グリッドソートで配列を並び替える
グリッドソートを使用する
グリッドソート (gridsort) は、要素を 2 軸の自己平衡配列(バイナリグリッド)へ挿入し、フロア順に読み出すことで整列する安定・適応的な分割型比較ソートである。キューブソートのバイナリキューブを 1 段簡略化した姉妹アルゴリズムで、ルックアップテーブル上の二分探索だけで挿入先バケットを決める。
本稿の実装は説明用に簡略化し、本番実装で使われるバウンドレス/適応的二分探索やクワッドソートによるバケット整列の代わりに、通常の二分探索と挿入ソートを用いる。バケット容量はおよそ \(\sqrt{n}\) にとり、約 \(2\sqrt{n}\) 本のバケットがそれぞれ \(\sqrt{n}\) 要素を収める想定に揃える。
- 容量の決定: 要素数 \(n\) の平方根に近いバケット容量をとり、フロア列とバケット本数が同程度のスケールになるよう保つ。
- 挿入: キーに対し各バケットのフロア(先頭値)を二分探索し、該当バケット末尾へ追加する。フロアは分割直後の最小値で、未ソートの追加では更新しない。
- オーバーフロー分割: バケットが容量に達したら全体をソートし、半分ずつに分けて隣へ新しいバケットを挿入する。両側のフロアをルックアップへ反映する。
- 仕上げ: 残った未ソートバケットをソートし、フロア昇順に連結して元配列へ書き戻す。
procedure grid_sort(A)
n = length(A)
if n < 2 then return
capacity = round_up_pow2(sqrt(n)) // 下限あり
buckets = [bucket with floor A[0], items [A[0]]]
for i = 1 .. n-1
key = A[i]
b = binary_search_floor(buckets, key)
append key to buckets[b]
if length(buckets[b]) >= capacity then
sort(buckets[b]); split into two halves; insert right half after b
for each bucket B in floor order
sort(B) if needed
append B to output
copy output back to A
整列済みや逆順では、ほぼ常に端のバケットへ追記されて分割が起きにくく、比較はおおよそ \(O(n)\) に近づく。平均・最悪は各挿入が \(O(\log n)\) 相当のため \(O(n \log n)\)、追加メモリはグリッド本体で \(O(n)\) である。バケット内を安定ソートし末尾追加するため、全体としても安定である。
デモでは視認性のため容量を 4 に固定し、上段に未挿入または出力の枠、その下にフロア付き Y バケットを示す。開始時は全要素が未挿入にあり、先頭キーから最初のバケットを作る。
未挿入の先頭が次のキーで、枠付きの Y が現在の挿入先である。未挿入と出力は同じ高さの枠を切り替えて表示する。分割後は各バケットのフロア(先頭値)だけが次の二分探索に使われる。
類似アルゴリズムとの相違点
キューブソートは同じ分割挿入を X・Y・Z の 3 軸で行う上位概念である。グリッドはルックアップを 1 段に落とすため実装が単純で、キューブの分割挿入を理解する足場になる。
バケットソートは値域やハッシュで桶を決めるのに対し、グリッドソートは比較だけでフロア列を二分探索する。分布が一様でなくても最悪 \(O(n \log n)\) を保てる。
クワッドソートは本番グリッドソートがバケット整列に用いる部品である。本稿では挿入ソートに置き換えている。
フラックスソートはトップダウン分割で同系統の安定適応ソートを実現する。グリッドはボトムアップにバケットを育てる点が異なる。
時間計算量および空間計算量を計測する
| Size | Average time (s) | Maximum time (s) | Average memory (KiB) | Maximum memory (KiB) |
|---|---|---|---|---|
| 256 | 0.000036 | 0.000524 | 6 | 7 |
| 512 | 0.000053 | 0.000477 | 11 | 12 |
| 1024 | 0.000093 | 0.000499 | 22 | 24 |
| 2048 | 0.000204 | 0.001445 | 42 | 46 |
| 4096 | 0.000391 | 0.000828 | 84 | 90 |
| 8192 | 0.001019 | 0.008118 | 163 | 174 |
| 16384 | 0.001848 | 0.006148 | 331 | 346 |
| 32768 | 0.005063 | 0.039607 | 648 | 684 |
| 65536 | 0.011460 | 0.078430 | 1291 | 1349 |
| 131072 | 0.047764 | 0.196380 | 2563 | 2667 |
| 262144 | 0.091738 | 0.832244 | 5120 | 5299 |
計測に使用したコードを表示する
#!/usr/bin/env swift
import Foundation
// This standalone Swift driver creates the same temporary Docker build
// context as the former shell wrapper. The benchmark program itself remains
// embedded below so readers can copy one complete, reproducible file.
