クワッドソートで配列を並び替える
クワッドソートを使用する
クワッドソート (quadsort) は、安定・適応的なボトムアップ型マージソートである。小区間を 4 要素単位で整え、隣接する整列済みブロックを 4 本まとめて併合(ピンポン・クワッドマージ)する点が特徴で、整列済み区間の併合を省略できる。
本記事の実装は説明用に簡略化しており、実際の実装で用いられる無分岐のパリティマージやクロスマージの代わりに、通常の安定二分マージを用いる。ブロック長も 8 ではなく 4 から始める。
- 整列・逆整列の早期終了: 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(比較・移動とも
O(n))。 - クワッドスワップ: 4 要素ごとに比較交換ネットワークで整列し、長さ 4 の整列済みブロック列にする。余りは挿入ソートで整える。
- ピンポン・クワッドマージ: 隣接 4 ブロックを、まず 2 組ずつ補助配列へマージし、続けて本配列へ戻す 1 回のマージで 4 倍長の整列済み列にする(往復コピーを減らす)。
- スキップ: 4 ブロックの境界がすべて昇順なら併合を省略する。これにより完全整列済み入力は追加の
O(n log n)マージを避けられる。 - 余り: 4 ブロックに満たない残りは、通常の二分ボトムアップマージで吸収する。ブロック長を 4 倍しながら繰り返す。
procedure quad_swap4(A, i0, i1, i2, i3)
compare-exchange pairs and cross pairs until four keys are sorted
procedure quad_merge_four(A, swap, start, block)
if A[start+block-1] ≤ A[start+block]
and A[start+2*block-1] ≤ A[start+2*block]
and A[start+3*block-1] ≤ A[start+3*block] then
return
merge A[start .. start+2*block) into swap via two halves
merge A[start+2*block .. start+4*block) into swap
merge the two halves of swap back into A[start .. start+4*block)
procedure quadsort(A)
if A is sorted then return
if A is reverse-sorted then reverse(A); return
for each complete group of 4 elements
quad_swap4(group)
insertion_sort(tail shorter than 4)
block := 4
while block < length(A)
for each aligned span of 4*block elements
quad_merge_four(A, swap, span, block)
binary bottom-up merge any leftover runs of size block
block := block * 4
最良は整列済み検出により O(n)、平均・最悪は O(n log n) である。補助配列に最大 O(n) を使う安定ソートである。
類似アルゴリズムとの相違点
マージソートは 2 分割再帰が基本である。クワッドソートはボトムアップで 4 ブロック単位のピンポン併合と、境界昇順時のスキップを前面に出す。
ティムソートは自然ランの検出とギャロッピング併合が中心である。クワッドソートは固定長ブロックのクワッドスワップから始め、整列度に応じて併合を省略する。
フラックスソートはクイック型の安定分割を主とし、小区間でクワッドソート系の仕上げを使う。本記事のクワッドソートは分割を行わず、マージ側だけで完結する。
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 | 0.000005 | 0.000053 | 78 | 84 |
| 512 | 0.000013 | 0.000065 | 69 | 76 |
| 1024 | 0.000028 | 0.000277 | 66 | 72 |
| 2048 | 0.000062 | 0.000251 | 78 | 84 |
| 4096 | 0.000134 | 0.000310 | 90 | 96 |
| 8192 | 0.000295 | 0.002911 | 122 | 128 |
| 16384 | 0.000639 | 0.000919 | 74 | 80 |
| 32768 | 0.001367 | 0.002252 | 104 | 144 |
| 65536 | 0.002976 | 0.004847 | 360 | 400 |
| 131072 | 0.006242 | 0.011857 | 879 | 920 |
| 262144 | 0.013037 | 0.027442 | 1912 | 2060 |
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;
/// Sort four elements with a small sorting network (equals keep order via `>`).
