a header only SIMD optimized dual pivot (quick)sort implementation for int, float and double primitives.
speedup for sorting 1 Mio random values againt std::sort on a MacBook Pro is 4.6x (int), 3.2x (float), 2.6x (double).
#include "vector_sort.hpp"
std::vector<double> a = {3,2,6,1,5,4};
vector_sort::sort(a);
float[6] b = {3,2,6,1,5,4};
vector_sort::sort(b);The code is highly optimized for intel specific register instructions (AVX2) to vectorize the partitioning process (it's like doing multiprocessing on a single core)
If no AVX2 intrinsics are available, it falls back to std::sort.
a dual privot sorting is just like a quicksort but with three instead of two partitions. it shows up to 20% more performance than standard quicksort.
the algorithm uses a memory allocation overhead of double the size of the original data.
it only works for alligned data like std::vector or pure arrays.
it may need the flag -march=native to compile and the flag -Ofast to get all the boost.