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 0 105 0.000
loops 0 291 0.000
fib_iter 4 890 0.004
modules 2 184 0.010
fib_recursive 11 892 0.012
asdl_generated 11 385 0.028
scoped_resource 39 1,023 0.038
parse 30 759 0.039
tuple_return_value 20 183 0.110
files 8 69 0.117
classes 3 23 0.138
length 33 201 0.166
cartesian 78 340 0.230
escape 94 358 0.264
cgi 249 510 0.489
varargs 23 24 0.973
control_flow 214 112 1.907

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
asdl_generated 3.5 7.1 0.50
parse 3.8 7.6 0.50
loops 3.7 7.2 0.51
cgi 3.5 6.9 0.51
cartesian 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
escape 3.7 6.9 0.53
files 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
modules 3.7 6.8 0.54
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.5 47.7 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 4 0.000
classes 0 8 0.000
control_flow 0 4 0.000
files 0 8 0.000
modules 0 8 0.000
parse 0 12 0.000
tuple_return_value 0 12 0.000
fib_iter 4 8 0.475
cgi 4 8 0.501
containers 16 31 0.504
scoped_resource 8 12 0.651
varargs 43 48 0.892
loops 4 4 0.931
length 11 12 0.939
cartesian 12 0 inf
escape 12 0 inf
fib_recursive 0 0 NA

raw benchmark files