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 22 0.000
loops 0 287 0.000
fib_iter 4 932 0.004
modules 2 170 0.011
fib_recursive 11 885 0.012
asdl_generated 11 381 0.028
containers 4 116 0.034
parse 30 761 0.039
scoped_resource 48 1,087 0.044
tuple_return_value 12 185 0.067
files 8 70 0.111
length 40 198 0.202
cartesian 82 332 0.248
escape 104 344 0.303
cgi 262 516 0.508
control_flow 208 106 1.959
varargs 24 0 inf

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
parse 3.8 7.6 0.50
modules 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
fib_iter 3.7 6.9 0.53
length 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
loops 3.8 7.1 0.54
escape 3.7 6.8 0.54
control_flow 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
cgi 3.8 6.8 0.56
files 3.9 6.9 0.57
containers 28.7 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
control_flow 0 8 0.000
files 0 8 0.000
modules 0 12 0.000
parse 0 8 0.000
scoped_resource 0 12 0.000
loops 4 12 0.319
length 4 12 0.336
classes 3 9 0.373
containers 12 24 0.493
varargs 44 72 0.606
cartesian 8 12 0.655
escape 8 8 1.004
tuple_return_value 8 8 1.047
cgi 12 8 1.489
fib_iter 4 0 inf
asdl_generated 0 0 NA
fib_recursive 0 0 NA

raw benchmark files