#rustlang #gpu #spirv #compiler #rustgpu #programming #opensource

@rust-lang.org @vulkan.org @rusttrending.bsky.social

• 🧩 How simple Rust shaders map to SPIR-V ops
• 🔎 What storage classes, decorations & types mean in SPIR-V
• 🧬 A tour of the rust-gpu source — how it handles types & functions
• 🧠 Closing thoughts on optimizations and the SPIR-T effort

youtu.be/BWWQoVHSByQ?...

@rusttrending.bsky.social @compiler.news

If you haven’t watched Part 1, check that out first for the foundation - youtu.be/rRgYGBAhKQ0

Curious about where Rust in compiler engineering is headed? Let’s discuss! 💬

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Pliron is shaping up to be a powerful, all-Rust alternative to MLIR and could play a key role in the future of 𝗵𝗲𝘁𝗲𝗿𝗼𝗴𝗲𝗻𝗲𝗼𝘂𝘀 𝗵𝗮𝗿𝗱𝘄𝗮𝗿𝗲, 𝗚𝗣𝗨, 𝗮𝗻𝗱 𝗔𝗜 𝗰𝗼𝗺𝗽𝗶𝗹𝗲𝗿𝘀.

youtu.be/d__XhSbFNCM

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𝗪𝗵𝗮𝘁’𝘀 𝗜𝗻𝘀𝗶𝗱𝗲?
🛠️ Defining a custom IR dialect in Pliron
💡 Pliron’s interfaces vs. Type-State Programming
✅ Op verification, IR parsing, and printing
📜 Cranelift IR → Pliron IR: Step-by-step walkthrough

#apple #metal #nvidia @vulkan.org @rusttrending.bsky.social @theembeddedrust.bsky.social

This episode has quite a few insights into GPU debugging, profiling, and performance tuning—all essential skills for graphics and compute programmers.

youtu.be/2rWaAmhnkYw

⚡ 𝐂𝐔𝐃𝐀 𝐯𝐬. 𝐕𝐮𝐥𝐤𝐚𝐧 – 💭 Key differences in philosophy, flexibility, and performance.
🍏 𝐃𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 𝐕𝐮𝐥𝐤𝐚𝐧 𝐨𝐧 𝐦𝐚𝐜𝐎𝐒 – 🔍 Using MoltenVK to bypass Apple’s lack of native Vulkan support.
📊 𝐆𝐏𝐔 𝐩𝐫𝐨𝐟𝐢𝐥𝐢𝐧𝐠 – 🧐 Inspect .gputrace files to analyze workloads.
🎯 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐮𝐭𝐞 𝐜𝐨𝐦𝐦𝐚𝐧𝐝𝐬 – 🚀 How GPUs process work.

If you caught Episode 2, we talked about how GPUs process commands and how Vulkan structures communication between the CPU and GPU. Now, we’re shifting gears to:

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Pliron is still early-stage, but it’s a bold step toward pure Rust compiler frameworks. Check it out to see how Rust + Pliron can redefine compiler engineering!

@rusttrending.bsky.social @theembeddedrust.bsky.social @foundation.rust-lang.org.web.brid.gy

youtu.be/rRgYGBAhKQ0

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What’s Inside?
- MLIR’s role in modern compilers
- How Pliron brings MLIR’s concepts to Rust—no C/C++ required
- A brief hands-on look at Pliron’s core data structures, ops, types, and interfaces
- Why Rust macros make Pliron a very interesting framework.

@vulkan.org @rusttrending.bsky.social

This episode peels back the layers to show how CPUs command and control GPUs behind the scenes. If you’re curious about GPU programming or love exploring the inner workings of modern hardware, this one is for you!

#rust #gpu #programming #vulkan #compute #hardware #performance

youtu.be/m8XDoYkSJOU

Contd

- 𝐂𝐨𝐦𝐦𝐚𝐧𝐝 𝐪𝐮𝐞𝐮𝐞𝐬: How GPUs manage tasks with ring buffers.
- 𝐃𝐞𝐦𝐨: Sending a transfer command to fill a GPU buffer and debug output.

Here’s a tiny preview:

- 𝐊𝐞𝐲 𝐜𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: Application, Vulkan runtime, drivers, command queue.
- 𝐆𝐏𝐔 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬: Command processing, decoding, dispatching, scheduling.
- 𝐂𝐏𝐔-𝐆𝐏𝐔 𝐬𝐲𝐧𝐜: Efficient communication and coordination.

If you missed Episode 1, I introduced Vulkan’s modular architecture, walked through setting up Ash (Rust bindings for Vulkan’s C API), and demonstrated how to check Vulkan’s terminal output.

In Episode 2, we explore the software pipeline for GPU communication.

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In Episode 1, I’ll walk you through Vulkan’s modular architecture, show you how to set up Ash with some code, and wrap up with a demo on checking Vulkan’s terminal output.

@vulkan.org #rust #gpu #programming #api

youtu.be/TCoFGO2Lb4g