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 23 0.000
fib_iter 8 886 0.008
modules 2 182 0.010
fib_recursive 11 875 0.012
loops 4 289 0.013
asdl_generated 7 370 0.020
parse 26 778 0.033
containers 4 104 0.037
scoped_resource 43 1,048 0.041
files 4 73 0.053
tuple_return_value 20 189 0.107
length 44 207 0.213
cartesian 87 334 0.259
escape 99 342 0.290
cgi 265 521 0.509
varargs 23 19 1.238
control_flow 208 114 1.819

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 7.7 0.49
length 3.5 6.9 0.51
cartesian 3.7 7.1 0.52
cgi 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
escape 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
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
files 3.8 6.9 0.55
modules 3.8 6.8 0.56
containers 28.5 47.8 0.60
varargs 5.4 7.1 0.76

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
loops 0 8 0.000
modules 0 8 0.000
tuple_return_value 0 4 0.000
containers 12 28 0.410
classes 3 8 0.427
asdl_generated 4 8 0.449
parse 4 8 0.462
scoped_resource 4 8 0.487
cartesian 4 8 0.489
varargs 43 53 0.811
escape 8 8 0.999
files 4 4 1.002
cgi 0 0 NA
control_flow 0 0 NA
length 0 0 NA

raw benchmark files