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GPU Kernels, Python DSL, CUDA Alternative, Performance Optimization

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Scoured 3041 posts in 50.7 ms
Show HN: C discrete event SIM w stackful coroutines runs 45x faster than SimPy
github.com·21h·
Discuss: Hacker News
🦀Rust
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WebGPU Compute Shaders
webgpufundamentals.org·4h
🚀CUDA Kernels
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The Linux graphics stack in a nutshell, part 1
lwn.net·3h·
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🚀CUDA Kernels
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Anthropic's Performance Take-Home: A 65x Optimization (For Dummies)
ikot.blog·22h·
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📱Edge AI
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The Heartbeat of Tetris 🟥🟥🟥🟥: What a 1x1 Pixel Taught Me About Concurrency
qianarthurwang.substack.com·20h·
Discuss: r/programming
🦀Rust
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Claude Code's renderer is more complex than a game engine
spader.zone·1d·
Discuss: Hacker News
🦀Rust
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Understanding LLM Inference Engines: Inside Nano-vLLM (Part 1)
neutree.ai·2d·
Discuss: Hacker News, r/programming
🔧Hardware
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Sandboxing AI Agents in Linux
blog.senko.net·21h·
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🦀Rust
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Using Nsight Compute with large codebases - Part 2 : Profiling large code bases
blog.ncompass.tech·20h·
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🚀CUDA Kernels
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Why we built ModelRift on OpenSCAD
modelrift.com·47m·
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📐CAD
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Intel Panther Lake Shows Strong Linux CPU Performance & Power Efficiency With Core Ultra X7 358H Benchmarks Review
phoronix.com·22h·
Discuss: Hacker News, r/hardware
🔧Hardware
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CloudpilotEmu
cspeckner.de·10h·
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🔧Hardware
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Wirth's Revenge
jmoiron.net·48m·
Discuss: Lobsters, Hacker News
📱Edge AI
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Qwen3-Coder-Next: How to Run Locally
unsloth.ai·19h·
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🤖llm
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a Pingora-based reverse proxy (inspired by River)
sentinel.raskell.io·5h·
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🕸️Mesh Networks
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DaguangZhou/TitanShell: 🦾 Advanced tactical desktop client for OpenClaw — Secure, fast, and beautiful
github.com·5h·
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🦀Rust
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Taking on Anthropic's Public Performance Engineering Interview Challenge
matthewtejo.substack.com·11h·
Discuss: r/programming
🏋️Isaac Gym
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A Map of ML Hardware Architectural Trade-Offs
vbml.substack.com·3d·
Discuss: Substack
📱Edge AI
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A Quick Introduction to OxCaml
noelwelsh.com·1h·
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🦀Rust
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A Quick Look at QUIC
potaroo.net·18h·
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🕸️Mesh Networks
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