WyHash 1.0.2

There is a newer version of this package available.
See the version list below for details.
dotnet add package WyHash --version 1.0.2                
NuGet\Install-Package WyHash -Version 1.0.2                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="WyHash" Version="1.0.2" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add WyHash --version 1.0.2                
#r "nuget: WyHash, 1.0.2"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install WyHash as a Cake Addin
#addin nuget:?package=WyHash&version=1.0.2

// Install WyHash as a Cake Tool
#tool nuget:?package=WyHash&version=1.0.2                

wyhash-dotnet

NuGet Build Status

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 (May 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 5.5GB/s on .NET Core 3, or 3.3GB/s on .NET Core 2 or the .NET Framework - this is very fast.

The reason for the performance improvement on .NET Core 3 is that it supports hardware intrinsics, and wyhash-dotnet uses the BMI2 MULX instruction to achieve faster 64-bit integer multiplication (on systems where BMI2 is available). Support for intrinsics won't make it into the .NET Framework, but will also be in the newly announced .NET 5.

Note that PInvokeing into a native DLL built using the reference C code (see the WyHash.Native project) achieves around 10.8GB/s (more or less RAM SPEED), so there is still work to do to bridge the performance gap between C# and native - I'm very much open to suggestions here!

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=2836064 Hz, Resolution=352.6014 ns, Timer=TSC
.NET Core SDK=3.0.100-preview4-011223
  [Host] : .NET Core 3.0.0-preview4-27615-11 (CoreCLR 4.6.27615.73, CoreFX 4.700.19.21213), 64bit RyuJIT
  Core   : .NET Core 3.0.0-preview4-27615-11 (CoreCLR 4.6.27615.73, CoreFX 4.700.19.21213), 64bit RyuJIT

Job=Core  Runtime=Core  

Method DataSize Mean Error StdDev Min Max Ratio RatioSD Rank Gen 0 Gen 1 Gen 2 Allocated
TestXxHash 100 20.84 ns 0.4168 ns 0.6964 ns 20.02 ns 22.99 ns 0.95 0.03 2 - - - -
TestXxHashNative 100 24.33 ns 0.3217 ns 0.3009 ns 23.99 ns 24.92 ns 1.10 0.02 4 - - - -
TestWyHashNative 100 18.63 ns 0.1110 ns 0.0984 ns 18.47 ns 18.87 ns 0.84 0.01 1 - - - -
TestWyHash 100 22.18 ns 0.2429 ns 0.2273 ns 21.84 ns 22.52 ns 1.00 0.00 3 - - - -
TestXxHash 1024 106.06 ns 1.0322 ns 0.9150 ns 105.25 ns 108.04 ns 0.79 0.01 3 - - - -
TestXxHashNative 1024 93.75 ns 1.9055 ns 2.1943 ns 91.79 ns 99.02 ns 0.71 0.02 2 - - - -
TestWyHashNative 1024 75.38 ns 1.1722 ns 0.9788 ns 74.37 ns 77.46 ns 0.56 0.01 1 - - - -
TestWyHash 1024 133.58 ns 2.0582 ns 1.9252 ns 131.38 ns 137.66 ns 1.00 0.00 4 - - - -
Product 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 is compatible.  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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

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GitHub repositories

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Version Downloads Last updated
1.0.5 4,648 6/16/2023
1.0.4 163,352 8/12/2019
1.0.3 51,788 7/23/2019
1.0.2 91,420 5/7/2019
1.0.1 1,016 4/23/2019
1.0.0 596 4/18/2019