struct BenchmarkError: Error, CustomStringConvertible {
let message: String
var description: String { message }
init(_ message: String) {
self.message = message
}
}
func runCommand(_ executable: String, _ arguments: [String]) throws {
let process = Process()
process.executableURL = URL(fileURLWithPath: "/usr/bin/env")
process.arguments = [executable] + arguments
process.standardInput = FileHandle.standardInput
process.standardOutput = FileHandle.standardOutput
process.standardError = FileHandle.standardError
do {
try process.run()
} catch {
throw BenchmarkError("Could not start \(executable): \(error)")
}
process.waitUntilExit()
guard process.terminationStatus == 0 else {
throw BenchmarkError(
"Command failed (\(process.terminationStatus)): " +
"\(executable) \(arguments.joined(separator: " "))"
)
}
}
do {
// The UUID avoids collisions when two benchmark copies are run at once.
let workdir = FileManager.default.temporaryDirectory
.appendingPathComponent("swift-sort-benchmark-\(UUID().uuidString)")
try FileManager.default.createDirectory(at: workdir, withIntermediateDirectories: true)
defer { try? FileManager.default.removeItem(at: workdir) }
// A raw Swift string is used so the nested main.swift keeps its own
// interpolation expressions such as \(seed) until Docker compiles it.
let dockerfile = #"""
FROM swift:6.0
WORKDIR /app
RUN cat > alloc_track.c <<'ALLOC'
#define _GNU_SOURCE
#include <dlfcn.h>
#include <malloc.h>
#include <stdatomic.h>
#include <stddef.h>
#include <stdint.h>
#include <stdlib.h>
#include <string.h>
static atomic_size_t live_bytes = 0;
static atomic_size_t peak_bytes = 0;
static void *(*real_malloc)(size_t) = NULL;
static void *(*real_calloc)(size_t, size_t) = NULL;
static void *(*real_realloc)(void *, size_t) = NULL;
static void (*real_free)(void *) = NULL;
static void init_reals(void) {
if (real_malloc) {
return;
}
real_malloc = (void *(*)(size_t))dlsym(RTLD_NEXT, "malloc");
real_calloc = (void *(*)(size_t, size_t))dlsym(RTLD_NEXT, "calloc");
real_realloc = (void *(*)(void *, size_t))dlsym(RTLD_NEXT, "realloc");
real_free = (void (*)(void *))dlsym(RTLD_NEXT, "free");
}
static void record_alloc(size_t size) {
size_t live = atomic_fetch_add(&live_bytes, size) + size;
size_t peak = atomic_load(&peak_bytes);
while (live > peak) {
if (atomic_compare_exchange_weak(&peak_bytes, &peak, live)) {
break;
}
}
}
void alloc_track_reset_peak(void) {
atomic_store(&peak_bytes, atomic_load(&live_bytes));
}
size_t alloc_track_live(void) { return atomic_load(&live_bytes); }
size_t alloc_track_peak(void) { return atomic_load(&peak_bytes); }
void *malloc(size_t size) {
init_reals();
void *p = real_malloc(size);
if (p) {
record_alloc(malloc_usable_size(p));
}
return p;
}
void *calloc(size_t nmemb, size_t size) {
init_reals();
void *p = real_calloc(nmemb, size);
if (p) {
record_alloc(malloc_usable_size(p));
}
return p;
}
void *realloc(void *ptr, size_t size) {
init_reals();
size_t old_size = 0;
if (ptr) {
old_size = malloc_usable_size(ptr);
}
void *p = real_realloc(ptr, size);
if (p) {
atomic_fetch_sub(&live_bytes, old_size);
record_alloc(malloc_usable_size(p));
} else if (size == 0) {
atomic_fetch_sub(&live_bytes, old_size);
}
return p;
}
void free(void *ptr) {
init_reals();
if (ptr) {
atomic_fetch_sub(&live_bytes, malloc_usable_size(ptr));
real_free(ptr);
}
}
ALLOC
RUN cat > main.swift <<'SWIFT'
import Foundation
#if canImport(Glibc)
import Glibc
#elseif canImport(Darwin)
import Darwin
#endif
@_silgen_name("alloc_track_live") func alloc_track_live() -> Int
@_silgen_name("alloc_track_peak") func alloc_track_peak() -> Int
@_silgen_name("alloc_track_reset_peak") func alloc_track_reset_peak()
