---
title: "Random Forest ML on GPU"
url: https://daily.dev/posts/random-forest-ml-on-gpu-hdywpavnj
source_url: https://deterministic.space/gpu-random-forest-ml.html
type: article
source: "Pascal’s scribbles"
published: 2026-04-17T12:20:54.572Z
updated: 2026-04-17T12:21:16.920Z
tags: ["rust", "biotech", "random-forest"]
reading_time: 11
upvotes: 0
comments: 0
language: en
---

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# Random Forest ML on GPU

**[Pascal’s scribbles](https://daily.dev/sources/deterministicspace)** · 11 min read · 0 upvotes · 0 comments

## Summary

A deep technical walkthrough of accelerating Random Forest ML inference on a GPU for Rastair, a bioinformatics variant and methylation caller. The post covers why Random Forests are used for ambiguous genomic position classification, how the tree data structure was flattened into a GPU-friendly BFS array layout with a 16-byte node struct, and how two WGSL compute shaders (traverse and reduce) handle inference. It also details multithreading with Rayon, pipelined GPU submission across three models, f32 precision verification, and a zero-copy unified memory optimization for Apple Silicon via wgpu's MAPPABLE_PRIMARY_BUFFERS feature.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://deterministic.space/gpu-random-forest-ml.html>

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---

Tags: [#rust](https://daily.dev/tags/rust), [#biotech](https://daily.dev/tags/biotech), [#random-forest](https://daily.dev/tags/random-forest)

[View this post on daily.dev](https://daily.dev/posts/random-forest-ml-on-gpu-hdywpavnj)