0.499
varargs 24 20 1.188
control_flow 210 107 1.966

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 4.2 10.8 0.39
asdl_generated 3.5 7.1 0.50
cgi 3.5 7.1 0.50
parse 3.8 7.6 0.50
fib_recursive 3.5 6.9 0.51
cartesian 3.7 6.9 0.53
escape 3.7 6.9 0.53
modules 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
loops 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
files 3.8 6.8 0.56
containers 28.7 47.7 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 4 0.000
cartesian 0 4 0.000
cgi 0 4 0.000
control_flow 0 8 0.000
escape 0 8 0.000
fib_recursive 0 12 0.000
files 0 8 0.000
loops 0 4 0.000
tuple_return_value 0 8 0.000
parse 4 16 0.238
containers 11 32 0.357
classes 3 8 0.433
modules 2 4 0.449
length 4 8 0.494
varargs 44 52 0.837
fib_iter 4 4 0.952
scoped_resource 4 0 inf

raw benchmark files