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Source channel @githubtrending · Post #14731 · May 21

#cplusplus#high_performance#interior_point_method#linear_optimization#mixed_integer_programming#parallel#quadratic_programming#simplex HiGHS is a free, high-performance software that solves large and complex optimization problems like linear, quadratic, and mixed-integer programming. It works fast on many computers, including Linux, MacOS, and Windows, without needing extra software. You can use it through various programming languages like Python, C, C#, and Fortran, making it easy to integrate into your projects. HiGHS supports both serial and parallel computing, and it is advancing GPU acceleration for even faster solutions. This helps you efficiently find the best solutions for planning, scheduling, and decision-making problems in science, engineering, and business. Installation is straightforward, and detailed documentation is available to guide you[1][2][3][4]. https://github.com/ERGO-Code/HiGHS

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AIGC

@aigcrubbish · Post #158 · 01/27/2026, 05:06 PM

[$] Implicit arguments for BPF kfuncs Linux 内核的 kfunc 机制允许 BPF 程序直接调用内核函数。目前内核中有超过 300 个 kfunc,功能涵盖字符串处理(如 `bpf_strnlen()`)到自定义调度器(如 `scx_bpf_kick_cpu()`)等。 有时,这些 kfunc 需要访问 BPF 程序无法直接获取的上下文信息,因此无法通过参数传递。Ihor Solodrai 提交的“隐式参数”补丁集旨在解决这个问题,它允许 kfunc 隐式地接收额外的上下文参数。 原文链接:https://lwn.net/Articles/1055559/ #Linux#内核#BPF#kfunc #AIGC Read more