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
modules 0 292 0.000
varargs 0 8 0.000
fib_iter 4 1,171 0.003
fib_recursive 9 1,394 0.007
loops 4 475 0.008
scoped_resource 9 1,050 0.009
asdl_generated 32 640 0.050
containers 11 176 0.062
parse 81 1,295 0.062
classes 4 31 0.117
iterators 1 9 0.120
tuple_return_value 47 300 0.156
files 15 88 0.167
strings 1 4 0.275
cgi 260 877 0.296
length 128 331 0.387
classes_gc 2 4 0.431
cartesian 226 523 0.433
escape 223 514 0.435
control_flow 324 178 1.816
arith_ops 1 0 inf

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 4.6 11.6 0.40
classes_gc 4.1 9.9 0.41
fib_iter 3.4 7.5 0.45
varargs 3.5 7.7 0.46
scoped_resource 3.5 7.7 0.46
loops 3.7 7.9 0.46
parse 3.8 8.1 0.47
cgi 3.5 7.5 0.47
modules 3.6 7.6 0.47
arith_ops 3.6 7.7 0.47
control_flow 3.7 7.8 0.47
iterators 3.6 7.7 0.47
cartesian 3.6 7.6 0.48
strings 3.7 7.7 0.48
asdl_generated 3.7 7.7 0.48
length 3.7 7.7 0.48
escape 3.6 7.5 0.48
files 3.7 7.7 0.48
fib_recursive 3.7 7.5 0.49
tuple_return_value 3.7 7.5 0.50
containers 28.0 48.2 0.58

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
arith_ops 0 9 0.000
classes_gc 0 9 0.000
control_flow 0 4 0.000
files 0 4 0.000
loops 0 4 0.000
parse 0 8 0.000
scoped_resource 0 8 0.000
strings 0 8 0.000
containers 4 12 0.301
fib_recursive 3 4 0.779
fib_iter 4 4 0.883
varargs 11 4 2.964
modules 1 0 inf
asdl_generated 0 0 NA
cartesian 0 0 NA
cgi 0 0 NA
classes 0 0 NA
escape 0 0 NA
iterators 0 0 NA
length 0 0 NA
tuple_return_value 0 0 NA

raw benchmark files