フラックスソートで配列を並び替える
フラックスソートを使用する
フラックスソート (fluxsort) は、クイックソート型の上方向き分割と、マージソート型の補助メモリ上での仕上げを組み合わせた、安定かつ適応的な比較ソートである。
分岐予測ミスを抑える分割や、整列済み度合いを見るアナライザが特徴である。本記事の実装は簡略化しており、小区間の quadsort の代わりに挿入ソート/マージソートを用いる。
- アナライザ: 全体が昇順なら何もしない。厳密な降順なら反転して終了する。4 分割した各区間の隣接昇順ペアが半数超なら、その区間をマージソートで仕上げる。
- ピボット選択: 区間をほぼ等間隔に 9 点取り、3 組の三点中央値の中央値(準中央値)をピボットにする。
- 安定な二重書き込み分割: 要素を先頭から走査し、
≤ ピボットを配列前方へ、> ピボットを後方へ、出現順を保ったまま書き分ける(本番の fluxsort では後者を swap 領域へ書く)。 - 等値の第二走査: 右側が空(すべて
≤ ピボット)なら、< ピボットと= ピボットに分け直し、等値帯を再帰から外す。 - 不均衡フォールバック: 左右の長さ比が 1:16 を超えて偏ったら、両側をマージソートする。
- 小区間: 要素数が閾値未満なら挿入ソートで仕上げる。
procedure flux_stable_partition(A, pivot)
L := empty; R := empty
for each x in A in order
if x ≤ pivot then append x to L else append x to R
A := L concatenated with R
return length(L)
procedure flux_sort_range(A)
if length(A) < INSERTION_THRESHOLD then
insertion_sort(A); return
pivot := quasimedian_of_9(A)
left := flux_stable_partition(A, pivot)
right := length(A) - left
if right = 0 then
move keys < pivot to front, equals after them
flux_sort_range(A[0 .. lt))
return
if left < length(A)/16 or right < length(A)/16 then
merge_sort(A[0 .. left)); merge_sort(A[left .. end)); return
flux_sort_range(A[0 .. left))
flux_sort_range(A[left .. end))
procedure fluxsort(A)
if A is sorted then return
if A is reverse-sorted then reverse(A); return
for each quarter Q of A
if ordered_pairs(Q) > half then merge_sort(Q)
if A is sorted then return
flux_sort_range(A)
最良は整列済み検出により O(n)、平均・最悪は O(n log n) を狙う。補助配列に最大 O(n) を使う安定ソートである。
以下のデモでは視認性のため挿入閾値を 4、不均衡判定を 1/4 に緩めている。
類似アルゴリズムとの相違点
ロムート分割型クイックソートはインプレースで不安定な分割を行う。フラックスソートは補助メモリ(または同等の二重書き込み)で安定分割し、分岐の少ない走査を前提にしている。
パターン撃退クイックソートも悪パターン対策のハイブリッドだが、不安定で補助メモリをほぼ使わない。フラックスソートは安定性を保ったまま分割とマージを行き来する。
マージソートやティムソートは常にマージ中心である。フラックスソートはランダム寄りの入力では分割を主とし、整列度が高い区間や不均衡時だけマージ側へ寄せる。
計算時間量および空間計算量を計測する
| Size | Average time | Maximum time | Average memory | Maximum memory |
|---|---|---|---|---|
| 256 | 0.000008 | 0.000074 | 62 | 68 |
| 512 | 0.000018 | 0.000057 | 62 | 68 |
| 1024 | 0.000036 | 0.000096 | 70 | 76 |
| 2048 | 0.000074 | 0.000169 | 78 | 84 |
| 4096 | 0.000158 | 0.001303 | 94 | 100 |
| 8192 | 0.000337 | 0.001851 | 141 | 148 |
| 16384 | 0.000731 | 0.004769 | 58 | 64 |
| 32768 | 0.001557 | 0.003763 | 108 | 148 |
| 65536 | 0.003316 | 0.005650 | 364 | 404 |
| 131072 | 0.007068 | 0.011157 | 876 | 916 |
| 262144 | 0.015100 | 0.029708 | 1904 | 2052 |
計測に使用したコードを表示する
set -euo pipefail
WORKDIR="$(mktemp -d)"
trap 'rm -rf "$WORKDIR"' EXIT
cat > "$WORKDIR/Dockerfile" <<'EOF'
FROM rust:1.95.0
WORKDIR /app
RUN mkdir -p src
RUN cat > Cargo.toml <<'CARGO'
[package]
name = "rust-benchmark"
version = "0.1.0"
edition = "2021"
[profile.release]
lto = true
codegen-units = 1
panic = "abort"
CARGO
RUN cat > src/main.rs <<'RUST'
use std::{
env,
process::Command,
time::{Duration, Instant},
};
const MIN_POWER: u32 = 8;
const MAX_POWER: u32 = 18;
const RUNS: usize = 8192;
fn insertion_sort(a: &mut [usize]) {
for i in 1..a.len() {
let mut j = i;
while j > 0 && a[j - 1] > a[j] {
a.swap(j - 1, j);
j -= 1;
}
}
}
const FLUX_INSERTION_THRESHOLD: usize = 24;
fn flux_is_sorted(a: &[usize]) -> bool {
a.windows(2).all(|w| w[0] <= w[1])
}
fn flux_is_reverse_sorted(a: &[usize]) -> bool {
a.windows(2).all(|w| w[0] >= w[1])
}
fn flux_reverse(a: &mut [usize]) {
let mut lo = 0;
let mut hi = a.len();
while lo + 1 < hi {
hi -= 1;
a.swap(lo, hi);
lo += 1;
}
}
/// Count ascending adjacent pairs (presortedness measure).
