Rasagar/Library/PackageCache/com.unity.collections/Unity.Collections.PerformanceTests/ParallelHashSetPerformanceTests.cs
2024-08-26 23:07:20 +03:00

803 lines
31 KiB
C#

using NUnit.Framework;
using UnityEngine;
using Unity.Collections.LowLevel.Unsafe;
using Unity.PerformanceTesting;
using Unity.PerformanceTesting.Benchmark;
using System.Runtime.CompilerServices;
using System.Threading;
namespace Unity.Collections.PerformanceTests
{
static class ParallelHashSetUtil
{
static public void AllocInt(ref NativeParallelHashSet<int> container, int capacity, bool addValues)
{
if (capacity >= 0)
{
Random.InitState(0);
container = new NativeParallelHashSet<int>(capacity, Allocator.Persistent);
if (addValues)
{
for (int i = 0; i < capacity; i++)
container.Add(i);
}
}
else
container.Dispose();
}
static public void AllocInt(ref NativeParallelHashSet<int> containerA, ref NativeParallelHashSet<int> containerB, int capacity, bool addValues)
{
AllocInt(ref containerA, capacity, false);
AllocInt(ref containerB, capacity, false);
if (!addValues)
return;
for (int i = 0; i < capacity; i++)
{
containerA.Add(Random.Range(0, capacity * 2));
containerB.Add(Random.Range(0, capacity * 2));
}
}
static public void AllocInt(ref UnsafeParallelHashSet<int> container, int capacity, bool addValues)
{
if (capacity >= 0)
{
Random.InitState(0);
container = new UnsafeParallelHashSet<int>(capacity, Allocator.Persistent);
if (addValues)
{
for (int i = 0; i < capacity; i++)
container.Add(i);
}
}
else
container.Dispose();
}
static public void AllocInt(ref UnsafeParallelHashSet<int> containerA, ref UnsafeParallelHashSet<int> containerB, int capacity, bool addValues)
{
AllocInt(ref containerA, capacity, false);
AllocInt(ref containerB, capacity, false);
if (!addValues)
return;
for (int i = 0; i < capacity; i++)
{
containerA.Add(Random.Range(0, capacity * 2));
containerB.Add(Random.Range(0, capacity * 2));
}
}
static public object AllocBclContainer(int capacity, bool addValues)
{
if (capacity < 0)
return null;
Random.InitState(0);
var bclContainer = new FakeConcurrentHashSet<int>();
if (addValues)
{
for (int i = 0; i < capacity; i++)
bclContainer.Add(i);
}
return bclContainer;
}
static public object AllocBclContainerTuple(int capacity, bool addValues)
{
var tuple = new System.Tuple<FakeConcurrentHashSet<int>, FakeConcurrentHashSet<int>>(
(FakeConcurrentHashSet<int>)AllocBclContainer(capacity, false),
(FakeConcurrentHashSet<int>)AllocBclContainer(capacity, false));
if (addValues)
{
for (int i = 0; i < capacity; i++)
{
tuple.Item1.Add(Random.Range(0, capacity * 2));
tuple.Item2.Add(Random.Range(0, capacity * 2));
}
}
return tuple;
}
static public void CreateRandomKeys(int capacity, ref UnsafeList<int> keys)
{
if (!keys.IsCreated)
{
keys = new UnsafeList<int>(capacity, Allocator.Persistent);
Random.InitState(0);
for (int i = 0; i < capacity; i++)
{
int randKey = Random.Range(0, capacity);
keys.Add(randKey);
}
}
else
keys.Dispose();
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
static public void SplitForWorkers(int count, int worker, int workers, out int startInclusive, out int endExclusive)
{
startInclusive = count * worker / workers;
endExclusive = count * (worker + 1) / workers;
}
}
// A generic HashSet with a lock is generally recommended as most performant way to obtain a thread safe HashSet in C#.
