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
containers 0 121 0.000
loops 0 297 0.000
modules 0 186 0.000
fib_recursive 7 885 0.008
fib_iter 8 889 0.009
parse 22 764 0.029
asdl_generated 11 366 0.029
scoped_resource 44 1,109 0.040
files 4 64 0.059
tuple_return_value 20 189 0.107
classes 3 28 0.114
length 45 200 0.224
cartesian 83 351 0.235
escape 100 353 0.283
cgi 250 511 0.488
control_flow 202 111 1.822
varargs 32 12 2.594

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 4.3 10.7 0.40
cgi 3.5 7.1 0.50
parse 3.8 7.6 0.50
cartesian 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
files 3.8 7.1 0.54
loops 3.8 7.1 0.54
modules 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
length 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.5 47.6 0.60
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 12 0.000
classes 0 4 0.000
fib_iter 0 8 0.000
length 0 8 0.000
tuple_return_value 0 4 0.000
files 4 12 0.314
loops 4 8 0.480
scoped_resource 4 8 0.501
cgi 4 8 0.504
varargs 35 61 0.584
parse 7 12 0.620
containers 16 24 0.673
fib_recursive 4 4 0.898
cartesian 8 8 0.986
escape 8 4 1.991
control_flow 8 4 2.040
modules 2 0 inf

raw benchmark files