プロックスマップソートで配列を並び替える
プロックスマップソートを使用する
プロックスマップソートは、キーを近接写像 (proximity map) で決めた部分配列へ仕分け、各部分配列内を挿入しながら整列する分布ソートである。
- ヒット数
H: 各キーにmapKey関数を適用し、同じ部分配列へ入る要素数を数える。 - 近接写像
P: ヒット数の累積和から、各部分配列が出力配列A2のどこから始まるかを求める。部分配列のサイズはちょうどそのヒット数分確保される。 - 位置
L: 元配列Aの各要素について、L[i] = P[mapKey(A[i])]として配置開始位置を記録する。 - 配置:
Aを左から走査し、各要素をA2の対応部分配列へ置く。衝突したら部分配列内で挿入ソートし、より大きいキーを右へ 1 セルずつずらして空きを作る。部分配列はヒット数分だけ確保されているため、隣の部分配列へはみ出さない。
procedure proxmap_sort(A)
n = length(A)
for each bucket b: H[b] = 0
for each x in A:
b = mapKey(x)
H[b] = H[b] + 1
running = 0
for each bucket b:
if H[b] > 0 then
P[b] = running
running = running + H[b]
for i from 0 to n - 1:
L[i] = P[mapKey(A[i])]
A2 = array of n empty slots
for i from 0 to n - 1:
start = L[i]
insert A[i] into A2 at start, shifting larger keys right within the subarray
A = A2
整数キー 1..n を n 個の部分配列へ写す典型例では mapKey(x) = floor((x - min) / (max - min) * (n - 1)) のように値域を等分する。分布が一様なら O(n) に近づくが、同一部分配列に偏ると挿入のシフトが重なり O(n²) になる。
なお整列後に P と mapKey を保持しておけば、ProxmapSearch により平均 O(1) でキー検索できる。静的な大規模データセットで検索頻度が高い場合に有利だが、更新のたびに近接写像を組み直す必要がある。
類似アルゴリズムとの相違点
バケットソートは仕分け完了後にバケットごとに整列するが、プロックスマップは配置と挿入を同時に行い、整列後は ProxmapSearch で検索しやすい構造を残せる。
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 | 0.000002 | 0.000041 | 14 | 14 |
| 512 | 0.000004 | 0.000052 | 28 | 28 |
| 1024 | 0.000009 | 0.000066 | 56 | 56 |
| 2048 | 0.000017 | 0.000059 | 112 | 112 |
| 4096 | 0.000041 | 0.000121 | 224 | 224 |
| 8192 | 0.000083 | 0.000239 | 448 | 448 |
| 16384 | 0.000199 | 0.000508 | 896 | 896 |
| 32768 | 0.000387 | 0.000868 | 1792 | 1792 |
| 65536 | 0.000779 | 0.001969 | 3584 | 3584 |
| 131072 | 0.001639 | 0.003205 | 7168 | 7168 |
| 262144 | 0.003059 | 0.005913 | 14336 | 14336 |
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},
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, Ordering::Relaxed) + size;
PEAK_BYTES.fetch_max(live, Ordering::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(), Ordering::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(), Ordering::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 proxmap_sort(a: &mut [usize]) {
if a.is_empty() {
return;
}
let n = a.len();
let min = *a.iter().min().unwrap();
let max = *a.iter().max().unwrap();
let bucket_count = n;
let map_key = |x: usize| -> usize {
if max == min {
0
} else {
((x - min) * (bucket_count - 1)) / (max - min)
}
};
let mut hit_count = vec![0usize; bucket_count];
let mut map_keys = Vec::with_capacity(n);
for &x in a.iter() {
let mk = map_key(x);
map_keys.push(mk);
hit_count[mk] += 1;
}
let mut prox_map = vec![None; bucket_count];
let mut running_total = 0usize;
for (i, &hits) in hit_count.iter().enumerate() {
if hits > 0 {
prox_map[i] = Some(running_total);
running_total += hits;
}
}
let location: Vec<usize> = map_keys
.iter()
.map(|&mk| prox_map[mk].expect("missing prox map entry"))
.collect();
let mut a2: Vec<Option<usize>> = vec![None; n];
for i in 0..n {
let key = a[i];
let start = location[i];
let mut insert_idx = start;
loop {
if a2[insert_idx].is_none() {
a2[insert_idx] = Some(key);
break;
}
let current = a2[insert_idx].unwrap();
if key < current {
let mut end = insert_idx + 1;
while end < n && a2[end].is_some() {
end += 1;
}
// Shift right into the hole at `end` (inclusive of insert_idx).
for k in (insert_idx..end).rev() {
a2[k + 1] = a2[k];
}
a2[insert_idx] = Some(key);
break;
}
insert_idx += 1;
}
}
for i in 0..n {
a[i] = a2[i].unwrap();
}
}
fn benchmark_sort(array: &mut [usize]) {
proxmap_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 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 KiB (explicit buffers such as swap).
fn run_once(size: usize, seed: usize) -> (u128, usize) {
let mut array = input_array(size, seed as u64);
let base_bytes = LIVE_BYTES.load(Ordering::Relaxed);
PEAK_BYTES.store(base_bytes, Ordering::Relaxed);
let start = Instant::now();
benchmark_sort(&mut array);
let elapsed = start.elapsed();
let peak_bytes = PEAK_BYTES.load(Ordering::Relaxed);
let aux_kb = peak_bytes.saturating_sub(base_bytes) / 1024;
let expected: Vec<usize> = (1..=size).collect();
if array != expected {
panic!(
"sort failed with seed {} for size {}",
seed,
size
);
}
(micros(elapsed), aux_kb)
}
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;
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