internal class FakeConcurrentHashSet<T> : System.IDisposable
{
private readonly ReaderWriterLockSlim m_Lock = new ReaderWriterLockSlim(LockRecursionPolicy.SupportsRecursion);
private readonly System.Collections.Generic.HashSet<T> m_HashSet = new System.Collections.Generic.HashSet<T>();
~FakeConcurrentHashSet() => Dispose(false);
public bool Add(T item)
{
m_Lock.EnterWriteLock();
try
{
return m_HashSet.Add(item);
}
finally
{
if (m_Lock.IsWriteLockHeld)
m_Lock.ExitWriteLock();
}
}
public void Clear()
{
m_Lock.EnterWriteLock();
try
{
m_HashSet.Clear();
}
finally
{
if (m_Lock.IsWriteLockHeld)
m_Lock.ExitWriteLock();
}
}
public bool Contains(T item)
{
m_Lock.EnterReadLock();
try
{
return m_HashSet.Contains(item);
}
finally
{
if (m_Lock.IsReadLockHeld)
m_Lock.ExitReadLock();
}
}
public bool Remove(T item)
{
m_Lock.EnterWriteLock();
try
{
return m_HashSet.Remove(item);
}
finally
{
if (m_Lock.IsWriteLockHeld)
m_Lock.ExitWriteLock();
}
}
public int Count
{
get
{
m_Lock.EnterReadLock();
try
{
return m_HashSet.Count;
}
finally
{
if (m_Lock.IsReadLockHeld)
m_Lock.ExitReadLock();
}
}
}
public void CopyTo(T[] array)
{
m_Lock.EnterReadLock();
try
{
m_HashSet.CopyTo(array);
}
finally
{
if (m_Lock.IsReadLockHeld)
m_Lock.ExitReadLock();
}
}
public System.Collections.Generic.HashSet<T>.Enumerator GetEnumerator()
{
m_Lock.EnterReadLock();
try
{
return m_HashSet.GetEnumerator();
}
finally
{
if (m_Lock.IsReadLockHeld)
m_Lock.ExitReadLock();
}
}
public void UnionWith(FakeConcurrentHashSet<T> other)
{
m_Lock.EnterReadLock();
try
{
m_HashSet.UnionWith(other.m_HashSet);
}
finally
{
if (m_Lock.IsReadLockHeld)
m_Lock.ExitReadLock();
}
}
public void IntersectWith(FakeConcurrentHashSet<T> other)
{
m_Lock.EnterReadLock();
try
{
m_HashSet.IntersectWith(other.m_HashSet);
}
finally
{
if (m_Lock.IsReadLockHeld)
m_Lock.ExitReadLock();
}
}
public void ExceptWith(FakeConcurrentHashSet<T> other)
{
m_Lock.EnterReadLock();
try
{
m_HashSet.ExceptWith(other.m_HashSet);
}
finally
{
if (m_Lock.IsReadLockHeld)
m_Lock.ExitReadLock();
}
}
public void Dispose()
{
Dispose(true);
System.GC.SuppressFinalize(this);
}
protected virtual void Dispose(bool disposing)
{
if (disposing && m_Lock != null)
m_Lock.Dispose();
}
}
struct ParallelHashSetIsEmpty100k : IBenchmarkContainerParallel
{
const int kIterations = 100_000;
int workers;
NativeParallelHashSet<int> nativeContainer;
UnsafeParallelHashSet<int> unsafeContainer;
void IBenchmarkContainerParallel.SetParams(int capacity, params int[] args) => workers = args[0];
public void AllocNativeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref nativeContainer, capacity, true);
public void AllocUnsafeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref unsafeContainer, capacity, true);
public object AllocBclContainer(int capacity) => ParallelHashSetUtil.AllocBclContainer(capacity, true);
[MethodImpl(MethodImplOptions.NoOptimization)]
public void MeasureNativeContainer(int worker, int threadIndex)
{
var reader = nativeContainer.AsReadOnly();
ParallelHashSetUtil.SplitForWorkers(kIterations, worker, workers, out int start, out int end);
for (int i = start; i < end; i++)
_ = reader.IsEmpty;
}
[MethodImpl(MethodImplOptions.NoOptimization)]
public void MeasureUnsafeContainer(int worker, int threadIndex)
{
ParallelHashSetUtil.SplitForWorkers(kIterations, worker, workers, out int start, out int end);
for (int i = start; i < end; i++)
_ = unsafeContainer.IsEmpty;
}
[MethodImpl(MethodImplOptions.NoOptimization)]
public void MeasureBclContainer(object container, int worker)
