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
files 0 66 0.000
fib_iter 4 890 0.004
fib_recursive 7 885 0.008
modules 2 172 0.010
loops 4 292 0.013
asdl_generated 11 371 0.029
parse 29 780 0.038
scoped_resource 48 1,017 0.047
containers 8 115 0.068
tuple_return_value 20 200 0.101
length 42 208 0.203
cartesian 77 324 0.238
classes 3 13 0.246
escape 103 339 0.304
cgi 249 504 0.494
control_flow 206 107 1.919
varargs 33 12 2.732

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 10.8 0.41
scoped_resource 3.5 7.1 0.50
asdl_generated 3.5 6.9 0.51
cgi 3.5 6.9 0.51
parse 3.9 7.5 0.53
cartesian 3.7 6.9 0.53
escape 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
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
control_flow 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
asdl_generated 0 12 0.000
classes 0 17 0.000
loops 0 4 0.000
modules 0 12 0.000
scoped_resource 0 8 0.000
tuple_return_value 0 4 0.000
cgi 4 16 0.249
fib_iter 4 12 0.317
escape 4 12 0.331
containers 8 20 0.380
control_flow 4 8 0.508
varargs 33 61 0.546
files 7 12 0.645
fib_recursive 4 4 0.895
cartesian 12 8 1.524
length 4 0 inf
parse 0 0 NA

raw benchmark files