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 0 175 0.000
fib_iter 8 888 0.008
fib_recursive 11 888 0.012
loops 4 285 0.013
asdl_generated 7 377 0.019
parse 26 758 0.034
scoped_resource 43 1,023 0.042
tuple_return_value 12 192 0.063
files 7 71 0.103
containers 11 107 0.107
length 40 203 0.197
classes 3 16 0.206
cartesian 78 332 0.234
escape 94 354 0.266
cgi 251 513 0.489
control_flow 205 113 1.815
varargs 27 12 2.303

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
parse 3.8 7.6 0.50
fib_iter 3.5 6.9 0.51
control_flow 3.7 7.1 0.52
length 3.7 7.1 0.52
loops 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
tuple_return_value 3.8 7.1 0.54
escape 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
modules 3.8 6.9 0.55
files 3.8 6.7 0.57
containers 28.7 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 16 0.000
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
files 0 4 0.000
loops 0 8 0.000
containers 4 28 0.137
modules 2 12 0.152
scoped_resource 4 12 0.329
parse 4 8 0.530
varargs 39 59 0.658
asdl_generated 4 4 0.924
control_flow 4 4 0.977
length 4 4 1.003
cgi 12 8 1.489
escape 12 8 1.545
cartesian 12 4 3.071
tuple_return_value 8 0 inf

raw benchmark files