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 3 634 0.004
modules 1 123 0.008
scoped_resource 7 569 0.012
fib_recursive 7 628 0.012
loops 2 202 0.012
asdl_generated 7 269 0.026
parse 20 552 0.036
files 5 52 0.090
tuple_return_value 13 137 0.099
containers 11 78 0.139
classes 2 11 0.169
length 30 148 0.202
cartesian 58 237 0.243
escape 69 246 0.281
cgi 175 355 0.493
varargs 8 11 0.675
control_flow 228 71 3.219

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 10.9 0.41
parse 3.9 7.7 0.50
cgi 3.7 7.2 0.51
scoped_resource 3.7 7.2 0.52
loops 3.8 7.3 0.52
cartesian 3.7 7.0 0.52
modules 3.8 7.2 0.53
fib_recursive 3.8 7.1 0.53
length 3.8 7.1 0.53
escape 3.8 7.1 0.53
files 3.9 7.1 0.54
asdl_generated 3.8 7.0 0.54
fib_iter 3.8 7.0 0.54
tuple_return_value 3.8 7.0 0.54
control_flow 3.9 7.1 0.55
containers 28.5 47.7 0.60
varargs 5.6 7.0 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
cgi 0 4 0.000
classes 0 8 0.000
containers 0 16 0.000
control_flow 0 8 0.000
fib_recursive 0 4 0.000
loops 0 8 0.000
modules 0 4 0.000
parse 0 8 0.000
scoped_resource 0 4 0.000
fib_iter 3 4 0.662
varargs 19 19 1.012
escape 4 4 1.025
cartesian 4 0 inf
files 0 0 NA
length 0 0 NA
tuple_return_value 0 0 NA

raw benchmark files