extension UnsafeMutableBufferPointer where Element == Int {
func swapAt(_ i: Int, _ j: Int) {
let t = self[i]; self[i] = self[j]; self[j] = t
}
}
let MIN_POWER: Int = 8
let MAX_POWER: Int = 18
let RUNS: Int = 8192
func insertion_sort(_ a: inout [Int]) {
a.withUnsafeMutableBufferPointer { insertion_sort($0) }
}
func insertion_sort(_ a: UnsafeMutableBufferPointer<Int>) {
if a.count < 2 {
return
}
for i in 1..<a.count {
var j = i
while j > 0 && a[j - 1] > a[j] {
a.swapAt(j - 1, j)
j -= 1
}
}
}
/// Educational gridsort: insert into a 2-axis binary grid (lookup floors → Y buckets),
/// bulk-sort and split overflowing buckets, then flatten in floor order.
/// Stand-in for scandum's gridsort (production uses monobound/adaptive searches and
/// quadsort for bucket sorts). Capacity tracks ~√n so roughly 2√n buckets of √n fit.
fileprivate func grid_capacity(_ n: Int) -> Int {
var c = 4
while c * c < n {
c *= 2
if c > 512 {
return 512
}
}
return c
}
fileprivate struct GridBucket {
var floor: Int
var items: [Int]
var isSorted: Bool
mutating func ensureSorted() {
if isSorted {
return
}
insertion_sort(&items)
isSorted = true
if let first = items.first {
floor = first
}
}
}
fileprivate func grid_find(_ buckets: [GridBucket], _ key: Int) -> Int {
var lo = 0
var hi = buckets.count
while lo < hi {
let mid = lo + (hi - lo) / 2
if buckets[mid].floor <= key {
lo = mid + 1
} else {
hi = mid
}
}
return max(0, lo - 1)
}
fileprivate func grid_split(_ buckets: inout [GridBucket], _ bi: Int) {
buckets[bi].ensureSorted()
let mid = buckets[bi].items.count / 2
guard mid > 0, mid < buckets[bi].items.count else {
return
}
let rightItems = Array(buckets[bi].items[mid...])
buckets[bi].items.removeSubrange(mid...)
buckets[bi].floor = buckets[bi].items[0]
buckets[bi].isSorted = true
buckets.insert(
GridBucket(floor: rightItems[0], items: rightItems, isSorted: true),
at: bi + 1
)
}
func grid_sort(_ a: inout [Int]) {
a.withUnsafeMutableBufferPointer { grid_sort($0) }
}
func grid_sort(_ a: UnsafeMutableBufferPointer<Int>) {
let n = a.count
if n < 2 {
return
}
let capacity = grid_capacity(n)
var first = GridBucket(floor: a[0], items: [], isSorted: true)
first.items.reserveCapacity(capacity)
first.items.append(a[0])
var buckets: [GridBucket] = [first]
for i in 1..<n {
let key = a[i]
let bi = grid_find(buckets, key)
if buckets[bi].items.capacity < capacity {
buckets[bi].items.reserveCapacity(capacity)
}
buckets[bi].items.append(key)
buckets[bi].isSorted = false
if buckets[bi].items.count >= capacity {
grid_split(&buckets, bi)
}
}
var out = [Int]()
out.reserveCapacity(n)
for bi in 0..<buckets.count {
buckets[bi].ensureSorted()
out.append(contentsOf: buckets[bi].items)
}
for i in 0..<n {
a[i] = out[i]
}
}
func benchmark_sort(_ array: inout [Int]) {
grid_sort(&array)
}
func is_non_decreasing(_ a: [Int]) -> Bool {
guard a.count >= 2 else { return true }
for i in 1..<a.count {
if a[i - 1] > a[i] { return false }
}
return true
}
func same_multiset(_ a: [Int], _ b: [Int]) -> Bool {
if a.count != b.count {
return false
}
var left = a
var right = b
left.sort()
right.sort()
return left == right
}
func check_correctness_case(_ label: String, _ input: [Int]) {
var input = input
let original = input
benchmark_sort(&input)
if !is_non_decreasing(input) {
fatalError("correctness case \(label): output is not sorted")
}
if !same_multiset(input, original) {
fatalError("correctness case \(label): elements were lost or added")
}
}
// Skip cases larger than the algorithm's measured size cap (MAX_POWER). That
// cap exists because larger inputs are impractically slow; forcing them here
// would stall the published measurement script before any table rows print.