{
var bclContainer = (FakeConcurrentHashSet<int>)container;
ParallelHashSetUtil.SplitForWorkers(kIterations, worker, workers, out int start, out int end);
for (int i = start; i < end; i++)
_ = bclContainer.Count == 0;
}
}
struct ParallelHashSetCount100k : IBenchmarkContainerParallel
{
const int kIterations = 100_000;
int workers;
NativeParallelHashSet<int> nativeContainer;
UnsafeParallelHashSet<int> unsafeContainer;
void IBenchmarkContainerParallel.SetParams(int capacity, params int[] args) => workers = args[0];
public void AllocNativeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref nativeContainer, capacity, true);
public void AllocUnsafeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref unsafeContainer, capacity, true);
public object AllocBclContainer(int capacity) => ParallelHashSetUtil.AllocBclContainer(capacity, true);
[MethodImpl(MethodImplOptions.NoOptimization)]
public void MeasureNativeContainer(int worker, int threadIndex)
{
var reader = nativeContainer.AsReadOnly();
ParallelHashSetUtil.SplitForWorkers(kIterations, worker, workers, out int start, out int end);
for (int i = start; i < end; i++)
_ = reader.Count();
}
[MethodImpl(MethodImplOptions.NoOptimization)]
public void MeasureUnsafeContainer(int worker, int threadIndex)
{
ParallelHashSetUtil.SplitForWorkers(kIterations, worker, workers, out int start, out int end);
for (int i = start; i < end; i++)
_ = unsafeContainer.Count();
}
[MethodImpl(MethodImplOptions.NoOptimization)]
public void MeasureBclContainer(object container, int worker)
{
var bclContainer = (FakeConcurrentHashSet<int>)container;
ParallelHashSetUtil.SplitForWorkers(kIterations, worker, workers, out int start, out int end);
for (int i = start; i < end; i++)
_ = bclContainer.Count;
}
}
struct ParallelHashSetToNativeArray : IBenchmarkContainerParallel
{
NativeParallelHashSet<int> nativeContainer;
UnsafeParallelHashSet<int> unsafeContainer;
public void AllocNativeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref nativeContainer, capacity, true);
public void AllocUnsafeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref unsafeContainer, capacity, true);
public object AllocBclContainer(int capacity) => ParallelHashSetUtil.AllocBclContainer(capacity, true);
public void MeasureNativeContainer(int worker, int threadIndex)
{
var asArray = nativeContainer.ToNativeArray(Allocator.Temp);
asArray.Dispose();
}
public void MeasureUnsafeContainer(int worker, int threadIndex)
{
var asArray = unsafeContainer.ToNativeArray(Allocator.Temp);
asArray.Dispose();
}
public void MeasureBclContainer(object container, int worker)
{
var bclContainer = (FakeConcurrentHashSet<int>)container;
int[] asArray = new int[bclContainer.Count];
bclContainer.CopyTo(asArray);
}
}
struct ParallelHashSetInsert : IBenchmarkContainerParallel
{
int capacity;
int workers;
NativeParallelHashSet<int> nativeContainer;
UnsafeParallelHashSet<int> unsafeContainer;
void IBenchmarkContainerParallel.SetParams(int capacity, params int[] args)
{
this.capacity = capacity;
workers = args[0];
}
public void AllocNativeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref nativeContainer, capacity, false);
public void AllocUnsafeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref unsafeContainer, capacity, false);
public object AllocBclContainer(int capacity) => ParallelHashSetUtil.AllocBclContainer(capacity, false);
public void MeasureNativeContainer(int worker, int threadIndex)
{
var writer = nativeContainer.AsParallelWriter();
