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
modules 0 126 0.000
fib_iter 5 631 0.008
loops 2 208 0.011
fib_recursive 7 613 0.012
scoped_resource 7 522 0.013
asdl_generated 7 266 0.026
parse 20 542 0.036
containers 7 80 0.088
files 5 50 0.091
classes 2 19 0.095
tuple_return_value 13 133 0.099
length 30 143 0.209
cartesian 62 235 0.264
escape 70 253 0.278
cgi 185 358 0.517
varargs 15 13 1.200
control_flow 142 78 1.814

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 11.0 0.41
parse 3.9 7.7 0.50
cartesian 3.7 7.2 0.51
cgi 3.7 7.2 0.51
loops 3.8 7.3 0.52
scoped_resource 3.8 7.2 0.53
asdl_generated 3.8 7.1 0.53
escape 3.7 7.0 0.53
length 3.8 7.2 0.53
modules 3.8 7.1 0.53
files 3.8 7.1 0.54
fib_iter 3.8 7.0 0.54
fib_recursive 3.8 7.0 0.54
tuple_return_value 3.8 7.0 0.54
control_flow 3.9 7.0 0.55
containers 28.7 47.8 0.60
varargs 5.6 7.0 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
fib_iter 0 4 0.000
parse 0 4 0.000
scoped_resource 0 8 0.000
containers 4 12 0.294
varargs 11 17 0.675
modules 1 0 inf
cartesian 0 0 NA
cgi 0 0 NA
classes 0 0 NA
control_flow 0 0 NA
escape 0 0 NA
fib_recursive 0 0 NA
files 0 0 NA
length 0 0 NA
loops 0 0 NA
tuple_return_value 0 0 NA

raw benchmark files