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
classes 0 20 0.000
fib_iter 4 900 0.004
fib_recursive 7 889 0.008
modules 2 175 0.010
loops 4 290 0.013
asdl_generated 11 380 0.030
parse 25 784 0.032
scoped_resource 39 1,022 0.039
containers 4 98 0.040
files 4 68 0.055
tuple_return_value 20 188 0.107
length 44 204 0.217
cartesian 92 327 0.283
escape 108 345 0.313
cgi 257 521 0.492
varargs 16 21 0.755
control_flow 215 105 2.052

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
parse 3.9 7.6 0.52
cartesian 3.7 6.9 0.53
escape 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
files 3.8 7.1 0.54
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
modules 3.8 7.1 0.54
asdl_generated 3.7 6.8 0.54
fib_recursive 3.8 6.9 0.55
control_flow 3.9 7.1 0.56
cgi 3.8 6.8 0.56
fib_iter 3.8 6.8 0.56
containers 28.5 47.8 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cartesian 0 4 0.000
control_flow 0 8 0.000
escape 0 16 0.000
length 0 8 0.000
loops 0 4 0.000
modules 0 8 0.000
tuple_return_value 0 8 0.000
classes 3 12 0.271
containers 12 37 0.317
files 4 8 0.469
fib_iter 4 8 0.479
parse 4 8 0.525
scoped_resource 8 12 0.657
varargs 51 54 0.944
cgi 8 0 inf
fib_recursive 4 0 inf
asdl_generated 0 0 NA

raw benchmark files