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 4 895 0.004
loops 4 299 0.012
fib_recursive 11 886 0.012
asdl_generated 11 373 0.030
parse 29 759 0.039
scoped_resource 44 1,056 0.041
containers 8 112 0.072
files 8 72 0.107
tuple_return_value 20 182 0.111
classes 3 24 0.132
length 45 207 0.217
cartesian 87 327 0.265
escape 108 346 0.311
cgi 248 512 0.484
varargs 25 20 1.233
control_flow 211 109 1.928

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
cartesian 3.5 6.9 0.51
asdl_generated 3.4 6.7 0.51
cgi 3.7 7.1 0.52
tuple_return_value 3.7 7.1 0.52
modules 3.7 6.9 0.53
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
containers 28.5 47.8 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 16 0.000
classes 0 8 0.000
control_flow 0 4 0.000
escape 0 8 0.000
fib_recursive 0 12 0.000
files 0 4 0.000
length 0 4 0.000
loops 0 4 0.000
parse 0 8 0.000
tuple_return_value 0 12 0.000
cartesian 4 12 0.329
containers 8 24 0.335
modules 2 4 0.460
fib_iter 4 8 0.488
varargs 41 52 0.790
scoped_resource 4 4 0.990
cgi 4 4 1.000

raw benchmark files