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
loops 0 288 0.000
fib_iter 8 1,241 0.006
modules 2 171 0.011
fib_recursive 11 895 0.012
asdl_generated 7 375 0.019
parse 26 770 0.033
scoped_resource 40 1,026 0.039
files 4 69 0.054
containers 8 113 0.069
tuple_return_value 16 184 0.088
classes 3 23 0.142
length 41 214 0.190
escape 94 346 0.271
cartesian 89 324 0.274
cgi 265 511 0.519
varargs 20 12 1.621
control_flow 212 110 1.918

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 3.7 7.1 0.52
asdl_generated 3.5 6.8 0.52
cartesian 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
escape 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
fib_iter 3.8 7.1 0.54
loops 3.8 7.1 0.54
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
containers 28.6 47.7 0.60
varargs 5.5 6.8 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 8 0.000
control_flow 0 4 0.000
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
modules 0 12 0.000
parse 4 12 0.305
loops 4 12 0.320
containers 8 24 0.320
files 4 8 0.460
cgi 4 8 0.503
tuple_return_value 4 8 0.503
varargs 47 60 0.778
asdl_generated 4 4 0.902
cartesian 4 4 1.008
scoped_resource 8 4 1.987
escape 12 4 3.073
length 4 0 inf

raw benchmark files