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 gen C++ Python C++ : Python
gc_stack_roots gen 0 8 0.000
loops gen 0 293 0.000
fib_iter gen 8 888 0.009
modules gen 2 183 0.010
fib_recursive gen 11 940 0.012
asdl_generated gen 8 385 0.020
containers gen 4 120 0.033
parse gen 29 769 0.038
scoped_resource gen 47 1,071 0.044
tuple_return_value gen 20 190 0.107
files gen 8 68 0.113
classes gen 3 26 0.126
length gen 41 203 0.201
cartesian gen 83 352 0.236
escape gen 103 364 0.283
varargs gen 12 32 0.373
cgi gen 265 508 0.521
control_flow gen 211 105 2.009

Max Resident Set Size (MB)

Lower ratios are better. We use MB (powers of 10), not MiB (powers of 2).

example name gen C++ Python C++ : Python
classes gen 4.5 10.6 0.42
parse gen 3.7 7.6 0.48
cartesian gen 3.5 7.1 0.50
cgi gen 3.5 6.9 0.51
gc_stack_roots gen 3.5 6.9 0.51
length gen 3.7 7.1 0.52
loops gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
asdl_generated gen 3.7 6.9 0.53
control_flow gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
fib_iter gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
modules gen 3.8 6.8 0.56
containers gen 28.5 47.8 0.60
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
classes gen 0 4 0.000
control_flow gen 0 8 0.000
fib_iter gen 0 12 0.000
fib_recursive gen 0 4 0.000
files gen 0 8 0.000
parse gen 0 4 0.000
scoped_resource gen 0 4 0.000
tuple_return_value gen 0 4 0.000
gc_stack_roots gen 2 4 0.487
cgi gen 4 8 0.501
containers gen 12 16 0.746
asdl_generated gen 4 4 0.937
loops gen 4 4 0.955
cartesian gen 8 8 0.988
escape gen 4 4 0.990
length gen 4 4 1.025
varargs gen 55 39 1.393
modules gen 0 0 NA

raw benchmark files