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 26 0.000
loops 0 288 0.000
modules 0 178 0.000
fib_iter 4 892 0.004
fib_recursive 11 877 0.012
asdl_generated 7 374 0.019
parse 25 822 0.031
containers 4 110 0.035
scoped_resource 47 1,013 0.046
tuple_return_value 13 188 0.071
files 7 72 0.102
length 37 199 0.185
escape 106 400 0.265
cartesian 90 323 0.279
cgi 265 507 0.522
varargs 19 24 0.807
control_flow 210 108 1.947

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 10.6 0.42
parse 3.8 7.6 0.50
cgi 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
escape 3.7 6.9 0.53
length 3.7 6.9 0.53
modules 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
tuple_return_value 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
control_flow 3.9 7.1 0.56
loops 3.9 7.1 0.56
containers 28.6 47.8 0.60
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cartesian 0 8 0.000
escape 0 8 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
scoped_resource 0 8 0.000
modules 2 8 0.224
loops 4 12 0.304
asdl_generated 4 8 0.458
containers 12 24 0.491
cgi 4 8 0.503
control_flow 4 8 0.509
parse 4 8 0.529
classes 3 4 0.743
length 7 8 0.923
fib_iter 4 4 0.943
varargs 47 48 0.968
tuple_return_value 7 4 1.668

raw benchmark files