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 0 285 0.000
fib_iter 8 899 0.008
modules 2 183 0.010
fib_recursive 11 911 0.012
asdl_generated 11 375 0.029
parse 25 764 0.033
tuple_return_value 7 189 0.036
scoped_resource 47 1,052 0.044
containers 10 116 0.088
files 8 68 0.110
classes 3 22 0.148
length 45 205 0.218
cartesian 86 329 0.262
escape 96 347 0.278
cgi 280 513 0.546
varargs 23 16 1.444
control_flow 207 111 1.861

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 4.5 10.7 0.41
cartesian 3.5 6.9 0.51
parse 3.9 7.6 0.52
escape 3.7 7.1 0.52
loops 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
files 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
tuple_return_value 3.7 6.8 0.54
fib_iter 3.8 6.9 0.55
modules 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
length 3.9 6.9 0.57
containers 28.6 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
cgi 0 4 0.000
classes 0 9 0.000
files 0 8 0.000
length 0 4 0.000
modules 0 4 0.000
scoped_resource 0 4 0.000
containers 5 20 0.257
loops 4 12 0.300
cartesian 4 12 0.330
parse 4 8 0.523
varargs 43 57 0.756
control_flow 4 4 1.002
escape 12 4 2.984
tuple_return_value 13 4 3.343
fib_iter 0 0 NA
fib_recursive 0 0 NA

raw benchmark files