ndBenchmarks #1: ndslice.algorithm vs std.numeric vs std.algorithm

[Ilya Yaroshenko via Digitalmars-d-announce]

The tests above are for double precision floating point numbers. 
The results for single precision are below.

Dot Product (single precision):

        ndReduce vectorized = 2 ms, 200 μs
                   ndReduce = 14 ms, 543 μs
numeric.dotProduct, arrays = 7 ms, 208 μs
numeric.dotProduct, slices = 14 ms, 414 μs
               zip & reduce = 43 ms, 657 μs

Euclidean Distance (single precisoin):

                 ndReduce vectorized = 2 ms, 226 μs
                            ndReduce = 14 ms, 661 μs
   numeric.euclideanDistance, arrays = 14 ms, 597 μs
   numeric.euclideanDistance, slices = 14 ms, 581 μs
                        zip & reduce = 46 ms, 759 μs