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 0 175 0.000
fib_iter 8 892 0.008
fib_recursive 11 892 0.012
loops 4 300 0.013
asdl_generated 11 381 0.029
parse 22 762 0.029
containers 4 125 0.032
scoped_resource 48 1,084 0.044
files 8 77 0.099
tuple_return_value 20 182 0.111
classes 4 23 0.150
length 45 207 0.216
cartesian 77 334 0.232
varargs 8 28 0.297
escape 115 342 0.336
cgi 269 522 0.515
control_flow 211 111 1.900

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
escape 3.5 7.1 0.50
parse 3.8 7.6 0.50
scoped_resource 3.5 7.1 0.50
cgi 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
modules 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
loops 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
containers 28.7 47.7 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 8 0.000
classes 0 8 0.000
control_flow 0 4 0.000
escape 0 12 0.000
fib_iter 0 8 0.000
fib_recursive 0 12 0.000
length 0 4 0.000
loops 0 8 0.000
scoped_resource 0 4 0.000
tuple_return_value 0 12 0.000
modules 2 8 0.222
containers 12 12 0.990
varargs 58 44 1.323
parse 7 4 1.855
cartesian 12 4 2.924
files 0 0 NA

raw benchmark files