✂️ CUTLASS

CUDA Templates, Matrix Multiplication, Linear Algebra Primitives, Tensor Operations

A hitchhiker's guide to CUDA programming
seanzhang.me·1d·
Discuss: Hacker News
🎯GPU Kernels
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Rasterizer Project - Part 2: Lines and Optimization (Excited reaction)
dev.to·1d·
Discuss: DEV
🔄SIMD Programming
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Vectorizing for Fun and Performance
ibm.com·3d·
Discuss: Hacker News
🔄SIMD Programming
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Show HN: GPU-accelerated sandboxes for running AI coding agents in parallel [video]
youtube.com·1d·
Discuss: Hacker News
🔗NCCL
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Chibi Izumi: Phased dependency injection for TypeScript
github.com·18h·
Discuss: Hacker News
🔍Type Checkers
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Fungus: The Befunge CPU(2015)
bedroomlan.org·17h·
Discuss: Hacker News
⚙️Systems Programming
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Text rendering and effects using GPU-computed distances
blog.pkh.me·2h·
Discuss: Lobsters, Hacker News
🔢cuBLAS
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Cycle-accurate 6502 emulator as coroutine in Rust
github.com·4h·
Discuss: Hacker News
📊Profiling Tools
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From Lossy to Lossless Reasoning
manidoraisamy.com·1d·
Discuss: Hacker News
🤖AI Coding Tools
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Reflection for Aggregates (2020)
akrzemi1.wordpress.com·1d·
Discuss: Lobsters, Hacker News
🔍Type Checkers
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You can actually program FPGAs on a Mac now
sahasmunamala.substack.com·1h·
Discuss: r/embedded
🏗️Build Systems
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Speedrunning an RL Environment
sidb.in·8h·
Discuss: Hacker News
📜TorchScript
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I'm currently solving a problem I have with Ollama and LM Studio.
reddit.com·1d·
Discuss: r/LocalLLaMA
🔗NCCL
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Get Ready for Clojure, GPU, and AI in 2026 with CUDA 13.0
dragan.rocks·2d·
Discuss: Hacker News
⏱️CUDA Events
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CAD-3D on the Atari ST
stonetools.ghost.io·1d·
Discuss: Hacker News
📈GPU Occupancy
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6 Merged PRs, 6 Different Projects, 583 Lines of Code: My Hacktoberfest 2025 Story
dev.to·13h·
Discuss: DEV
🤖AI Coding Tools
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Opportunistically Parallel Lambda Calculus
dl.acm.org·1d·
Discuss: Hacker News
💡LSP
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Procedural world gen: connection between water terrain in chunks are failing
imgur.com·7h·
Discuss: r/godot
📈GPU Occupancy
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The next RISC-V processor frontier: AI
edn.com·1d
🧠CPU Architecture
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A Hybrid Reconstruction Framework for Efficient High-Order Shock-Capturing on Unstructured Meshes
arxiv.org·1d
🌊CUDA Streams
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