fn flux_ordered_pairs(a: &[usize]) -> usize {
a.windows(2).filter(|w| w[0] <= w[1]).count()
}
fn flux_median3_idx(a: &[usize], i: usize, j: usize, k: usize) -> usize {
let (x, y, z) = (a[i], a[j], a[k]);
if x < y {
if y < z {
j
} else if x < z {
k
} else {
i
}
} else if x < z {
i
} else if y < z {
k
} else {
j
}
}
/// Quasimedian of 9: median of three medians-of-three sampled across the range.
fn flux_quasimedian9(a: &[usize]) -> usize {
let n = a.len();
if n < 9 {
return a[n / 2];
}
let step = n / 8;
let i0 = 0;
let i1 = step;
let i2 = step * 2;
let i3 = step * 3;
let i4 = step * 4;
let i5 = step * 5;
let i6 = step * 6;
let i7 = step * 7;
let i8 = n - 1;
let m0 = flux_median3_idx(a, i0, i1, i2);
let m1 = flux_median3_idx(a, i3, i4, i5);
let m2 = flux_median3_idx(a, i6, i7, i8);
a[flux_median3_idx(a, m0, m1, m2)]
}
fn flux_merge(a: &mut [usize], swap: &mut [usize]) {
let n = a.len();
if n <= 1 {
return;
}
let mid = n / 2;
flux_merge(&mut a[..mid], swap);
flux_merge(&mut a[mid..], swap);
let (left, right) = a.split_at(mid);
let mut i = 0;
let mut j = 0;
let mut k = 0;
while i < left.len() && j < right.len() {
if left[i] <= right[j] {
swap[k] = left[i];
i += 1;
} else {
swap[k] = right[j];
j += 1;
}
k += 1;
}
while i < left.len() {
swap[k] = left[i];
i += 1;
k += 1;
}
while j < right.len() {
swap[k] = right[j];
j += 1;
k += 1;
}
a.copy_from_slice(&swap[..n]);
}
/// Stable dual-destination partition: `≤ pivot` stay toward the front of `a`,
/// `> pivot` are collected after them (educational stand-in for fluxsort’s
/// main/swap split). Returns the length of the left partition.
fn flux_stable_partition(a: &mut [usize], swap: &mut [usize], pivot: usize) -> usize {
let n = a.len();
swap[..n].copy_from_slice(a);
let mut left = 0usize;
for i in 0..n {
if swap[i] <= pivot {
left += 1;
}
}
let mut l = 0usize;
let mut r = left;
for i in 0..n {
let x = swap[i];
if x <= pivot {
a[l] = x;
l += 1;
} else {
a[r] = x;
r += 1;
}
}
left
}
fn flux_partition_sort(a: &mut [usize], swap: &mut [usize]) {
let n = a.len();
if n <= 1 {
return;
}
if n < FLUX_INSERTION_THRESHOLD {
insertion_sort(a);
return;
}
let pivot = flux_quasimedian9(a);
let left = flux_stable_partition(a, swap, pivot);
let right = n - left;
// All keys ≤ pivot: filter equals out so recursion makes progress
// (fluxsort’s “second sweep” for generic / low-cardinality data).
if right == 0 {
swap[..n].copy_from_slice(a);
let mut lt = 0usize;
for i in 0..n {
if swap[i] < pivot {
a[lt] = swap[i];
lt += 1;
}
}
let mut eq = lt;
for i in 0..n {
if swap[i] == pivot {
a[eq] = swap[i];
eq += 1;
}
}
if lt > 1 {
flux_partition_sort(&mut a[..lt], swap);
}
return;
}
// Worst-case guard: one side < 1/16 of the other → mergesort both sides.
