<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Constantly的专栏]]></title><description><![CDATA[Make everything simple using a few words!]]></description><link>https://blog.csdn.net/ZzConstantly</link><language>zh-cn</language><generator>https://blog.csdn.net/</generator><copyright><![CDATA[Copyright &copy; ZzConstantly]]></copyright><item><title><![CDATA[ubuntu下 双显卡Optimus笔记本 CUDA配置教程（成功解决黑屏问题）]]></title><link>https://blog.csdn.net/ZzConstantly/article/details/45021891</link><guid>https://blog.csdn.net/ZzConstantly/article/details/45021891</guid><author>ZzConstantly</author><pubDate>Mon, 13 Apr 2015 09:52:36 +0800</pubDate><description><![CDATA[Intel出于笔记本独显发热量大的考虑开发了Optimus技术，在Ubuntu平台上，实际上集显负责二维渲染，独显负责三维渲染。（这里我们要明确一个问题，intel的核芯显卡HD系列负责我们桌面的显示！）
现在的CUDA SDK包含了Nvidia Driver Cuda Drive以及CUDA Samples共三个方面的内容，这里强烈推荐使用CUDA SDK包内的Nvidia驱动，否则容易出现显]]></description><category></category></item><item><title><![CDATA[latex：解决无法找到.sty的问题]]></title><link>https://blog.csdn.net/ZzConstantly/article/details/44748355</link><guid>https://blog.csdn.net/ZzConstantly/article/details/44748355</guid><author>ZzConstantly</author><pubDate>Mon, 30 Mar 2015 11:25:39 +0800</pubDate><description><![CDATA[1. 首先下载相应的.sty文件，放到对应文件夹下！
2. 执行C:\CTEX\MiKTeX\miktex\bin\中的mo_admin.exe，刷新一下配置。再重新编译即可！]]></description><category></category></item><item><title><![CDATA[杂谈：如何调试CUDA代码]]></title><link>https://blog.csdn.net/ZzConstantly/article/details/44656013</link><guid>https://blog.csdn.net/ZzConstantly/article/details/44656013</guid><author>ZzConstantly</author><pubDate>Thu, 26 Mar 2015 21:09:38 +0800</pubDate><description><![CDATA[刚刚找到很隐蔽的一个bug（^-^），趁大脑还清醒赶紧滚过来写一下感想，如果对读者有一点点的帮助，那就是再好不过的事情了！
CUDA并行编程复杂，相比CPU单线程，主要有三点：第一，CUDA程序开发难，一方面要根据串行算法设计并行化算法，这要求有很好的算法基础，另一方面还要了解GPU底层硬件以更好地利用CUDA模型，这还要求一些硬件架构基础;第二，CUDA程序调试难，相比单线程开发，CUDA多线]]></description><category></category></item><item><title><![CDATA[LaTex常用符号（很全，再也不用网上查了）]]></title><link>https://blog.csdn.net/ZzConstantly/article/details/43818147</link><guid>https://blog.csdn.net/ZzConstantly/article/details/43818147</guid><author>ZzConstantly</author><pubDate>Sat, 14 Feb 2015 17:06:16 +0800</pubDate><description><![CDATA[LaTeX Math Symbols
Prepared by L. Kocbach, on the basis of this document (origin: David Carlisle, Manchester University)
File A.tex contains all necessary code 
This file is prepared by running 
l]]></description><category></category></item><item><title><![CDATA[OpenCV CvMat的使用]]></title><link>https://blog.csdn.net/ZzConstantly/article/details/43772535</link><guid>https://blog.csdn.net/ZzConstantly/article/details/43772535</guid><author>ZzConstantly</author><pubDate>Thu, 12 Feb 2015 22:03:39 +0800</pubDate><description><![CDATA[1.初始化矩阵：

方式一、逐点赋值式：

CvMat* mat = cvCreateMat( 2, 2, CV_64FC1 );
cvZero( mat );
cvmSet( mat, 0, 0, 1 );
cvmSet( mat, 0, 1, 2 );
cvmSet( mat, 1, 0, 3 );
cvmSet( mat, 2, 2, 4 );
cvReleaseMat(]]></description><category></category></item><item><title><![CDATA[Nsight调试笔记]]></title><link>https://blog.csdn.net/ZzConstantly/article/details/43409303</link><guid>https://blog.csdn.net/ZzConstantly/article/details/43409303</guid><author>ZzConstantly</author><pubDate>Mon, 02 Feb 2015 15:34:07 +0800</pubDate><description><![CDATA[Problem 1: Low Memcpy/Compute Overlap
The percentage of time when memcpy is being performed in parallel with compute is low.
Nsight手册第九章 Memory Optimizations
9.1 Data Transfer Between Host and Devi]]></description><category></category></item><item><title><![CDATA[CUDA Review]]></title><link>https://blog.csdn.net/ZzConstantly/article/details/43408371</link><guid>https://blog.csdn.net/ZzConstantly/article/details/43408371</guid><author>ZzConstantly</author><pubDate>Mon, 02 Feb 2015 14:49:08 +0800</pubDate><description><![CDATA[1.  GPU硬件特性
1.1 存储层次
1.1.1 Global memory：
1) 大小一般为几GB
2)  chip-off的DRAM介质存储器
3) 访问速度慢（是shared memory的上百倍）
4)  对于是否对齐和连续访问敏感（由DRAM的性质决定）(Remember:
When using global memory to read and write a la]]></description><category></category></item><item><title><![CDATA[CUDA远程调用—完整教程]]></title><link>https://blog.csdn.net/ZzConstantly/article/details/42583121</link><guid>https://blog.csdn.net/ZzConstantly/article/details/42583121</guid><author>ZzConstantly</author><pubDate>Sat, 10 Jan 2015 14:59:39 +0800</pubDate><description><![CDATA[毕业设计的题目跟CUDA有关，本人的笔记本用的是A卡（悔恨当初怎么没买N卡的机子），托老师找人借了台N卡机器。之前，在网上找了很久远程调用CUDA的方法，资料很少。
       大体总结一下，基本上有两种方法：
       方法一、使用CUDA提供的Nsight远程调用调试（详见 点击打开链接），这是网上提供的方法，本人并没有验证。
       方法二、使用RealVNC远程连接PC或]]></description><category></category></item><item><title><![CDATA[Part1：C++引用类型]]></title><link>https://blog.csdn.net/ZzConstantly/article/details/38640667</link><guid>https://blog.csdn.net/ZzConstantly/article/details/38640667</guid><author>ZzConstantly</author><pubDate>Sun, 17 Aug 2014 17:33:46 +0800</pubDate><description><![CDATA[111]]></description><category></category></item></channel></rss>