fn quad_swap4(a: &mut [usize], i0: usize, i1: usize, i2: usize, i3: usize) {
if a[i0] > a[i1] {
a.swap(i0, i1);
}
if a[i2] > a[i3] {
a.swap(i2, i3);
}
if a[i0] > a[i2] {
a.swap(i0, i2);
}
if a[i1] > a[i3] {
a.swap(i1, i3);
}
if a[i1] > a[i2] {
a.swap(i1, i2);
}
}
fn quad_is_sorted(a: &[usize]) -> bool {
a.windows(2).all(|w| w[0] <= w[1])
}
fn quad_is_reverse_sorted(a: &[usize]) -> bool {
a.windows(2).all(|w| w[0] >= w[1])
}
fn quad_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;
}
}
/// Stable two-way merge from `src[lo..mid)` and `src[mid..hi)` into `dst[lo..hi)`.
fn quad_merge_two(src: &[usize], dst: &mut [usize], lo: usize, mid: usize, hi: usize) {
let mut i = lo;
let mut j = mid;
let mut k = lo;
while i < mid && j < hi {
if src[i] <= src[j] {
dst[k] = src[i];
i += 1;
} else {
dst[k] = src[j];
j += 1;
}
k += 1;
}
while i < mid {
dst[k] = src[i];
i += 1;
k += 1;
}
while j < hi {
dst[k] = src[j];
j += 1;
k += 1;
}
}
/// True when four consecutive sorted blocks of length `block` are already ordered
/// across boundaries (skipping the merge is safe).
fn quad_blocks_ordered(a: &[usize], start: usize, block: usize) -> bool {
a[start + block - 1] <= a[start + block]
&& a[start + block * 2 - 1] <= a[start + block * 2]
&& a[start + block * 3 - 1] <= a[start + block * 3]
}
/// Ping-pong quad merge: two pairwise merges into swap, then one merge back into `a`.
fn quad_merge_four(a: &mut [usize], swap: &mut [usize], start: usize, block: usize) {
let mid1 = start + block;
let mid2 = start + block * 2;
let mid3 = start + block * 3;
let end = start + block * 4;
if quad_blocks_ordered(a, start, block) {
return;
}
quad_merge_two(a, swap, start, mid1, mid2);
quad_merge_two(a, swap, mid2, mid3, end);
quad_merge_two(swap, a, start, mid2, end);
}
/// Binary bottom-up merge for a partial span that is not a full group of four blocks.
fn quad_merge_remainder(a: &mut [usize], swap: &mut [usize], start: usize, n: usize, block: usize) {
let mut width = block;
while start + width < n {
let mut lo = start;
while lo + width < n {
let mid = lo + width;
let hi = (lo + width * 2).min(n);
if a[mid - 1] > a[mid] {
quad_merge_two(a, swap, lo, mid, hi);
a[lo..hi].copy_from_slice(&swap[lo..hi]);
}
lo = hi;
}
width *= 2;
}
}
fn quad_sort(a: &mut [usize]) {
let n = a.len();
if n <= 1 {
return;
}
if quad_is_sorted(a) {
return;
}
if quad_is_reverse_sorted(a) {
quad_reverse(a);
return;
}
// Analyzer / quad-swap: leave sorted blocks of 4 (educational stand-in for 8).
let mut i = 0;
while i + 4 <= n {
quad_swap4(a, i, i + 1, i + 2, i + 3);
i += 4;
}
if i < n {
for j in (i + 1)..n {
let key = a[j];
let mut k = j;
while k > i && a[k - 1] > key {
a[k] = a[k - 1];
k -= 1;
}
a[k] = key;
}
}
let mut swap = vec![0usize; n];
let mut block = 4usize;
while block < n {
let stride = block * 4;
let mut start = 0usize;
while start < n {
let rem = n - start;
if rem <= block {
break;
}
if rem >= stride {
quad_merge_four(a, &mut swap, start, block);
start += stride;
} else {
quad_merge_remainder(a, &mut swap, start, n, block);
break;
}
}
block *= 4;
}
}
fn benchmark_sort(array: &mut [usize]) {
quad_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