func check_correctness_case_within_limit(_ label: String, _ input: [Int]) {
if input.count > (1 << MAX_POWER) {
return
}
check_correctness_case(label, input)
}
func few_unique_values(_ size: Int, _ unique: Int, _ seed: UInt64) -> [Int] {
var state = seed
var result = [Int]()
result.reserveCapacity(size)
for _ in 0..<size {
state ^= state << 13
state ^= state >> 7
state ^= state << 17
result.append(Int(state % UInt64(unique)) + 1)
}
return result
}
func run_correctness_checks() {
check_correctness_case("empty", [])
check_correctness_case("single", [42])
check_correctness_case("duplicates", [3, 1, 3, 2, 1, 2])
check_correctness_case("sorted", [1, 2, 3, 4, 5])
check_correctness_case("reverse", [5, 4, 3, 2, 1])
check_correctness_case("all_equal", [7, 7, 7, 7])
check_correctness_case("skewed_range", [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",
[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(
"few_keys_len32_seed_\(seed)",
few_unique_values(32, 4, UInt64(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", [Int](repeating: 7, count: 256))
for seed in 1...4 {
check_correctness_case(
"few_keys_len256_seed_\(seed)",
few_unique_values(256, 4, UInt64(seed))
)
}
// Blit's equal-key second sweep used to copy the whole range into a fixed
// 512-element swap; lengths above that must still sort without panicking.
// Respect MAX_POWER so algorithms with a low measured-size cap (slow,
// sleep) do not hang here for minutes or months.
check_correctness_case_within_limit("all_equal_len600", [Int](repeating: 7, count: 600))
for seed in 1...4 {
check_correctness_case_within_limit(
"few_keys_len2048_seed_\(seed)",
few_unique_values(2048, 4, UInt64(seed))
)
}
}
func shuffled(_ size: Int, seed: UInt64) -> [Int] {
guard size > 0 else { return [] }
var v = Array(1...size)
var state = seed
if size > 1 {
for i in stride(from: size - 1, through: 1, by: -1) {
state ^= state << 13
state ^= state >> 7
state ^= state << 17
let j = Int(state % UInt64(i + 1))
v.swapAt(i, j)
}
}
return v
}
func micros(_ d: Duration) -> UInt64 {
let c = d.components
let fromSeconds = UInt64(c.seconds) * 1_000_000
let fromAttos = UInt64(max(0, c.attoseconds / 1_000_000_000_000))
return fromSeconds + fromAttos
}
func padLeft(_ value: String, _ width: Int) -> String {
if value.count >= width {
return value
}
return String(repeating: " ", count: width - value.count) + value
}
func formatSeconds(_ micros: UInt64) -> String {
let whole = micros / 1_000_000
let frac = micros % 1_000_000
let fracStr = padLeft(String(frac), 6).replacingOccurrences(of: " ", with: "0")
return "\(whole).\(fracStr)"
}
func input_array(_ size: Int, seed: UInt64) -> [Int] {
shuffled(size, seed: 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.
