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nuculabs.wordpress.com
| | bitshifter.github.io

[AI summary] The text discusses the development and performance of the Rust linear algebra library 'glam', which leverages SIMD for optimized computations. It compares 'glam' with other libraries like 'cgmath' and 'nalgebra', highlighting its efficiency, especially when using SIMD. The text also covers benchmarking tools like 'mathbench' and 'criterion', and the use of assembly inspection for performance analysis. The author plans to enhance 'glam' over time based on community feedback and explores future optimizations using crates like 'packed_simd'.
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| | gist.github.com

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| | lemire.me


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| | github.com

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