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added insertion sort and regression test
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2 changed files with 70 additions and 101 deletions
119
sort.hh
119
sort.hh
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@ -6,107 +6,32 @@ Copyright 2024 Ahmet Inan <inan@aicodix.de>
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#pragma once
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#include <algorithm>
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template <int WIDTH>
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static inline SIMD<uint32_t, WIDTH> vorder(SIMD<float, WIDTH> a)
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template <typename TYPE, int WIDTH>
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static inline SIMD<typename SIMD<TYPE, WIDTH>::uint_type, WIDTH> vorder(SIMD<TYPE, WIDTH> a)
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{
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SIMD<uint32_t, WIDTH> tmp;
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for (int i = 0; i < WIDTH; ++i)
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tmp.v[i] = i;
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std::stable_sort(tmp.v, tmp.v+WIDTH, [a](int i, int j){ return a.v[i] < a.v[j]; });
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return tmp;
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SIMD<typename SIMD<TYPE, WIDTH>::uint_type, WIDTH> p;
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p.v[0] = 0;
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for (int i = 1, j; i < WIDTH; ++i) {
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TYPE t = a.v[i];
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for (j = i; j > 0 && a.v[j-1] > t; --j) {
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a.v[j] = a.v[j-1];
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p.v[j] = p.v[j-1];
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}
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a.v[j] = t;
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p.v[j] = i;
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}
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return p;
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}
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template <int WIDTH>
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static inline SIMD<uint64_t, WIDTH> vorder(SIMD<double, WIDTH> a)
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template <typename TYPE, int WIDTH>
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static inline SIMD<TYPE, WIDTH> vsort(SIMD<TYPE, WIDTH> a)
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{
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SIMD<uint64_t, WIDTH> tmp;
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for (int i = 0; i < WIDTH; ++i)
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tmp.v[i] = i;
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std::stable_sort(tmp.v, tmp.v+WIDTH, [a](int i, int j){ return a.v[i] < a.v[j]; });
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return tmp;
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}
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template <int WIDTH>
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static inline SIMD<uint8_t, WIDTH> vorder(SIMD<int8_t, WIDTH> a)
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{
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SIMD<uint8_t, WIDTH> tmp;
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for (int i = 0; i < WIDTH; ++i)
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tmp.v[i] = i;
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std::stable_sort(tmp.v, tmp.v+WIDTH, [a](int i, int j){ return a.v[i] < a.v[j]; });
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return tmp;
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}
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template <int WIDTH>
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static inline SIMD<uint16_t, WIDTH> vorder(SIMD<int16_t, WIDTH> a)
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{
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SIMD<uint16_t, WIDTH> tmp;
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for (int i = 0; i < WIDTH; ++i)
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tmp.v[i] = i;
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std::stable_sort(tmp.v, tmp.v+WIDTH, [a](int i, int j){ return a.v[i] < a.v[j]; });
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return tmp;
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}
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template <int WIDTH>
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static inline SIMD<uint32_t, WIDTH> vorder(SIMD<int32_t, WIDTH> a)
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{
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SIMD<uint32_t, WIDTH> tmp;
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for (int i = 0; i < WIDTH; ++i)
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tmp.v[i] = i;
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std::stable_sort(tmp.v, tmp.v+WIDTH, [a](int i, int j){ return a.v[i] < a.v[j]; });
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return tmp;
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}
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template <int WIDTH>
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static inline SIMD<uint64_t, WIDTH> vorder(SIMD<int64_t, WIDTH> a)
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{
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SIMD<uint64_t, WIDTH> tmp;
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for (int i = 0; i < WIDTH; ++i)
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tmp.v[i] = i;
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std::stable_sort(tmp.v, tmp.v+WIDTH, [a](int i, int j){ return a.v[i] < a.v[j]; });
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return tmp;
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}
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template <int WIDTH>
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static inline SIMD<float, WIDTH> vsort(SIMD<float, WIDTH> a)
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{
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std::sort(a.v, a.v+WIDTH);
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return a;
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}
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template <int WIDTH>
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static inline SIMD<double, WIDTH> vsort(SIMD<double, WIDTH> a)
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{
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std::sort(a.v, a.v+WIDTH);
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return a;
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}
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template <int WIDTH>
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static inline SIMD<int8_t, WIDTH> vsort(SIMD<int8_t, WIDTH> a)
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{
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std::sort(a.v, a.v+WIDTH);
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return a;
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}
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template <int WIDTH>
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static inline SIMD<int16_t, WIDTH> vsort(SIMD<int16_t, WIDTH> a)
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{
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std::sort(a.v, a.v+WIDTH);
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return a;
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}
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template <int WIDTH>
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static inline SIMD<int32_t, WIDTH> vsort(SIMD<int32_t, WIDTH> a)
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{
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std::sort(a.v, a.v+WIDTH);
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return a;
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}
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template <int WIDTH>
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static inline SIMD<int64_t, WIDTH> vsort(SIMD<int64_t, WIDTH> a)
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{
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std::sort(a.v, a.v+WIDTH);
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for (int i = 1, j; i < WIDTH; ++i) {
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TYPE t = a.v[i];
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for (j = i; j > 0 && a.v[j-1] > t; --j)
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a.v[j] = a.v[j-1];
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a.v[j] = t;
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}
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return a;
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}
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44
tests/sort_regression_test.cc
Normal file
44
tests/sort_regression_test.cc
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@ -0,0 +1,44 @@
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/*
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Regression Test for the SIMD wrappers sort
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Copyright 2024 Ahmet Inan <inan@aicodix.de>
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*/
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#include <random>
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#include <cassert>
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#include <iostream>
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#include <algorithm>
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#include <functional>
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#include "simd.hh"
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#include "sort.hh"
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int main()
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{
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const int WIDTH = 32;
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typedef int32_t TYPE;
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typedef SIMD<TYPE, WIDTH>::uint_type UINT;
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std::random_device rd;
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typedef std::default_random_engine generator;
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typedef std::uniform_int_distribution<int> distribution;
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auto rand = std::bind(distribution(0, WIDTH), generator(rd()));
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for (int loop = 0; loop < 1000000; ++loop) {
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SIMD<TYPE, WIDTH> a, b, c;
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for (int i = 0; i < WIDTH; ++i)
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a.v[i] = rand();
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b = vsort(a);
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c = a;
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std::sort(c.v, c.v+WIDTH);
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for (int i = 0; i < WIDTH; ++i)
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assert(b.v[i] == c.v[i]);
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SIMD<UINT, WIDTH> d, e;
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d = vorder(a);
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for (int i = 0; i < WIDTH; ++i)
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e.v[i] = i;
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std::stable_sort(e.v, e.v+WIDTH, [a](int i, int j){ return a.v[i] < a.v[j]; });
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for (int i = 0; i < WIDTH; ++i)
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assert(d.v[i] == e.v[i]);
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}
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std::cerr << "Sort regression test passed!" << std::endl;
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return 0;
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}
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