WyHash 1.0.0
See the version list below for details.
dotnet add package WyHash --version 1.0.0
NuGet\Install-Package WyHash -Version 1.0.0
<PackageReference Include="WyHash" Version="1.0.0" />
paket add WyHash --version 1.0.0
#r "nuget: WyHash, 1.0.0"
// Install WyHash as a Cake Addin #addin nuget:?package=WyHash&version=1.0.0 // Install WyHash as a Cake Tool #tool nuget:?package=WyHash&version=1.0.0
wyhash-dotnet
Zero-allocation C# implementation of Wang Yi's 64-bit wyhash hash algorithm and wyrand PRNG.
wyhash is an extremely fast, portable hashing algorithm, and passes all of the SMHasher tests (which evaluates collision, dispersion and randomness qualities of hash functions).
Getting Started
Install the WyHash package from NuGet:
Install-Package WyHash
WyHash implements HashAlgorithm, so can be integrated into existing projects easily:
var seed = 42;
var hasher = WyHash64.Create(seed);
var result = hasher.ComputeHash(myData);
A common use case is getting the resulting hash as a 64-bit unsigned integer (ulong
), so a static convenience method is also provided:
// Note that if no seed is specified, it default to 0
var seed = 42;
var result = WyHash64.ComputeHash64(myData, seed);
The wyrand PRNG is also implemented:
var rng = new WyRng(42);
// Generate pseudorandom values
ulong a64BitVal = rng.NextLong();
uint a32BitVal = rng.Next();
// Fill a buffer with pseudorandom bytes
var buffer = new byte[256];
rng.NextBytes(buffer);
// Span is also supported
Span<byte> spanBuffer = stackalloc byte[128];
rng.NextBytes(spanBuffer);
Performance & Future Work
At present (April 2019), wyhash is the fastest algorithm in the SMHasher benchmark.
On a dev laptop with 64GB RAM and an Intel Xeon CPU E3-1545M v5 2.90GHz CPU, this implementation can process data at a rate of around 3GB/s, which is very fast.
Note that PInvoke
ing into a native DLL built using the reference C code (see the WyHash.Native
project) achieves around 10.8GB/s, so there is still work to do to bridge the performance gap.
The bottleneck is 64-bit integer multiplication, as .NET doesn't yet support intrinsics, which would allow performing 64x64 multiplication in a single instruction on supported platforms. Work on this is ongoing by the .NET team, and is expected to land in .NET Core 3.0 - support is unlikely to make it into the .NET Framework though. I expected that using instructions such as BMI2 MULX
or SSE4.1 PMULLD
will get this implementation running at roughly the same speeds as the C reference code (that is, more or less RAM SPEED)
Latest benchmarks (DataSize
is the size of data hashed, in bytes):
BenchmarkDotNet=v0.11.5, OS=Windows 7 SP1 (6.1.7601.0)
Intel Xeon CPU E3-1545M v5 2.90GHz, 1 CPU, 8 logical and 4 physical cores
Frequency=2836132 Hz, Resolution=352.5929 ns, Timer=TSC
.NET Core SDK=2.2.105
[Host] : .NET Core 2.2.3 (CoreCLR 4.6.27414.05, CoreFX 4.6.27414.05), 64bit RyuJIT
Core : .NET Core 2.2.3 (CoreCLR 4.6.27414.05, CoreFX 4.6.27414.05), 64bit RyuJIT
Job=Core Runtime=Core
Method | DataSize | Mean | Error | StdDev | Median | Min | Max | Ratio | RatioSD | Rank | Gen 0 | Gen 1 | Gen 2 | Allocated |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TestXxHash | 100 | 20.40 ns | 0.4396 ns | 0.3671 ns | 20.48 ns | 19.71 ns | 20.92 ns | 0.48 | 0.02 | 2 | - | - | - | - |
TestXxHashNative | 100 | 24.53 ns | 0.5409 ns | 0.5313 ns | 24.43 ns | 23.95 ns | 25.71 ns | 0.58 | 0.02 | 3 | - | - | - | - |
TestWyHashNative | 100 | 18.96 ns | 0.0906 ns | 0.0757 ns | 18.95 ns | 18.85 ns | 19.12 ns | 0.44 | 0.01 | 1 | - | - | - | - |
TestWyHash | 100 | 40.53 ns | 0.8427 ns | 1.6829 ns | 39.59 ns | 39.13 ns | 44.56 ns | 1.00 | 0.00 | 4 | - | - | - | - |
TestXxHash | 1024 | 99.90 ns | 0.7521 ns | 0.6667 ns | 99.74 ns | 99.06 ns | 101.42 ns | 0.32 | 0.01 | 3 | - | - | - | - |
TestXxHashNative | 1024 | 98.04 ns | 2.2641 ns | 3.2471 ns | 96.98 ns | 93.90 ns | 105.07 ns | 0.31 | 0.01 | 2 | - | - | - | - |
TestWyHashNative | 1024 | 78.13 ns | 0.6726 ns | 0.5963 ns | 78.04 ns | 77.34 ns | 79.58 ns | 0.25 | 0.01 | 1 | - | - | - | - |
TestWyHash | 1024 | 313.00 ns | 6.1691 ns | 8.6482 ns | 310.51 ns | 302.29 ns | 328.01 ns | 1.00 | 0.00 | 4 | - | - | - | - |
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net461 was computed. net462 is compatible. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETFramework 4.6.2
- System.Memory (>= 4.5.2)
-
.NETStandard 2.0
- System.Memory (>= 4.5.2)
NuGet packages (3)
Showing the top 3 NuGet packages that depend on WyHash:
Package | Downloads |
---|---|
HQ
This package contains the full-stack build for HQ.io. |
|
TypeKitchen.Reflection
TypeKitchen is a small library for fast meta-programming in .NET. |
|
TypeKitchen.Differencing
TypeKitchen is a small library for fast meta-programming in .NET. |
GitHub repositories
This package is not used by any popular GitHub repositories.