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 30 0.000
loops 0 300 0.000
fib_iter 8 890 0.008
asdl_generated 4 376 0.009
modules 2 185 0.010
fib_recursive 11 898 0.012
parse 22 775 0.029
scoped_resource 39 1,007 0.039
containers 12 110 0.107
tuple_return_value 20 184 0.107
files 8 68 0.112
length 45 192 0.234
cartesian 86 331 0.261
escape 97 347 0.279
cgi 255 506 0.504
varargs 25 16 1.532
control_flow 201 110 1.822

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
scoped_resource 3.5 7.1 0.50
cartesian 3.5 6.9 0.51
escape 3.5 6.9 0.51
fib_iter 3.5 6.9 0.51
cgi 3.7 7.1 0.52
control_flow 3.7 7.1 0.52
tuple_return_value 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
loops 3.8 7.1 0.54
files 3.8 6.9 0.55
length 3.8 6.9 0.55
fib_recursive 3.8 6.8 0.56
modules 3.9 6.9 0.57
containers 28.6 47.8 0.60
varargs 5.4 6.8 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 8 0.000
fib_iter 0 8 0.000
files 0 8 0.000
length 0 12 0.000
tuple_return_value 0 8 0.000
containers 4 24 0.167
scoped_resource 8 12 0.650
varargs 41 57 0.729
asdl_generated 7 8 0.892
parse 7 8 0.929
cartesian 4 4 0.984
escape 8 8 1.010
control_flow 8 4 2.001
classes 3 0 inf
loops 4 0 inf
fib_recursive 0 0 NA
modules 0 0 NA

raw benchmark files