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
containers 0 99 0.000
fib_iter 4 884 0.004
fib_recursive 7 889 0.008
modules 2 173 0.010
loops 4 300 0.013
asdl_generated 7 383 0.019
parse 17 758 0.022
scoped_resource 44 1,057 0.041
files 4 63 0.060
tuple_return_value 17 180 0.096
classes 3 27 0.124
length 41 207 0.199
cartesian 83 335 0.247
escape 93 356 0.262
cgi 270 515 0.524
varargs 29 16 1.798
control_flow 206 106 1.935

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
cgi 3.5 7.1 0.50
parse 3.8 7.6 0.50
escape 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
length 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
loops 3.8 7.1 0.54
modules 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
control_flow 3.9 6.9 0.57
containers 28.7 47.8 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 8 0.000
classes 0 4 0.000
loops 0 12 0.000
modules 0 8 0.000
files 4 12 0.320
control_flow 4 12 0.341
tuple_return_value 4 12 0.360
containers 16 36 0.436
fib_recursive 4 8 0.447
fib_iter 4 8 0.473
varargs 37 56 0.661
length 4 4 1.037
parse 12 8 1.552
cartesian 8 4 1.979
asdl_generated 4 0 inf
escape 12 0 inf
scoped_resource 4 0 inf

raw benchmark files