func run_once(size: Int, seed: Int) -> (UInt64, Int) {
var array = input_array(size, seed: UInt64(seed))
let baseBytes = alloc_track_live()
alloc_track_reset_peak()
let start = ContinuousClock.now
benchmark_sort(&array)
let elapsed = ContinuousClock.now - start
let peakBytes = alloc_track_peak()
let auxBytes = max(0, peakBytes - baseBytes)
let expected: [Int] = size > 0 ? Array(1...size) : []
if array != expected {
fatalError("sort failed with seed \(seed) for size \(size)")
}
return (micros(elapsed), auxBytes)
}
func run_child(_ args: [String]) {
let size = Int(args[2])!
let seed = Int(args[3])!
let (elapsedUs, mem) = run_once(size: size, seed: seed)
print("\(elapsedUs) \(mem)")
}
let args = CommandLine.arguments
if args.count > 1 && args[1] == "--run-once" {
run_child(args)
} else {
run_correctness_checks()
let tableHeader =
"| \(padLeft("Size", 10)) | " +
"\(padLeft("Average time (s)", 16)) | " +
"\(padLeft("Maximum time (s)", 16)) | " +
"\(padLeft("Average memory (KiB)", 20)) | " +
"\(padLeft("Maximum memory (KiB)", 20)) |"
print(tableHeader)
print("|-----------:|-----------------:|-----------------:|---------------------:|---------------------:|")
for power in MIN_POWER...MAX_POWER {
let size = 1 << power
var totalTime: UInt64 = 0
var maxTime: UInt64 = 0
var totalMem = 0
var maxMem = 0
for seed in 1...RUNS {
let process = Process()
process.executableURL = URL(fileURLWithPath: args[0])
process.arguments = ["--run-once", "\(size)", "\(seed)"]
let stdout = Pipe()
let stderr = Pipe()
process.standardOutput = stdout
process.standardError = stderr
do {
try process.run()
} catch {
fatalError("failed to run benchmark child process: \(error)")
}
process.waitUntilExit()
if process.terminationStatus != 0 {
let err = String(data: stderr.fileHandleForReading.readDataToEndOfFile(), encoding: .utf8) ?? ""
fatalError("benchmark child process failed: \(err)")
}
let data = stdout.fileHandleForReading.readDataToEndOfFile()
let stdoutText = String(data: data, encoding: .utf8) ?? ""
let fields = stdoutText.split(whereSeparator: \.isWhitespace)
guard fields.count >= 2,
let elapsedUs = UInt64(fields[0]),
let auxMem = Int(fields[1]) else {
fatalError("invalid child process output: \(stdoutText)")
}
totalTime += elapsedUs
if elapsedUs > maxTime {
maxTime = elapsedUs
}
totalMem += auxMem
if auxMem > maxMem {
maxMem = auxMem
}
}
let avgTime = totalTime / UInt64(RUNS)
// Memory is summed in bytes and converted to KiB once, after averaging.
let avgMemKb = totalMem / RUNS / 1024
let maxMemKb = maxMem / 1024
let tableRow =
"| \(padLeft(String(size), 10)) | " +
"\(padLeft(formatSeconds(avgTime), 16)) | " +
"\(padLeft(formatSeconds(maxTime), 16)) | " +
"\(padLeft(String(avgMemKb), 20)) | " +
"\(padLeft(String(maxMemKb), 20)) |"
print(tableRow)
}
}
SWIFT
RUN clang -O2 -fPIC -shared alloc_track.c -o liballoc_track.so -ldl
RUN swiftc -Ounchecked -whole-module-optimization \
main.swift \
-o swift-benchmark \
-L. -lalloc_track \
-Xlinker -rpath -Xlinker /app
ENV LD_PRELOAD=/app/liballoc_track.so
CMD ["./swift-benchmark"]
"""#
try dockerfile.write(
to: workdir.appendingPathComponent("Dockerfile"),
atomically: true,
encoding: .utf8
)
// Keeping build and run as separate child processes preserves Docker's
// normal output and the original image tag used by the benchmark skill.
try runCommand("docker", ["build", "-t", "swift-benchmark", workdir.path])
try runCommand("docker", ["run", "--rm", "--init", "swift-benchmark"])
} catch {
fputs("\(error)\n", stderr)
exit(1)
}