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Intro

Who this talk is for

Talk Contents

What is SIMD?

SIMD Analogy: Chopping Veggies

Why is SIMD important?

Dedicated Hardware: Skylake Example

Cache Bandwidth

The vector fallacy

Quick smell test for float SIMD-ness (x86)

Example: 3D dot products (back to basics)

Example: 3D dot products (SIMD)

SIMD mindset, contd.

So how do you get SIMD code?

LLVM's auto vectorizer

Example of successful vectorization

Explicit SIMD with Unity.Mathematics

Explicit Unity.Mathematics SIMD Example

The need for typeless SIMD

Data reinterpretation

Instruction selection

Leveraging data tricks

What we're working on

Typeless?

Do what the hardware does

API Usage Example

API Extract

A more complete example

Reference version

Reference disassembly

Let's lose the branches

Branch-free disassembly

Explicit SIMD with Unity Mathematics

Explicit Math version disassembly

Explicit SIMD with Burst Intrinsics

Explicit SIMD Disassembly

Guidelines for SIMD with Burst

What about System.Numerics?

Summary

Thank you!

Description:

Explore low-level engine development using the Burst Compiler in this 42-minute Unite Copenhagen conference talk. Dive into the expansion of Burst Compiler's capabilities, enabling complex engine and gameplay problems to be expressed in HPC# through direct CPU intrinsics. Learn about the reasoning behind this approach, implementation challenges, debugging techniques, and performance comparisons with C++ code. Gain insights into SIMD (Single Instruction, Multiple Data) concepts, their importance in modern hardware, and how to leverage them effectively. Discover techniques for explicit SIMD programming using Unity.Mathematics and Burst Intrinsics, with practical examples and disassembly comparisons. Understand data reinterpretation, instruction selection, and guidelines for optimal SIMD usage in Burst. This talk is ideal for developers interested in high-performance computing and low-level optimization techniques in game engine development.

Intrinsics - Low-Level Engine Development with Burst - Unite Copenhagen

Unity

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#Conference Talks #Unite #Computer Science #High Performance Computing #Parallel Computing #SIMD