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
classes 0 16 0.000
fib_iter 4 907 0.004
modules 2 183 0.010
fib_recursive 11 903 0.012
loops 4 297 0.013
asdl_generated 7 378 0.019
containers 4 128 0.030
parse 26 753 0.034
scoped_resource 44 1,036 0.042
files 4 69 0.054
tuple_return_value 20 194 0.103
length 44 208 0.213
cartesian 79 323 0.243
escape 107 354 0.303
cgi 243 505 0.481
varargs 25 32 0.769
control_flow 206 112 1.843

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 10.8 0.41
parse 3.8 7.7 0.49
cgi 3.5 7.1 0.50
cartesian 3.5 6.9 0.51
fib_recursive 3.7 7.1 0.52
loops 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
fib_iter 3.8 7.1 0.54
asdl_generated 3.8 6.9 0.55
control_flow 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
escape 3.8 6.8 0.56
containers 28.6 47.6 0.60
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
escape 0 4 0.000
fib_recursive 0 4 0.000
loops 0 4 0.000
modules 0 8 0.000
classes 3 16 0.206
parse 4 12 0.304
asdl_generated 4 8 0.462
fib_iter 4 8 0.480
files 4 8 0.488
scoped_resource 4 8 0.495
containers 11 12 0.957
cartesian 12 12 0.986
control_flow 4 4 0.992
varargs 41 40 1.026
cgi 8 4 1.989
length 0 0 NA
tuple_return_value 0 0 NA

raw benchmark files