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
loops gen 0 291 0.000
fib_iter gen 8 888 0.009
modules gen 2 183 0.011
fib_recursive gen 11 911 0.012
asdl_generated gen 11 374 0.030
parse gen 29 769 0.038
scoped_resource gen 48 1,017 0.047
containers gen 8 118 0.069
tuple_return_value gen 16 190 0.086
files gen 8 68 0.117
classes gen 3 20 0.174
length gen 41 201 0.206
cartesian gen 87 324 0.267
escape gen 103 340 0.302
gc_stack_roots gen 2 4 0.441
varargs gen 8 16 0.512
cgi gen 266 507 0.524
control_flow gen 207 106 1.960

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 10.8 0.41
loops gen 3.4 7.1 0.48
gc_stack_roots gen 3.4 6.9 0.49
cartesian gen 3.5 7.1 0.50
length gen 3.5 6.9 0.51
tuple_return_value gen 3.5 6.9 0.51
escape gen 3.5 6.8 0.52
parse gen 3.9 7.5 0.53
cgi gen 3.7 6.9 0.53
scoped_resource gen 3.7 6.9 0.53
modules gen 3.8 7.1 0.54
fib_recursive gen 3.7 6.8 0.54
asdl_generated gen 3.8 6.9 0.55
fib_iter gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
control_flow gen 3.9 6.9 0.57
containers gen 28.6 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
asdl_generated gen 0 4 0.000
classes gen 0 12 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 8 0.000
files gen 0 8 0.000
gc_stack_roots gen 0 8 0.000
modules gen 0 4 0.000
scoped_resource gen 0 12 0.000
control_flow gen 4 12 0.339
containers gen 8 20 0.413
length gen 4 8 0.477
cgi gen 4 8 0.504
escape gen 8 12 0.658
loops gen 4 4 0.970
tuple_return_value gen 4 4 1.009
varargs gen 58 56 1.025
cartesian gen 4 4 1.031
parse gen 0 0 NA

raw benchmark files