Skip to content

A cross-platform implementation of the SIMD framework on Swift (macOS, iOS, Linux, Windows, etc.)

License

Notifications You must be signed in to change notification settings

pierlo/kvSIMD.swift

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

22 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

kvSIMD.swift

kvSIMD.swift is a cross-platform vectorization-friendly implementation of the SIMD framework interface on Swift.

Structure of package is designed to import kvSIMD.swift via import simd expression when the SIMD framework is unavailable. So import simd expression imports the SIMD framework if available and kvSIMD.swift otherwise.

kvSIMD.swift is covered by unit-tests.

Simple benchmark console application is provided. It's in /Benchmark directory. Benchmark runs on platforms where the SIMD framework is available. Recent report is available at /Benchmark/report.md path.

Supported Platforms

There are no explicit restrictions for any platform. So it's assumed that kvSIMD.swift is compiled on any platform Swift is available on. Package is built on macOS, Linux (Ubuntu 22.04) and Windows (10 x64).

Getting Started

Package Dependencies:

.package(url: "https://github.com/keyvariable/kvSIMD.swift.git", from: "1.0.3")

Target Dependencies:

.product(name: "kvSIMD", package: "kvSIMD.swift")

Import:

import simd

SIMD

SIMD means «single instruction, multiple data». On CPUs it's a set or instructions taking tuples of values and processing them at once and various related instructions. Transformation of regular code to SIMD-compatible is called vectorization. Modern compilers vectorize code well but the result still depends on the code style and the developer's skills. So it's good to explicitly organize data using SIMD-compatible types and use the related functions.

Examples

Let v is a Float value and it's needed to find 2∙v, 4∙v, 8∙v and 16∙v. It can be done this way:

let product = simd_float4(repeating: v) * [ 2, 4, 8, 16 ]

Let n is a normal of a plane in 3D space, d is the distance from the plane to the origin. Then function returning a boolean value indicating whether v point is on the plane with eps accuracy can be implemented this way:

func IsPoint(_ v: simd_float3, on plane: simd_float4, eps: Float) -> Bool {
    abs(simd_dot(simd_float4(v, 1), plane)) < eps
}

Note that plane is represented as a simd_float4 value: first three elements are n, fourth component is d. Plane can be produced from (nx, ny, nz) components of normal and d this way:

func MakePlane(nx: Float, ny: Float, nz: Float, d: Float) -> simd_float4 {
    simd_float4(nx, ny, nz, d)
}

Authors

About

A cross-platform implementation of the SIMD framework on Swift (macOS, iOS, Linux, Windows, etc.)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Swift 100.0%