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 0 171 0.000
fib_recursive 7 881 0.008
fib_iter 8 899 0.008
loops 4 290 0.013
asdl_generated 11 370 0.029
parse 29 770 0.038
scoped_resource 40 1,034 0.038
containers 12 127 0.093
tuple_return_value 20 192 0.105
files 8 67 0.111
classes 3 19 0.169
length 36 194 0.186
cartesian 78 323 0.243
escape 98 354 0.276
varargs 8 16 0.487
cgi 249 506 0.493
control_flow 211 110 1.923

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 10.9 0.41
parse 3.8 7.6 0.50
fib_iter 3.5 6.9 0.51
fib_recursive 3.5 6.9 0.51
loops 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
length 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.6 47.8 0.60
varargs 5.5 6.8 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 12 0.000
classes 0 11 0.000
control_flow 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
tuple_return_value 0 4 0.000
modules 2 12 0.147
containers 4 8 0.493
length 8 16 0.506
fib_recursive 4 4 0.889
cgi 8 8 0.993
varargs 59 56 1.044
cartesian 12 8 1.554
escape 8 4 2.044
scoped_resource 8 0 inf

raw benchmark files