ParallelHashSetUtil.SplitForWorkers(capacity, worker, workers, out int start, out int end);
for (int i = start; i < end; i++)
writer.Add(i, threadIndex);
}
public void MeasureUnsafeContainer(int worker, int threadIndex)
{
var writer = unsafeContainer.AsParallelWriter();
ParallelHashSetUtil.SplitForWorkers(capacity, worker, workers, out int start, out int end);
for (int i = start; i < end; i++)
writer.Add(i, threadIndex);
}
public void MeasureBclContainer(object container, int worker)
{
var bclContainer = (FakeConcurrentHashSet<int>)container;
ParallelHashSetUtil.SplitForWorkers(capacity, worker, workers, out int start, out int end);
for (int i = start; i < end; i++)
bclContainer.Add(i);
}
}
struct ParallelHashSetAddGrow : IBenchmarkContainerParallel
{
int capacity;
int toAdd;
NativeParallelHashSet<int> nativeContainer;
UnsafeParallelHashSet<int> unsafeContainer;
void IBenchmarkContainerParallel.SetParams(int capacity, params int[] args)
{
this.capacity = capacity;
toAdd = args[0] - capacity;
}
public void AllocNativeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref nativeContainer, capacity, true);
public void AllocUnsafeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref unsafeContainer, capacity, true);
public object AllocBclContainer(int capacity) => ParallelHashSetUtil.AllocBclContainer(capacity, true);
public void MeasureNativeContainer(int _, int __)
{
// Intentionally setting capacity small and growing by adding more items
for (int i = capacity; i < capacity + toAdd; i++)
nativeContainer.Add(i);
}
public void MeasureUnsafeContainer(int _, int __)
{
// Intentionally setting capacity small and growing by adding more items
for (int i = capacity; i < capacity + toAdd; i++)
unsafeContainer.Add(i);
}
public void MeasureBclContainer(object container, int _)
{
var bclContainer = (FakeConcurrentHashSet<int>)container;
// Intentionally setting capacity small and growing by adding more items
for (int i = capacity; i < capacity + toAdd; i++)
bclContainer.Add(i);
}
}
struct ParallelHashSetContains : IBenchmarkContainerParallel
{
int capacity;
int workers;
NativeParallelHashSet<int> nativeContainer;
UnsafeParallelHashSet<int> unsafeContainer;
UnsafeList<int> keys;
void IBenchmarkContainerParallel.SetParams(int capacity, params int[] args)
{
this.capacity = capacity;
workers = args[0];
}
public void AllocNativeContainer(int capacity)
{
ParallelHashSetUtil.AllocInt(ref nativeContainer, capacity, false);
ParallelHashSetUtil.CreateRandomKeys(capacity, ref keys);
for (int i = 0; i < capacity; i++)
nativeContainer.Add(keys[i]);
}
public void AllocUnsafeContainer(int capacity)
{
ParallelHashSetUtil.AllocInt(ref unsafeContainer, capacity, false);
ParallelHashSetUtil.CreateRandomKeys(capacity, ref keys);
for (int i = 0; i < capacity; i++)
unsafeContainer.Add(keys[i]);
}
public object AllocBclContainer(int capacity)
{
object container = ParallelHashSetUtil.AllocBclContainer(capacity, false);
var bclContainer = (FakeConcurrentHashSet<int>)container;
ParallelHashSetUtil.CreateRandomKeys(capacity, ref keys);
for (int i = 0; i < capacity; i++)
bclContainer.Add(keys[i]);
return container;
}
public void MeasureNativeContainer(int worker, int threadIndex)
{
var reader = nativeContainer.AsReadOnly();
ParallelHashSetUtil.SplitForWorkers(capacity, worker, workers, out int start, out int end);
bool data = false;
for (int i = start; i < end; i++)
Volatile.Write(ref data, reader.Contains(keys[i]));
}
public void MeasureUnsafeContainer(int worker, int threadIndex)
{
