イントロソートを使用する

イントロソート (introspective sort) は、クイックソートを主役にし、再帰が深くなりすぎた区間をヒープソートに切り替え、十分に短い部分配列は挿入ソートで仕上げる。

クイックソート単体は入力次第でピボット選びが偏り、再帰深度が O(n) に達して最悪計算量 O(n²) になり得る。

そこでイントロソートは許容する再帰の深さに上限(多くの実装で 2·⌊log₂ n⌋ 前後)を設け、それを超えそうな区間だけヒープソートにフォールバックする。比較ソートとしての下界 Ω(n log n) に張り付いたまま、最悪ケースを回避できる。

  1. クイックソート: 通常どおり分割と再帰を行う。
  2. 深さの監視: 再帰の残り許容深度が 0 になった区間は、クイックソートを続けずヒープソートで処理する。
  3. 小区間の挿入: 要素数が閾値以下の部分配列は挿入ソートで済ませる(再帰オーバーヘッドとマージコストを抑える)。
procedure introsort(A, lo, hi, depth_limit)
  if hi - lo <= INSERTION_THRESHOLD then
    insertion_sort(A, lo, hi)
    return
  if depth_limit = 0 then
    heapsort(A, lo, hi)
    return
  p = partition(A, lo, hi)
  introsort(A, lo, p - 1, depth_limit - 1)
  introsort(A, p + 1, hi, depth_limit - 1)

procedure sort(A)
  introsort(A, 0, length(A) - 1, max(2 * floor(log2(length(A))), 1))

この切り替えにより最悪計算量は O(n log n) に保たれるが、ピボット型の分割や挿入ソートの交換が相対順序を変えうるため、一般に不安定である。

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に深さ監視とヒープソートへの切り替え、挿入ソートによる小区間仕上げを加えたものである。

クイックソート単体の最悪計算量 O(n²) を避けつつ、平均性能を維持しようとする設計である。

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 0.000006 0.000046 0 0
512 0.000014 0.000689 0 0
1024 0.000031 0.000087 0 0
2048 0.000062 0.000139 0 0
4096 0.000133 0.000222 0 0
8192 0.000285 0.000470 0 0
16384 0.000540 0.000980 0 0
32768 0.001115 0.002595 0 0
65536 0.002355 0.003130 0 0
131072 0.005310 0.008094 0 0
262144 0.010958 0.021436 0 0
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::{
    alloc::{GlobalAlloc, Layout, System},
    env,
    process::Command,
    sync::atomic::{AtomicUsize, Ordering as AtomicOrdering},
    time::{Duration, Instant},
};

/// Counts live heap bytes and the high-water mark so auxiliary sort buffers
/// (swap Vecs, etc.) are measured as explicit heap growth during the sort.
struct TrackingAllocator;

static LIVE_BYTES: AtomicUsize = AtomicUsize::new(0);
static PEAK_BYTES: AtomicUsize = AtomicUsize::new(0);

fn record_alloc(size: usize) {
    let live = LIVE_BYTES.fetch_add(size, AtomicOrdering::Relaxed) + size;
    PEAK_BYTES.fetch_max(live, AtomicOrdering::Relaxed);
}

unsafe impl GlobalAlloc for TrackingAllocator {
    unsafe fn alloc(&self, layout: Layout) -> *mut u8 {
        let ptr = System.alloc(layout);
        if !ptr.is_null() {
            record_alloc(layout.size());
        }
        ptr
    }

    unsafe fn dealloc(&self, ptr: *mut u8, layout: Layout) {
        LIVE_BYTES.fetch_sub(layout.size(), AtomicOrdering::Relaxed);
        System.dealloc(ptr, layout);
    }

    unsafe fn alloc_zeroed(&self, layout: Layout) -> *mut u8 {
        let ptr = System.alloc_zeroed(layout);
        if !ptr.is_null() {
            record_alloc(layout.size());
        }
        ptr
    }

    unsafe fn realloc(&self, ptr: *mut u8, layout: Layout, new_size: usize) -> *mut u8 {
        let new_ptr = System.realloc(ptr, layout, new_size);
        if !new_ptr.is_null() {
            LIVE_BYTES.fetch_sub(layout.size(), AtomicOrdering::Relaxed);
            record_alloc(new_size);
        }
        new_ptr
    }
}

