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 19 0.000
fib_iter 4 910 0.004
modules 2 175 0.010
fib_recursive 11 903 0.012
loops 4 292 0.013
asdl_generated 11 383 0.028
parse 22 755 0.030
containers 4 125 0.031
scoped_resource 44 1,034 0.042
tuple_return_value 16 192 0.084
files 8 68 0.111
length 39 201 0.195
cartesian 90 326 0.277
escape 102 348 0.292
cgi 247 504 0.490
varargs 20 12 1.622
control_flow 212 110 1.919

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 4.6 10.6 0.43
parse 3.9 7.7 0.51
escape 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
fib_iter 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
tuple_return_value 3.8 7.1 0.54
cartesian 3.7 6.8 0.54
files 3.8 6.9 0.55
length 3.8 6.9 0.55
loops 3.8 6.9 0.55
modules 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
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
cartesian 0 4 0.000
control_flow 0 8 0.000
fib_recursive 0 12 0.000
files 0 8 0.000
loops 0 8 0.000
modules 0 8 0.000
classes 3 12 0.282
scoped_resource 4 12 0.331
escape 4 8 0.508
parse 7 12 0.622
cgi 8 12 0.664
varargs 47 60 0.778
containers 11 12 0.948
length 8 8 0.974
fib_iter 4 0 inf
tuple_return_value 4 0 inf
asdl_generated 0 0 NA

raw benchmark files