Basic facts about GPUs
damek.github.io·6h·
Discuss: Lobsters, Hacker News
🖥️Hardware Architecture
Rust SIMD Programming: Accelerate Performance with Vectorized Instructions and Parallel Processing
dev.to·2d·
Discuss: DEV
🚀SIMD Parsing
How to Compile a Large Language Model (LLM) to RISC-V
siliscale.com·18h·
Discuss: Hacker News
🧩RISC-V Assembly
Coping with Complexity
slott56.github.io·23h
🔗Concatenative Programming
Understanding Application Performance with Roofline Modeling
towardsdatascience.com·1d
📊Performance Profiling
How to write a (software) 3D polygon pipeline (2000)
cbloom.com·2d·
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⟷Bidirectional Programming
bytecodealliance/wasm-micro-runtime
github.com·1d
⚙️WASM Runtime
TPU Deep Dive
henryhmko.github.io·9h·
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🖥️Hardware Architecture
A Novel Compiler Transformation for Fast Sparse Matrix Multiplication in GPUs
arxiv.org·3d
🧮Compute Optimization
Deep Dive into SVT-AV1's Evolution (Part 1)
wiki.x266.mov·1d·
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🎬AV1 Encoding
A Gentle Introduction to Multi-Head Attention and Grouped-Query Attention
machinelearningmastery.com·2d
🚀SIMD Text Processing
Discover C++26’s compile-time reflection
lemire.me·10h·
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🦀Rust Macros
Python Fundamentals: arrays
dev.to·12h·
Discuss: DEV
📊APL Heritage
Compiling LLMs into a MegaKernel: A Path to Low-Latency Inference
zhihaojia.medium.com·2d·
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📊Performance Profiling
Machine Learning Fundamentals: a/b testing example
dev.to·4h·
Discuss: DEV
👁️Observatory Systems
Inference Economics of Language Models
epoch.ai·21h·
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💻Local LLMs
I Solved a 7-Day Calculation Problem in a Weekend
medium.com·1d·
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🌊Streaming Algorithms
MLA: K/V cache compression with low-rank projection
huggingface.co·5d·
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📊Vector Quantization
Program Synthesis is Interesting and Open
stephendiehl.com·11h·
Discuss: Hacker News
💻Programming languages
Revisiting Knuth’s “Premature Optimization” Paper
probablydance.com·2d·
Discuss: Lobsters, Hacker News, r/cpp
🚀Compiler Optimizations