#[global_allocator]
static GLOBAL: TrackingAllocator = TrackingAllocator;
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;
        }
    }
}

fn partition_at(a: &mut [usize], lo: usize, hi: usize, pivot_idx: usize) -> usize {
    a.swap(pivot_idx, hi);
    let pivot = a[hi];
    let mut i = lo;
    for j in lo..hi {
        if a[j] < pivot {
            a.swap(i, j);
            i += 1;
        }
    }
    a.swap(i, hi);
    i
}

fn partition(a: &mut [usize], lo: usize, hi: usize) -> usize {
    partition_at(a, lo, hi, lo + (hi - lo) / 2)
}

fn sift_down(a: &mut [usize], mut root: usize, end: usize) {
    loop {
        let child = root * 2 + 1;
        if child > end {
            break;
        }
        let mut swap_idx = child;
        if child < end && a[child] < a[child + 1] {
            swap_idx = child + 1;
        }
        if a[root] >= a[swap_idx] {
            break;
        }
        a.swap(root, swap_idx);
        root = swap_idx;
    }
}

fn heap_sort(a: &mut [usize]) {
    if a.len() <= 1 {
        return;
    }
    for start in (0..a.len() / 2).rev() {
        sift_down(a, start, a.len() - 1);
    }
    for end in (1..a.len()).rev() {
        a.swap(0, end);
        sift_down(a, 0, end - 1);
    }
}



fn intro_sort_range(a: &mut [usize], lo: usize, hi: usize, depth: usize) {
    if hi <= lo {
        return;
    }
    if hi - lo < 16 {
        insertion_sort(&mut a[lo..=hi]);
        return;
    }
    if depth == 0 {
        heap_sort(&mut a[lo..=hi]);
        return;
    }
    let p = partition(a, lo, hi);
    if p > 0 {
        intro_sort_range(a, lo, p - 1, depth - 1);
    }
    intro_sort_range(a, p + 1, hi, depth - 1);
}

fn intro_sort(a: &mut [usize]) {
    if let Some(hi) = a.len().checked_sub(1) {
        let depth = usize::BITS as usize - a.len().leading_zeros() as usize;
        intro_sort_range(a, 0, hi, depth * 2);
    }
}


fn benchmark_sort(array: &mut [usize]) {

    intro_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),
        );
    }
    // Small-input cutoffs (insertion sort below 32 elements, etc.) hide duplicate-key
    // bugs in the recursive path, so repeat the duplicate cases at the smallest
    // benchmark size, which every algorithm must handle within reasonable time.
    check_correctness_case("all_equal_len256", vec![7; 256]);
    for seed in 1..=4 {
        check_correctness_case(
            &format!("few_keys_len256_seed_{seed}"),
            few_unique_values(256, 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 micros(d: Duration) -> u128 {
    d.as_micros()
}

fn input_array(size: usize, seed: u64) -> Vec<usize> {
    shuffled(size, seed)
}

/// Peak heap growth during `benchmark_sort`, in bytes (explicit buffers such as swap).
/// Kept in bytes so the parent can average before rounding; converting to KiB here
/// would truncate sub-KiB buffers to 0 in every run and hide them from the average.
fn run_once(size: usize, seed: usize) -> (u128, usize) {
    let mut array = input_array(size, seed as u64);

    let base_bytes = LIVE_BYTES.load(AtomicOrdering::Relaxed);
    PEAK_BYTES.store(base_bytes, AtomicOrdering::Relaxed);

    let start = Instant::now();

    benchmark_sort(&mut array);

    let elapsed = start.elapsed();
    let peak_bytes = PEAK_BYTES.load(AtomicOrdering::Relaxed);
    let aux_bytes = peak_bytes.saturating_sub(base_bytes);

    let expected: Vec<usize> = (1..=size).collect();
    if array != expected {
        panic!(
            "sort failed with seed {} for size {}",
            seed,
            size
        );
    }

    (micros(elapsed), aux_bytes)
}

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 == "--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 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 aux_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;
            }

            total_mem += aux_mem;

            if aux_mem > max_mem {
                max_mem = aux_mem;
            }
        }

        let avg_time = total_time / RUNS as u128;
        // Memory is summed in bytes and converted to KiB once, after averaging.
        let avg_mem_kb = total_mem / RUNS / 1024;
        let max_mem_kb = max_mem / 1024;

        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_kb,
            max_mem_kb
        );
    }
}
RUST

RUN cargo build --release

CMD ["./target/release/rust-benchmark"]
EOF

docker build -t rust-benchmark "$WORKDIR"
docker run --rm --init rust-benchmark