ParallelHashSetUtil.SplitForWorkers(capacity, worker, workers, out int start, out int end);
bool data = false;
for (int i = start; i < end; i++)
Volatile.Write(ref data, unsafeContainer.Contains(keys[i]));
}
public void MeasureBclContainer(object container, int worker)
{
var bclContainer = (FakeConcurrentHashSet<int>)container;
ParallelHashSetUtil.SplitForWorkers(capacity, worker, workers, out int start, out int end);
bool data = false;
for (int i = start; i < end; i++)
Volatile.Write(ref data, bclContainer.Contains(keys[i]));
}
}
struct ParallelHashSetRemove : IBenchmarkContainerParallel
{
NativeParallelHashSet<int> nativeContainer;
UnsafeParallelHashSet<int> unsafeContainer;
UnsafeList<int> keys;
public void AllocNativeContainer(int capacity)
{
ParallelHashSetUtil.AllocInt(ref nativeContainer, capacity, false);
ParallelHashSetUtil.CreateRandomKeys(capacity, ref keys);
for (int i = 0; i < capacity; i++)
nativeContainer.Add(keys[i]);
}
public void AllocUnsafeContainer(int capacity)
{
ParallelHashSetUtil.AllocInt(ref unsafeContainer, capacity, false);
ParallelHashSetUtil.CreateRandomKeys(capacity, ref keys);
for (int i = 0; i < capacity; i++)
unsafeContainer.Add(keys[i]);
}
public object AllocBclContainer(int capacity)
{
object container = ParallelHashSetUtil.AllocBclContainer(capacity, false);
var bclContainer = (FakeConcurrentHashSet<int>)container;
ParallelHashSetUtil.CreateRandomKeys(capacity, ref keys);
for (int i = 0; i < capacity; i++)
bclContainer.Add(keys[i]);
return container;
}
public void MeasureNativeContainer(int worker, int threadIndex)
{
int insertions = keys.Length;
for (int i = 0; i < insertions; i++)
nativeContainer.Remove(keys[i]);
}
public void MeasureUnsafeContainer(int worker, int threadIndex)
{
int insertions = keys.Length;
for (int i = 0; i < insertions; i++)
unsafeContainer.Remove(keys[i]);
}
public void MeasureBclContainer(object container, int worker)
{
var bclContainer = (FakeConcurrentHashSet<int>)container;
int insertions = keys.Length;
for (int i = 0; i < insertions; i++)
bclContainer.Remove(keys[i]);
}
}
struct ParallelHashSetForEach : IBenchmarkContainerParallel
{
NativeParallelHashSet<int> nativeContainer;
UnsafeParallelHashSet<int> unsafeContainer;
public void AllocNativeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref nativeContainer, capacity, true);
public void AllocUnsafeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref unsafeContainer, capacity, true);
public object AllocBclContainer(int capacity) => ParallelHashSetUtil.AllocBclContainer(capacity, true);
public void MeasureNativeContainer(int _, int __)
{
int keep = 0;
foreach (var value in nativeContainer)
Volatile.Write(ref keep, value);
}
public void MeasureUnsafeContainer(int _, int __)
{
int keep = 0;
foreach (var value in unsafeContainer)
Volatile.Write(ref keep, value);
}
public void MeasureBclContainer(object container, int _)
{
int keep = 0;
var bclContainer = (FakeConcurrentHashSet<int>)container;
foreach (var value in bclContainer)
Volatile.Write(ref keep, value);
}
}
struct ParallelHashSetUnionWith : IBenchmarkContainerParallel
{
NativeParallelHashSet<int> nativeContainer;
NativeParallelHashSet<int> nativeContainerOther;
UnsafeParallelHashSet<int> unsafeContainer;
UnsafeParallelHashSet<int> unsafeContainerOther;
public int total;
public void AllocNativeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref nativeContainer, ref nativeContainerOther, capacity, true);
public void AllocUnsafeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref unsafeContainer, ref unsafeContainerOther, capacity, true);
