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 0 293 0.000
fib_iter 8 895 0.008
modules 2 169 0.010
fib_recursive 11 873 0.012
asdl_generated 7 375 0.019
parse 29 790 0.037
scoped_resource 47 1,053 0.044
containers 7 125 0.059
tuple_return_value 16 179 0.090
files 8 63 0.120
classes 4 23 0.155
length 40 204 0.195
cartesian 86 333 0.258
escape 99 347 0.285
cgi 265 523 0.506
varargs 19 20 0.983
control_flow 201 114 1.771

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 3.8 7.7 0.49
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
escape 3.5 6.9 0.51
fib_recursive 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
length 3.7 6.9 0.53
scoped_resource 3.8 7.1 0.54
files 3.8 6.9 0.55
loops 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.7 47.8 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
files 0 12 0.000
modules 0 12 0.000
parse 0 4 0.000
scoped_resource 0 12 0.000
tuple_return_value 4 12 0.337
length 4 8 0.498
asdl_generated 4 4 0.893
varargs 47 51 0.907
containers 7 8 0.920
escape 8 8 0.993
cartesian 4 0 inf
cgi 4 0 inf
control_flow 8 0 inf
loops 4 0 inf

raw benchmark files