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 19 0.000
loops 0 286 0.000
fib_iter 4 880 0.004
asdl_generated 4 382 0.009
modules 2 176 0.010
fib_recursive 11 886 0.012
parse 25 762 0.033
scoped_resource 40 1,040 0.038
tuple_return_value 20 190 0.108
files 7 68 0.109
containers 15 118 0.128
length 44 203 0.218
cartesian 85 327 0.260
escape 106 347 0.304
cgi 252 508 0.496
varargs 31 20 1.572
control_flow 206 105 1.967

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 10.7 0.41
parse 3.8 7.6 0.50
cgi 3.5 6.9 0.51
escape 3.5 6.9 0.51
fib_iter 3.5 6.9 0.51
loops 3.8 7.2 0.53
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
files 3.8 7.1 0.54
length 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
fib_recursive 3.9 6.9 0.57
containers 28.5 47.8 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
containers 0 16 0.000
control_flow 0 8 0.000
escape 0 8 0.000
fib_recursive 0 4 0.000
files 0 8 0.000
length 0 8 0.000
modules 0 8 0.000
tuple_return_value 0 8 0.000
fib_iter 4 16 0.238
classes 4 12 0.320
parse 4 12 0.350
cgi 4 8 0.500
cartesian 4 8 0.507
loops 4 8 0.524
varargs 35 52 0.680
asdl_generated 7 0 inf
scoped_resource 8 0 inf

raw benchmark files