public object AllocBclContainer(int capacity) => ParallelHashSetUtil.AllocBclContainerTuple(capacity, true);
public void MeasureNativeContainer(int _, int __) => nativeContainer.UnionWith(nativeContainerOther);
public void MeasureUnsafeContainer(int _, int __) => unsafeContainer.UnionWith(unsafeContainerOther);
public void MeasureBclContainer(object container, int _)
{
var dotnetContainer = (System.Tuple<FakeConcurrentHashSet<int>, FakeConcurrentHashSet<int>>)container;
dotnetContainer.Item1.UnionWith(dotnetContainer.Item2);
}
}
struct ParallelHashSetIntersectWith : IBenchmarkContainerParallel
{
NativeParallelHashSet<int> nativeContainer;
NativeParallelHashSet<int> nativeContainerOther;
UnsafeParallelHashSet<int> unsafeContainer;
UnsafeParallelHashSet<int> unsafeContainerOther;
public int total;
public void AllocNativeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref nativeContainer, ref nativeContainerOther, capacity, true);
public void AllocUnsafeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref unsafeContainer, ref unsafeContainerOther, capacity, true);
public object AllocBclContainer(int capacity) => ParallelHashSetUtil.AllocBclContainerTuple(capacity, true);
public void MeasureNativeContainer(int _, int __) => nativeContainer.IntersectWith(nativeContainerOther);
public void MeasureUnsafeContainer(int _, int __) => unsafeContainer.IntersectWith(unsafeContainerOther);
public void MeasureBclContainer(object container, int _)
{
var dotnetContainer = (System.Tuple<FakeConcurrentHashSet<int>, FakeConcurrentHashSet<int>>)container;
dotnetContainer.Item1.IntersectWith(dotnetContainer.Item2);
}
}
struct ParallelHashSetExceptWith : IBenchmarkContainerParallel
{
NativeParallelHashSet<int> nativeContainer;
NativeParallelHashSet<int> nativeContainerOther;
UnsafeParallelHashSet<int> unsafeContainer;
UnsafeParallelHashSet<int> unsafeContainerOther;
public int total;
public void AllocNativeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref nativeContainer, ref nativeContainerOther, capacity, true);
public void AllocUnsafeContainer(int capacity) => ParallelHashSetUtil.AllocInt(ref unsafeContainer, ref unsafeContainerOther, capacity, true);
public object AllocBclContainer(int capacity) => ParallelHashSetUtil.AllocBclContainerTuple(capacity, true);
public void MeasureNativeContainer(int _, int __) => nativeContainer.ExceptWith(nativeContainerOther);
public void MeasureUnsafeContainer(int _, int __) => unsafeContainer.ExceptWith(unsafeContainerOther);
public void MeasureBclContainer(object container, int _)
{
var dotnetContainer = (System.Tuple<FakeConcurrentHashSet<int>, FakeConcurrentHashSet<int>>)container;
dotnetContainer.Item1.ExceptWith(dotnetContainer.Item2);
}
}
[Benchmark(typeof(BenchmarkContainerType))]
[BenchmarkNameOverride(BenchmarkContainerConfig.BCL, "HashSet w/lock")]
class ParallelHashSet
{
#if UNITY_EDITOR
[UnityEditor.MenuItem(BenchmarkContainerConfig.kMenuItemIndividual + nameof(ParallelHashSet))]
static void RunIndividual()
=> BenchmarkContainerConfig.RunBenchmark(typeof(ParallelHashSet));
#endif
[Test, Performance]
[Category("Performance")]
public unsafe void IsEmpty_x_100k(
[Values(1, 2, 4)] int workers,
[Values(0, 100)] int capacity,
[Values] BenchmarkContainerType type)
{
BenchmarkContainerRunnerParallel<ParallelHashSetIsEmpty100k>.Run(workers, capacity, type, workers);
}
[Test, Performance]
[Category("Performance")]
public unsafe void Count_x_100k(
[Values(1, 2, 4)] int workers,
[Values(0, 100)] int capacity,
