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
containers 0 80 0.000
files 0 53 0.000
fib_iter 5 647 0.008
modules 1 130 0.008
fib_recursive 7 620 0.012
loops 3 207 0.012
scoped_resource 7 542 0.012
asdl_generated 7 265 0.027
parse 23 624 0.037
tuple_return_value 13 130 0.103
classes 3 18 0.153
length 30 145 0.205
cartesian 60 237 0.253
escape 69 251 0.275
cgi 184 357 0.517
varargs 20 8 2.418
control_flow 281 78 3.605

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 10.9 0.42
parse 3.9 7.7 0.50
loops 3.8 7.4 0.51
scoped_resource 3.7 7.2 0.52
cgi 3.7 7.1 0.52
escape 3.7 7.1 0.52
cartesian 3.7 7.1 0.52
modules 3.8 7.1 0.53
fib_iter 3.8 7.1 0.53
files 3.8 7.1 0.54
tuple_return_value 3.8 7.1 0.54
asdl_generated 3.8 7.1 0.54
fib_recursive 3.9 7.1 0.54
length 3.9 7.2 0.55
control_flow 4.0 7.0 0.57
containers 28.5 47.8 0.60
varargs 5.6 7.1 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
cgi 0 4 0.000
loops 0 4 0.000
parse 0 4 0.000
tuple_return_value 0 8 0.000
containers 10 12 0.865
cartesian 4 4 1.010
control_flow 4 4 1.030
varargs 28 21 1.354
escape 4 0 inf
files 5 0 inf
classes 0 0 NA
fib_iter 0 0 NA
fib_recursive 0 0 NA
length 0 0 NA
modules 0 0 NA
scoped_resource 0 0 NA

raw benchmark files