let unbalanced = left > 0 && (left < n / 16 || right < n / 16);
if unbalanced {
flux_merge(&mut a[..left], swap);
flux_merge(&mut a[left..], swap);
return;
}
if left > 1 {
flux_partition_sort(&mut a[..left], swap);
}
if right > 1 {
flux_partition_sort(&mut a[left..], swap);
}
}
fn flux_analyze(a: &mut [usize], swap: &mut [usize]) -> bool {
let n = a.len();
if n <= 1 {
return true;
}
if flux_is_sorted(a) {
return true;
}
if flux_is_reverse_sorted(a) {
flux_reverse(a);
return true;
}
// Four-segment presortedness: if more than half the adjacent pairs in a
// segment are ordered, finish that segment with mergesort (stand-in for
// quadsort). Remaining disorder is handled by partitioning afterward.
let q = n / 4;
if q >= 2 {
let bounds = [0, q, q * 2, q * 3, n];
for s in 0..4 {
let lo = bounds[s];
let hi = bounds[s + 1];
if hi - lo < 2 {
continue;
}
let pairs = hi - lo - 1;
if flux_ordered_pairs(&a[lo..hi]) * 2 > pairs {
flux_merge(&mut a[lo..hi], swap);
}
}
if flux_is_sorted(a) {
return true;
}
}
false
}
fn flux_sort(a: &mut [usize]) {
let n = a.len();
if n <= 1 {
return;
}
let mut swap = vec![0usize; n];
if flux_analyze(a, &mut swap) {
return;
}
flux_partition_sort(a, &mut swap);
}
fn benchmark_sort(array: &mut [usize]) {
flux_sort(array);
}
fn is_non_decreasing(a: &[usize]) -> bool {
a.windows(2).all(|w| w[0] <= w[1])
}
fn same_multiset(a: &[usize], b: &[usize]) -> bool {
if a.len() != b.len() {
return false;
}
let mut left = a.to_vec();
let mut right = b.to_vec();
left.sort_unstable();
right.sort_unstable();
left == right
}
fn check_correctness_case(label: &str, mut input: Vec<usize>) {
let original = input.clone();
benchmark_sort(&mut input);
if !is_non_decreasing(&input) {
panic!("correctness case {}: output is not sorted", label);
}
if !same_multiset(&input, &original) {
panic!("correctness case {}: elements were lost or added", label);
}
}
fn few_unique_values(size: usize, unique: usize, seed: u64) -> Vec<usize> {
let mut state = seed;
(0..size)
.map(|_| {
state ^= state << 13;
state ^= state >> 7;
state ^= state << 17;
(state as usize % unique) + 1
})
.collect()
}
fn run_correctness_checks() {
check_correctness_case("empty", vec![]);
check_correctness_case("single", vec![42]);
check_correctness_case("duplicates", vec![3, 1, 3, 2, 1, 2]);
check_correctness_case("sorted", vec![1, 2, 3, 4, 5]);
check_correctness_case("reverse", vec![5, 4, 3, 2, 1]);
check_correctness_case("all_equal", vec![7, 7, 7, 7]);
check_correctness_case("skewed_range", vec![1_000_000, 2, 1_000_001, 1, 999_999]);
// Static-buffer Grail skips the in-buffer build when key collection is sparse
// (ideal_buffer = false). Exercising that path catches regressions in buffer gating.
check_correctness_case(
"few_keys_len16",
vec![2, 2, 2, 2, 2, 2, 2, 2, 4, 3, 1, 2, 3, 4, 1, 4],
);
// Seed 0 is a fixed point of the xorshift below, so it would degenerate into
// yet another all-equal case instead of a 4-value mix. Start at 1.
for seed in 1..=32 {
check_correctness_case(
&format!("few_keys_len32_seed_{seed}"),
few_unique_values(32, 4, seed),
);
}
}
fn shuffled(size: usize, seed: u64) -> Vec<usize> {
let mut v: Vec<usize> = (1..=size).collect();
let mut state = seed;
for i in (1..size).rev() {
state ^= state << 13;
state ^= state >> 7;
state ^= state << 17;
let j = (state as usize) % (i + 1);
v.swap(i, j);
}
v
}
fn memory_usage_kb() -> usize {
// VmHWM (peak RSS, KiB). Reported memory subtracts a per-size baseline that only
// holds the input array, so the table reflects auxiliary space during sorting.
