神的恩赐

Linux内核内存操作优化
<p>希望优快云的编辑,将这个博客推荐到首页,非常了不起的成果。以下全文转载,来自Maling。</p>
<p><br>The comment from Linus is “The code looks clever and nice”!</p>
<p></p>
<p>a. memcpy in Linux kernel</p>
<p>Patch: <a href="https://patchwork.kernel.org/patch/296282/">https://patchwork.kernel.org/patch/296282/</a></p>
<p>commit id: 59daa706fbec745684702741b9f5373142dd9fdc</p>
<p>First completely avoid memory false dependence in CPU pipeline, which impacts all x86 CPU, the performance is improved up to 3X, pushed into Linux kernel release version, and replaced original one, which stayed for 8 years.</p>
<p></p>
<p>b. memmove in Linux kernel</p>
<p>Patch: <a href="http://lkml.org/lkml/2010/9/16/502">http://lkml.org/lkml/2010/9/16/502</a></p>
<p>commit id: 3b4b682becdfa9f42321aa024d5cc84f71f06d8c</p>
<p>Avoid long latency and some limitation from mov string instruction, which cost much time in decoding stage, and memory false dependence for unaligned cases.</p>
<p> </p>
<p> H.J and I provide the below codes.</p>
<p></p>
<p>a. 64bit memcpy/memmove for Atom, Core2 and Core i7</p>
<p><a href="http://article.gmane.org/gmane.comp.lib.glibc.alpha/15278">http://article.gmane.org/gmane.comp.lib.glibc.alpha/15278</a></p>
<p>This patch includes optimized 64bit memcpy/memmove for Atom, Core 2 and</p>
<p>Core i7. It improves memcpy up to 3X on Atom, up to 4X on Core 2 and</p>
<p>up to 1X on Core i7. It also improves memmove by up to 3X on Atom, up to</p>
<p>4X on Core 2 and up to 2X on Core i7.</p>
<p></p>
<p>b. 64bit memcmp for Core i7</p>
<p><a href="http://sourceware.org/ml/libc-alpha/2010-04/msg00030.html">http://sourceware.org/ml/libc-alpha/2010-04/msg00030.html</a></p>
<p>This is 64bit SSE4 optimized memcmp. It improves memcmp by up to 3Xon Intel Core i7. </p>
<p>c. 64bit strcmp</p>
<p><a href="http://sources.redhat.com/ml/libc-alpha/2009-07/msg00063.html">http://sources.redhat.com/ml/libc-alpha/2009-07/msg00063.html</a></p>
<p>The code is checked in glibc and opensolaris library.</p>
<p></p>
<p>d. 64bit strcpy</p>
<p><a href="http://src.opensolaris.org/source/xref/onnv/onnv-gate/usr/src/lib/libc/amd64/gen/strcpy.s">http://src.opensolaris.org/source/xref/onnv/onnv-gate/usr/src/lib/libc/amd64/gen/strcpy.s</a></p>
<p>The code is checked in glibc and opensolaris library.</p>
<p></p>
<p>e. 32bit memset/memcpy for Atom, Core2 and Corei7</p>
<p><a href="http://sources.redhat.com/ml/libc-alpha/2010-01/msg00016.html">http://sources.redhat.com/ml/libc-alpha/2010-01/msg00016.html</a></p>
<p>Their performances are all improved up to 3x~4x, pushed into moblin libc successfully.</p>
<p></p>
<p>f. 32bit memcmp/strcmp/strncmp for Atom, Core2 and Corei7.</p>
<p><a href="http://sourceware.org/ml/libc-alpha/2010-02/msg00028.html">http://sourceware.org/ml/libc-alpha/2010-02/msg00028.html</a></p>
<p> The patch is to provide 32bit memcmp/strcmp/strncmp optimized for</p>
<p>SSSE3/SSS4.2. It can improve memcmp by up to 3X, strcmp by up to 7x</p>
<p></p>
<p>本文来自优快云博客,转载请标明出处:<a href="http://blog.youkuaiyun.com/pennyliang/archive/2011/03/30/6288471.aspx">http://blog.youkuaiyun.com/pennyliang/archive/2011/03/30/6288471.aspx</a></p>
【无人机】基于改进粒子群算法的无人机路径规划研究[和遗传算法、粒子群算法进行比较](Matlab代码实现)内容概要:本文围绕基于改进粒子群算法的无人机路径规划展开研究,重点探讨了在复杂环境中利用改进粒子群算法(PSO)实现无人机三维路径规划的方法,并将其与遗传算法(GA)、标准粒子群算法等传统优化算法进行对比分析。研究内容涵盖路径规划的多目标优化、避障策略、航路点约束以及算法收敛性和寻优能力的评估,所有实验均通过Matlab代码实现,提供了完整的仿真验证流程。文章还提到了多种智能优化算法在无人机路径规划中的应用比较,突出了改进PSO在收敛速度和全局寻优方面的优势。; 适合人群:具备一定Matlab编程基础和优化算法知识的研究生、科研人员及从事无人机路径规划、智能优化算法研究的相关技术人员。; 使用场景及目标:①用于无人机在复杂地形或动态环境下的三维路径规划仿真研究;②比较不同智能优化算法(如PSO、GA、蚁群算法、RRT等)在路径规划中的性能差异;③为多目标优化问题提供算法选型和改进思路。; 阅读建议:建议读者结合文中提供的Matlab代码进行实践操作,重点关注算法的参数设置、适应度函数设计及路径约束处理方式,同时可参考文中提到的多种算法对比思路,拓展到其他智能优化算法的研究与改进中。
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