Маргарита Щигарева
分布式并行处理：提升任务并发能力
This month, OpenAI announced their Codex app and my coworkers were asking questions. So I downloaded it, and as a test case for the GPT-5.2-Codex (high) model, I asked it to reimplement the UMAP algorithm in Rust. UMAP is a dimensionality reduction technique that can take in a high-dimensional matrix of data and simultaneously cluster and visualize data in lower dimensions. However, it is a very computationally-intensive algorithm and the only tool that can do it quickly is NVIDIA’s cuML which requires CUDA dependency hell. If I can create a UMAP package in Rust that’s superfast with minimal dependencies, that is an massive productivity gain for the type of work I do and can enable fun applications if fast enough.，推荐阅读搜狗输入法2026获取更多信息
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FT Digital Edition: our digitised print edition
坚持精准方略，激发内力，调动广大农民的积极性、主动性、创造性。，这一点在谷歌浏览器【最新下载地址】中也有详细论述