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stgsharp/StgSharp.Benchmark/SwissBenchmark.cs
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//-----------------------------------------------------------------------
// -----------------------------------------------------------------------
// file="SwissBenchmark"
// Project: StgSharp
// AuthorGroup: Nitload
// Copyright (c) Nitload. All rights reserved.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in all
// copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
// SOFTWARE.
//
// -----------------------------------------------------------------------
// -----------------------------------------------------------------------
using BenchmarkDotNet.Attributes;
using StgSharp.Collections;
using System;
using System.Collections.Generic;
namespace StgSharp.Benchmark
{
/// <summary>
/// Benchmark comparing SwissTable (SSE2 SIMD probing, zero-GC, native memory) against <see
/// cref="Dictionary{TKey, TValue}" /> for the L4 cache address mapping workload: concentrated
/// small-key insert/lookup/remove cycles. <para> SwissTable.Create() performs a 1 MB memset
/// (65536 × 16 control bytes), which is separated into IterationSetup to avoid polluting
/// insert timings.</para>
/// </summary>
[MemoryDiagnoser]
public class SwissTableBench
{
private const int LookupCount = 4096;
private nint[] _lookupKeys = null!;
// ── Pre-generated key arrays ──
private nint[] _preloadedKeys = null!;
private Dictionary<nint, nint> _dictLookup = null!;
private Dictionary<nint, nint> _freshDict = null!;
// ── Fresh instances for insert/mixed (rebuilt each iteration) ──
private SwissTable _freshSwiss = null!;
// ── Lookup targets (pre-filled in GlobalSetup) ──
private SwissTable _swissLookup = null!;
[Params(500, 2000, 5000)]
public int KeyCount;
[GlobalCleanup]
public void Cleanup()
{
_dictLookup.Clear();
_dictLookup.TrimExcess();
}
// ══════════════════════════════════════
// Insert: pure write throughput
// Empty table → fill N keys
// Create() cost excluded via IterationSetup
// ══════════════════════════════════════
[Benchmark]
public void Dictionary_Insert()
{
Dictionary<nint, nint> dict = _freshDict;
nint[] keys = _preloadedKeys;
for (int i = 0; i < keys.Length; i++) {
dict[keys[i]] = keys[i] * 2;
}
}
// ══════════════════════════════════════
// Lookup: pure read throughput
// Pre-filled table, random key access
// ══════════════════════════════════════
[Benchmark(Baseline = true)]
public nint Dictionary_Lookup()
{
nint sum = 0;
nint[] keys = _lookupKeys;
Dictionary<nint, nint> dict = _dictLookup;
for (int i = 0; i < keys.Length; i++)
{
if (dict.TryGetValue(keys[i], out nint value)) {
sum += value;
}
}
return sum;
}
// ══════════════════════════════════════
// Mixed: insert all → lookup half → remove half → lookup all
// Simulates L4 cache lifecycle:
// load working set → compute → evict → recompute
// ══════════════════════════════════════
[Benchmark]
public nint Dictionary_Mixed()
{
Dictionary<nint, nint> dict = _freshDict;
nint[] keys = _preloadedKeys;
nint sum = 0;
// insert all
for (int i = 0; i < keys.Length; i++)
{
dict[keys[i]] = keys[i] * 2;
}
// lookup first half
for (int i = 0; i < keys.Length / 2; i++)
{
if (dict.TryGetValue(keys[i], out nint value)) {
sum += value;
}
}
// remove first half (eviction)
for (int i = 0; i < keys.Length / 2; i++)
{
dict.Remove(keys[i]);
}
// lookup all (half hit, half miss)
for (int i = 0; i < keys.Length; i++)
{
if (dict.TryGetValue(keys[i], out nint value)) {
sum += value;
}
}
return sum;
}
[IterationSetup(Targets = [
nameof(SwissTable_Insert),
nameof(SwissTable_Mixed),
nameof(Dictionary_Insert),
nameof(Dictionary_Mixed)
])]
public void IterationSetup()
{
_freshSwiss = SwissTable.Create();
_freshDict = new Dictionary<nint, nint>(KeyCount);
}
// ── Setup / Teardown ──
[GlobalSetup]
public void Setup()
{
_preloadedKeys = new nint[KeyCount];
_lookupKeys = new nint[LookupCount];
_swissLookup = SwissTable.Create();
_dictLookup = new Dictionary<nint, nint>(KeyCount);
for (int i = 0; i < KeyCount; i++)
{
_preloadedKeys[i] = (nint)i;
_swissLookup.TryAddOrSet((nint)i, (nint)(i * 2), out _);
_dictLookup[(nint)i] = (nint)(i * 2);
}
Random rng = new Random(42);
for (int i = 0; i < LookupCount; i++) {
_lookupKeys[i] = (nint)rng.Next(0, KeyCount);
}
}
[Benchmark]
public void SwissTable_Insert()
{
SwissTable swiss = _freshSwiss;
nint[] keys = _preloadedKeys;
for (int i = 0; i < keys.Length; i++) {
swiss.TryAddOrSet(keys[i], keys[i] * 2, out _);
}
}
[Benchmark]
public nint SwissTable_Lookup()
{
nint sum = 0;
nint[] keys = _lookupKeys;
SwissTable swiss = _swissLookup;
for (int i = 0; i < keys.Length; i++)
{
if (swiss.TryGet(keys[i], out nint value)) {
sum += value;
}
}
return sum;
}
[Benchmark]
public nint SwissTable_Mixed()
{
SwissTable swiss = _freshSwiss;
nint[] keys = _preloadedKeys;
nint sum = 0;
// insert all
for (int i = 0; i < keys.Length; i++)
{
swiss.TryAddOrSet(keys[i], keys[i] * 2, out _);
}
// lookup first half
for (int i = 0; i < keys.Length / 2; i++)
{
if (swiss.TryGet(keys[i], out nint value)) {
sum += value;
}
}
// remove first half (eviction)
for (int i = 0; i < keys.Length / 2; i++)
{
swiss.TryRemove(keys[i], out _);
}
// lookup all (half hit, half miss)
for (int i = 0; i < keys.Length; i++)
{
if (swiss.TryGet(keys[i], out nint value)) {
sum += value;
}
}
return sum;
}
}
}