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 0 286 0.000
fib_iter 7 893 0.008
modules 2 182 0.011
fib_recursive 11 904 0.012
asdl_generated 7 375 0.019
parse 30 764 0.039
containers 4 95 0.041
scoped_resource 43 1,040 0.041
files 7 72 0.103
tuple_return_value 20 190 0.106
classes 3 17 0.184
length 40 208 0.193
cartesian 83 330 0.251
escape 102 343 0.296
cgi 268 513 0.522
varargs 16 20 0.786
control_flow 208 108 1.919

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 10.8 0.41
parse 3.9 7.7 0.51
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
fib_recursive 3.5 6.9 0.51
tuple_return_value 3.7 6.9 0.53
fib_iter 3.8 7.1 0.54
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
escape 3.7 6.8 0.54
modules 3.7 6.8 0.54
control_flow 3.8 6.9 0.55
files 3.8 6.9 0.55
containers 28.7 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 13 0.000
control_flow 0 8 0.000
fib_iter 0 12 0.000
fib_recursive 0 12 0.000
files 0 4 0.000
modules 0 8 0.000
parse 0 4 0.000
tuple_return_value 0 4 0.000
containers 12 40 0.294
escape 4 12 0.340
asdl_generated 4 8 0.451
loops 4 8 0.454
scoped_resource 4 8 0.485
varargs 51 52 0.982
cartesian 8 8 0.993
length 4 4 1.003
cgi 0 0 NA

raw benchmark files