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 0 180 0.000
fib_iter 8 1,043 0.007
fib_recursive 7 904 0.008
loops 4 306 0.012
asdl_generated 7 381 0.019
parse 30 771 0.038
scoped_resource 47 1,034 0.045
tuple_return_value 13 191 0.071
containers 8 97 0.080
files 7 68 0.111
classes 3 19 0.170
length 38 203 0.185
cartesian 91 351 0.260
escape 107 352 0.303
cgi 250 511 0.489
varargs 15 28 0.562
control_flow 206 105 1.960

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 10.6 0.42
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
modules 3.7 7.1 0.52
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
control_flow 3.8 7.1 0.54
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
asdl_generated 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
containers 28.5 47.8 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cartesian 0 4 0.000
classes 0 11 0.000
escape 0 4 0.000
fib_iter 0 4 0.000
files 0 8 0.000
loops 0 4 0.000
parse 0 8 0.000
scoped_resource 0 8 0.000
containers 8 36 0.213
control_flow 4 12 0.339
modules 2 4 0.453
asdl_generated 4 4 0.909
length 8 8 0.946
cgi 4 4 1.003
varargs 50 43 1.163
fib_recursive 4 0 inf
tuple_return_value 7 0 inf

raw benchmark files