/explore
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readrust.net | ||
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www.scattered-thoughts.net
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ais523.me.uk
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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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corrode.dev
Interest in Rust has surged in recent years, with tech leaders such as Microsoft, Google, and Amazon coming forward to share their experiences of leveraging Rust for critical systems. Much of the dialogue about Rust, however, is still driven by those... |
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