[Values] BenchmarkContainerType type)
{
BenchmarkContainerRunnerParallel<ParallelHashSetCount100k>.Run(workers, capacity, type, workers);
}
[Test, Performance]
[Category("Performance")]
public unsafe void ToNativeArray(
[Values(1)] int workers,
[Values(10000, 100000, 1000000)] int capacity,
[Values] BenchmarkContainerType type)
{
BenchmarkContainerRunnerParallel<ParallelHashSetToNativeArray>.Run(workers, capacity, type);
}
[Test, Performance]
[Category("Performance")]
public unsafe void Insert(
[Values(1, 2, 4)] int workers,
#if UNITY_STANDALONE || UNITY_EDITOR
[Values(10000, 100000, 1000000)] int insertions,
#else
[Values(10000, 100000)] int insertions, // Observe potential lower memory requirement on non-desktop platforms
#endif
[Values] BenchmarkContainerType type)
{
BenchmarkContainerRunnerParallel<ParallelHashSetInsert>.Run(workers, insertions, type, workers);
}
[Test, Performance]
[Category("Performance")]
[BenchmarkTestFootnote("Incrementally grows from `capacity` until reaching size of `growTo`")]
public unsafe void AddGrow(
[Values(1)] int workers, // Can't grow capacity in parallel
[Values(4, 65536)] int capacity,
[Values(1024 * 1024)] int growTo,
[Values] BenchmarkContainerType type)
{
BenchmarkContainerRunnerParallel<ParallelHashSetAddGrow>.Run(workers, capacity, type, growTo);
}
[Test, Performance]
[Category("Performance")]
public unsafe void Contains(
[Values(1, 2, 4)] int workers,
#if UNITY_STANDALONE || UNITY_EDITOR
[Values(10000, 100000, 1000000)] int insertions,
#else
[Values(10000, 100000)] int insertions, // Observe potential lower memory requirement on non-desktop platforms
#endif
[Values] BenchmarkContainerType type)
{
BenchmarkContainerRunnerParallel<ParallelHashSetContains>.Run(workers, insertions, type, workers);
}
[Test, Performance]
[Category("Performance")]
public unsafe void Remove(
[Values(1)] int workers, // No API for ParallelWriter.TryRemove currently
[Values(10000, 100000, 1000000)] int insertions,
[Values] BenchmarkContainerType type)
{
BenchmarkContainerRunnerParallel<ParallelHashSetRemove>.Run(workers, insertions, type, workers);
}
[Test, Performance]
[Category("Performance")]
public unsafe void Foreach(
[Values(1)] int workers, // This work can't be split
[Values(10000, 100000, 1000000)] int insertions,
[Values] BenchmarkContainerType type)
{
BenchmarkContainerRunnerParallel<ParallelHashSetForEach>.Run(workers, insertions, type, workers);
}
[Test, Performance]
[Category("Performance")]
public unsafe void UnionWith(
[Values(1)] int workers, // This work is already split and unrelated to the parallelism of the container
[Values(10000, 100000, 1000000)] int insertions,
[Values] BenchmarkContainerType type)
{
BenchmarkContainerRunnerParallel<ParallelHashSetUnionWith>.Run(workers, insertions, type);
}
[Test, Performance]
[Category("Performance")]
public unsafe void IntersectWith(
[Values(1)] int workers, // This work is already split and unrelated to the parallelism of the container
[Values(10000, 100000, 1000000)] int insertions,
[Values] BenchmarkContainerType type)
{
BenchmarkContainerRunnerParallel<ParallelHashSetIntersectWith>.Run(workers, insertions, type);
}
[Test, Performance]
[Category("Performance")]
public unsafe void ExceptWith(
[Values(1)] int workers, // This work is already split and unrelated to the parallelism of the container
[Values(10000, 100000, 1000000)] int insertions,
[Values] BenchmarkContainerType type)
{
BenchmarkContainerRunnerParallel<ParallelHashSetExceptWith>.Run(workers, insertions, type);
}
}
}