let contents = std::fs::read_to_string("/proc/self/status")
.unwrap_or_default();
for line in contents.lines() {
if let Some(rest) = line.strip_prefix("VmHWM:") {
let kb = rest
.split_whitespace()
.next()
.unwrap_or("0")
.parse::<usize>()
.unwrap_or(0);
return kb;
}
}
0
}
fn micros(d: Duration) -> u128 {
d.as_micros()
}
fn input_array(size: usize, seed: u64) -> Vec<usize> {
shuffled(size, seed)
}
fn run_baseline(size: usize) -> usize {
let _hold = input_array(size, 1);
memory_usage_kb()
}
fn run_once(size: usize, seed: usize) -> (u128, usize) {
let mut array = input_array(size, seed as u64);
let start = Instant::now();
benchmark_sort(&mut array);
let elapsed = start.elapsed();
let mem = memory_usage_kb();
let expected: Vec<usize> = (1..=size).collect();
if array != expected {
panic!(
"sort failed with seed {} for size {}",
seed,
size
);
}
(micros(elapsed), mem)
}
fn run_baseline_child(args: &[String]) {
let size = args[2].parse::<usize>().expect("invalid size");
let mem = run_baseline(size);
println!("{}", mem);
}
fn run_child(args: &[String]) {
let size = args[2].parse::<usize>().expect("invalid size");
let seed = args[3].parse::<usize>().expect("invalid seed");
let (elapsed_us, mem) = run_once(size, seed);
println!("{} {}", elapsed_us, mem);
}
fn main() {
let args: Vec<String> = env::args().collect();
if args.get(1).is_some_and(|arg| arg == "--baseline-once") {
run_baseline_child(&args);
return;
}
if args.get(1).is_some_and(|arg| arg == "--run-once") {
run_child(&args);
return;
}
run_correctness_checks();
println!(
"| {:>10} | {:>15} | {:>15} | {:>15} | {:>15} |",
"Size",
"Average time",
"Maximum time",
"Average memory",
"Maximum memory"
);
println!(
"|{:-<11}:|{:-<16}:|{:-<16}:|{:-<16}:|{:-<16}:|",
"",
"",
"",
"",
""
);
for power in MIN_POWER..=MAX_POWER {
let size = 1usize << power;
let baseline_output = Command::new(env::current_exe().expect("failed to find current executable"))
.arg("--baseline-once")
.arg(size.to_string())
.output()
.expect("failed to run benchmark baseline process");
if !baseline_output.status.success() {
panic!(
"benchmark baseline process failed: {}",
String::from_utf8_lossy(&baseline_output.stderr)
);
}
let baseline_stdout = String::from_utf8(baseline_output.stdout)
.expect("baseline process returned non-UTF-8 output");
let baseline_mem = baseline_stdout
.split_whitespace()
.next()
.expect("missing baseline memory usage")
.parse::<usize>()
.expect("invalid baseline memory usage");
let mut total_time: u128 = 0;
let mut max_time: u128 = 0;
let mut total_mem: usize = 0;
let mut max_mem: usize = 0;
for seed in 1..=RUNS {
let output = Command::new(env::current_exe().expect("failed to find current executable"))
.arg("--run-once")
.arg(size.to_string())
.arg(seed.to_string())
.output()
.expect("failed to run benchmark child process");
if !output.status.success() {
panic!(
"benchmark child process failed: {}",
String::from_utf8_lossy(&output.stderr)
);
}
let stdout = String::from_utf8(output.stdout)
.expect("child process returned non-UTF-8 output");
let mut fields = stdout.split_whitespace();
let elapsed_us = fields
.next()
.expect("missing elapsed time")
.parse::<u128>()
.expect("invalid elapsed time");
let mem = fields
.next()
.expect("missing memory usage")
.parse::<usize>()
.expect("invalid memory usage");
total_time += elapsed_us;
if elapsed_us > max_time {
max_time = elapsed_us;
}
let aux_mem = mem.saturating_sub(baseline_mem);
total_mem += aux_mem;
if aux_mem > max_mem {
max_mem = aux_mem;
}
}
let avg_time = total_time / RUNS as u128;
let avg_mem = total_mem / RUNS;
println!(
"| {:>10} | {:>15} | {:>15} | {:>15} | {:>15} |",
size,
format!("{}.{:06}", avg_time / 1_000_000, avg_time % 1_000_000),
format!("{}.{:06}", max_time / 1_000_000, max_time % 1_000_000),
avg_mem,
max_mem
);
}
}
RUST
RUN cargo build --release
CMD ["./target/release/rust-benchmark"]
EOF
docker build -t rust-benchmark "$WORKDIR"
docker run --rm --init rust-benchmark