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
varargs 0 17 0.000
modules 1 131 0.008
fib_iter 5 634 0.008
fib_recursive 7 625 0.012
scoped_resource 7 570 0.012
loops 4 207 0.020
asdl_generated 8 263 0.032
parse 20 557 0.035
containers 7 85 0.082
files 5 52 0.088
classes 2 19 0.100
tuple_return_value 14 136 0.104
length 27 146 0.182
cartesian 57 236 0.243
escape 73 251 0.291
cgi 182 363 0.499
control_flow 141 79 1.783

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 4.7 11.0 0.42
parse 3.9 7.7 0.50
cartesian 3.7 7.1 0.52
cgi 3.7 7.1 0.52
escape 3.7 7.1 0.52
modules 3.8 7.2 0.53
loops 3.9 7.4 0.53
scoped_resource 3.7 7.1 0.53
length 3.8 7.1 0.53
fib_recursive 3.8 7.1 0.53
asdl_generated 3.8 7.0 0.53
tuple_return_value 3.8 7.1 0.54
files 3.8 7.1 0.54
fib_iter 3.8 7.0 0.54
control_flow 3.9 7.1 0.55
containers 28.5 47.8 0.60
varargs 5.6 7.1 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
parse 0 4 0.000
containers 3 12 0.288
cartesian 4 4 0.954
cgi 4 4 1.010
varargs 26 12 2.112
control_flow 4 0 inf
length 4 0 inf
classes 0 0 NA
escape 0 0 NA
files 0 0 NA
loops 0 0 NA
modules 0 0 NA
scoped_resource 0 0 NA
tuple_return_value 0 0 NA

raw benchmark files