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 0 179 0.000
fib_iter 8 891 0.008
fib_recursive 11 900 0.012
loops 4 296 0.012
asdl_generated 11 385 0.028
containers 4 110 0.035
parse 29 770 0.038
scoped_resource 44 1,047 0.042
tuple_return_value 16 185 0.087
files 8 66 0.116
length 41 207 0.198
classes 3 12 0.280
cartesian 91 321 0.283
escape 102 352 0.291
varargs 16 32 0.487
cgi 269 520 0.518
control_flow 210 106 1.981

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 7.5 0.51
cartesian 3.5 6.9 0.51
escape 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
files 3.7 6.9 0.53
modules 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
cgi 3.8 6.9 0.55
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
loops 3.9 7.1 0.56
containers 28.5 47.8 0.59
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cartesian 0 8 0.000
classes 0 19 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
files 0 12 0.000
parse 0 8 0.000
scoped_resource 4 12 0.331
modules 2 4 0.451
containers 11 24 0.483
escape 4 8 0.492
tuple_return_value 4 8 0.509
length 4 4 0.935
varargs 51 41 1.267
asdl_generated 0 0 NA
cgi 0 0 NA
fib_recursive 0 0 NA
loops 0 0 NA

raw benchmark files