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
loops 0 292 0.000
fib_iter 8 890 0.009
modules 2 189 0.010
fib_recursive 11 890 0.012
parse 21 805 0.026
asdl_generated 11 379 0.029
scoped_resource 47 1,042 0.045
containers 8 103 0.075
files 8 75 0.100
tuple_return_value 20 192 0.107
length 40 204 0.197
cartesian 83 324 0.256
escape 103 366 0.281
classes 3 12 0.293
cgi 266 515 0.517
varargs 16 24 0.650
control_flow 207 108 1.907

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
asdl_generated 3.5 6.9 0.51
cartesian 3.7 7.1 0.52
escape 3.7 7.1 0.52
loops 3.7 7.1 0.52
modules 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
cgi 3.7 6.8 0.54
control_flow 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
tuple_return_value 3.8 6.9 0.55
fib_iter 3.9 6.9 0.57
containers 28.5 47.8 0.60
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
classes 0 19 0.000
control_flow 0 4 0.000
fib_iter 0 8 0.000
modules 0 4 0.000
scoped_resource 0 4 0.000
tuple_return_value 0 8 0.000
containers 8 32 0.245
cgi 4 8 0.497
escape 4 8 0.517
length 4 4 1.003
loops 4 4 1.028
varargs 51 48 1.056
cartesian 8 4 1.974
parse 8 4 2.087
fib_recursive 0 0 NA
files 0 0 NA

raw benchmark files