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
classes gen 0 23 0.000
loops gen 0 296 0.000
fib_iter gen 8 1,053 0.007
fib_recursive gen 7 884 0.008
modules gen 2 179 0.010
asdl_generated gen 11 385 0.028
parse gen 29 776 0.038
scoped_resource gen 43 1,036 0.042
tuple_return_value gen 16 182 0.088
containers gen 12 103 0.113
files gen 8 64 0.120
length gen 41 197 0.210
gc_stack_roots gen 2 8 0.218
cartesian gen 71 322 0.221
escape gen 95 358 0.265
cgi gen 261 507 0.515
control_flow gen 211 110 1.924
varargs gen 35 12 2.905

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 10.7 0.41
gc_stack_roots gen 3.4 6.9 0.49
escape gen 3.5 7.1 0.50
parse gen 3.8 7.6 0.50
asdl_generated gen 3.5 6.9 0.51
modules gen 3.5 6.9 0.51
loops gen 3.8 7.2 0.53
cartesian gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
control_flow 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
fib_recursive gen 3.8 6.9 0.55
files gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
containers gen 28.6 47.7 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
cgi gen 0 12 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 12 0.000
files gen 0 12 0.000
gc_stack_roots gen 0 4 0.000
modules gen 0 8 0.000
parse gen 0 8 0.000
containers gen 4 32 0.123
length gen 4 12 0.318
scoped_resource gen 4 12 0.326
classes gen 3 8 0.417
tuple_return_value gen 4 8 0.497
varargs gen 31 60 0.516
loops gen 4 4 0.913
cartesian gen 20 12 1.654
escape gen 12 0 inf
fib_recursive gen 4 0 inf

raw benchmark files