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
loops 0 297 0.000
fib_iter 8 893 0.008
asdl_generated 4 395 0.009
modules 2 175 0.010
fib_recursive 11 871 0.012
parse 30 777 0.038
scoped_resource 47 1,042 0.045
containers 10 114 0.089
files 8 73 0.103
tuple_return_value 20 192 0.105
classes 3 23 0.140
length 37 203 0.181
cartesian 91 332 0.275
escape 94 343 0.275
cgi 270 507 0.534
varargs 21 36 0.571
control_flow 205 111 1.847

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 4.2 10.7 0.39
parse 3.8 7.6 0.50
modules 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
loops 3.8 7.2 0.53
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
files 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
containers 28.5 47.7 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cartesian 0 8 0.000
cgi 0 8 0.000
classes 0 8 0.000
fib_iter 0 4 0.000
fib_recursive 0 12 0.000
files 0 4 0.000
modules 0 8 0.000
parse 0 8 0.000
containers 5 20 0.258
loops 4 8 0.463
length 7 8 0.924
control_flow 4 4 1.014
varargs 45 36 1.257
escape 12 8 1.542
asdl_generated 7 4 1.798
scoped_resource 0 0 NA
tuple_return_value 0 0 NA

raw benchmark files