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
fib_iter 8 1,045 0.007
modules 2 178 0.010
fib_recursive 11 879 0.012
loops 4 295 0.012
asdl_generated 11 379 0.029
parse 22 755 0.029
containers 4 103 0.038
scoped_resource 44 1,013 0.043
files 4 75 0.051
tuple_return_value 20 201 0.100
classes 3 19 0.166
length 41 203 0.200
cartesian 85 322 0.263
escape 98 348 0.282
cgi 254 504 0.504
varargs 12 16 0.740
control_flow 208 109 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 4.3 10.7 0.40
parse 3.8 7.6 0.50
scoped_resource 3.5 7.1 0.50
escape 3.5 6.9 0.51
cartesian 3.7 7.1 0.52
loops 3.8 7.2 0.53
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
length 3.7 6.9 0.53
modules 3.7 6.9 0.53
control_flow 3.8 7.1 0.54
files 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.6 47.7 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
cgi 0 8 0.000
classes 0 11 0.000
control_flow 0 8 0.000
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
loops 0 4 0.000
modules 0 4 0.000
scoped_resource 4 12 0.330
containers 12 32 0.366
cartesian 4 8 0.501
length 4 8 0.510
files 4 4 0.918
parse 7 8 0.923
varargs 55 55 0.987
escape 8 4 1.961
tuple_return_value 0 0 NA

raw benchmark files