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 24 0.000
fib_recursive 7 954 0.008
fib_iter 8 890 0.009
modules 2 188 0.011
loops 4 296 0.013
asdl_generated 7 366 0.020
parse 30 762 0.039
scoped_resource 44 1,031 0.042
containers 12 109 0.107
files 8 70 0.110
tuple_return_value 20 183 0.110
length 41 200 0.203
cartesian 84 328 0.256
escape 99 347 0.286
cgi 249 503 0.495
control_flow 201 106 1.894
varargs 28 8 3.631

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 10.8 0.43
parse 3.8 7.6 0.50
loops 3.7 7.2 0.51
cartesian 3.7 7.1 0.52
escape 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
fib_iter 3.7 6.8 0.54
length 3.8 6.9 0.55
modules 3.9 7.1 0.56
files 3.8 6.8 0.56
control_flow 3.9 6.9 0.57
fib_recursive 3.9 6.9 0.57
containers 28.7 48.0 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
fib_iter 0 4 0.000
files 0 8 0.000
loops 0 8 0.000
modules 0 8 0.000
parse 0 8 0.000
tuple_return_value 0 8 0.000
containers 4 28 0.137
asdl_generated 4 12 0.296
cgi 4 12 0.335
length 4 12 0.339
classes 3 8 0.418
fib_recursive 4 8 0.454
scoped_resource 4 8 0.498
varargs 39 64 0.610
control_flow 8 8 1.003
escape 8 4 1.991
cartesian 8 4 1.997

raw benchmark files