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
fib_iter gen 8 905 0.008
modules gen 2 177 0.010
loops gen 4 305 0.012
fib_recursive gen 11 888 0.012
asdl_generated gen 11 368 0.029
parse gen 25 763 0.033
scoped_resource gen 44 1,036 0.043
containers gen 8 114 0.066
tuple_return_value gen 12 180 0.067
files gen 7 67 0.109
length gen 40 202 0.199
classes gen 4 16 0.231
cartesian gen 91 347 0.262
escape gen 110 344 0.320
varargs gen 4 12 0.345
cgi gen 250 504 0.496
control_flow gen 206 109 1.889

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 4.6 10.7 0.43
parse gen 3.8 7.6 0.50
gc_stack_roots gen 3.5 6.9 0.51
cgi gen 3.7 6.9 0.53
escape gen 3.7 6.9 0.53
fib_recursive gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
tuple_return_value gen 3.7 6.9 0.53
cartesian gen 3.8 7.1 0.54
loops gen 3.8 7.1 0.54
modules gen 3.8 7.1 0.54
scoped_resource gen 3.8 7.1 0.54
fib_iter gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
asdl_generated gen 3.8 6.8 0.56
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 12 0.000
cartesian gen 0 8 0.000
classes gen 0 16 0.000
escape gen 0 8 0.000
fib_iter gen 0 4 0.000
fib_recursive gen 0 4 0.000
files gen 0 8 0.000
loops gen 0 4 0.000
modules gen 0 4 0.000
containers gen 8 20 0.383
gc_stack_roots gen 2 4 0.451
parse gen 4 8 0.519
tuple_return_value gen 8 12 0.668
length gen 4 4 0.993
control_flow gen 4 4 1.000
scoped_resource gen 4 4 1.002
cgi gen 4 4 1.007
varargs gen 62 60 1.034

raw benchmark files