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 32 0.000
containers 0 120 0.000
fib_recursive 7 873 0.008
fib_iter 8 897 0.009
asdl_generated 4 380 0.010
modules 2 176 0.010
loops 4 295 0.013
parse 30 795 0.038
scoped_resource 43 1,035 0.042
files 7 69 0.108
tuple_return_value 20 183 0.110
length 44 202 0.219
cartesian 83 332 0.249
escape 99 351 0.283
cgi 262 516 0.508
varargs 25 15 1.615
control_flow 207 114 1.814

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 4.3 10.6 0.41
asdl_generated 3.5 7.1 0.50
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
loops 3.8 7.2 0.53
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
files 3.8 7.1 0.54
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.5 47.8 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
fib_iter 0 4 0.000
files 0 8 0.000
length 0 12 0.000
loops 0 4 0.000
modules 0 8 0.000
parse 0 4 0.000
tuple_return_value 0 12 0.000
fib_recursive 4 12 0.302
control_flow 4 8 0.488
scoped_resource 4 8 0.489
containers 16 32 0.496
varargs 41 58 0.718
asdl_generated 8 8 0.944
cartesian 8 4 1.971
cgi 8 4 1.984
escape 8 4 1.992
classes 3 0 inf

raw benchmark files