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Nginx缓存解决方案:SRCache - 更多技术 - 清泛网 - 专注C/C++及内核技术
...多的时候,冗余的浪费将非常严重,此外还有数据一致性问题,所以它只是一个粗线条的解决方案。
对此类问题而言,SRCache是一个细粒度的解决方案。其工作原理大致如下:
SRCache工作原理
当问题比较简单的时候,通常SRC...
创业第一年 太特么累了 - 资讯 - 清泛网 - 专注C/C++及内核技术
...吧?”。。。。。。;在考虑如何回答这些我都没想过的问题时,忽然感觉心里有一万只草泥马在奔腾,这货是故意来玩我的吧?再这么聊下去,估计我钱包里仅有的两百块钱也保不住,他留下还不祸害全公司的人。借口有事果...
Android AsyncTask threads limits?
...ince API 19 the core thread pool size was changed to reflect the number of CPUs on the device, with a minimum of 2 and maximum of 4 at start, while growing to a max of CPU*2 +1 - Reference
// We want at least 2 threads and at most 4 threads in the core pool,
// preferring to have 1 less than the C...
来自微软的一手内幕:Windows 10是怎么出炉的 - 创意 - 清泛网 - 专注C/C++及内核技术
...各种bug,他都非常耐心的在听,甚至还用邮件秒传了一个问题的解决方案给我。
他承认,干了这么多年的产品支持,自己对品质有一定偏执。很明显,他是发自内心地在乎。虽然许多人会开玩笑说,IT支持只不过是一个告诉...
Once upon a time, when > was faster than < … Wait, what?
...son. Remember: we're talking about graphics hardware depth tests, not your CPU. Not operator<.
What I was referring to was a specific old optimization where one frame you would use GL_LESS with a range of [0, 0.5]. Next frame, you render with GL_GREATER with a range of [1.0, 0.5]. You go back a...
小心!创业者不可不知的互联网家装惊天伪命题 - 资讯 - 清泛网 - 专注C/C++...
...便能够实时监控到整个装修过程,对于家装过程中出现的问题,用户没有必要前往装修现场,便能够完成对整个装修过程的控制……改变正在悄然发生,虽然这些改变虽然有些机械,但是它们却正在真切地发生着。
而用户也从...
GPU Emulator for CUDA programming without the hardware [closed]
...sed tool designed to
effectively compile the CUDA programming model to a CPU architecture.
It might be useful. Here is a link to the website.
CUDA Waste
It is an emulator to use on Windows 7 and 8. I've not tried it though. It doesn't seem to be developed anymore (the last commit is dated on ...
Execution time of C program
...OCKS_PER_SEC is a constant which is declared in <time.h>. To get the CPU time used by a task within a C application, use:
clock_t begin = clock();
/* here, do your time-consuming job */
clock_t end = clock();
double time_spent = (double)(end - begin) / CLOCKS_PER_SEC;
Note that this retur...
Deep Learning(深度学习)学习笔记整理系列之(三) - 大数据 & AI - 清泛...
...算单元情况下对复杂函数的表示能力有限,针对复杂分类问题其泛化能力受到一定制约。深度学习可通过学习一种深层非线性网络结构,实现复杂函数逼近,表征输入数据分布式表示,并展现了强大的从少数样本集中学习数据集...
Deep Learning(深度学习)学习笔记整理系列之(三) - 大数据 & AI - 清泛...
...算单元情况下对复杂函数的表示能力有限,针对复杂分类问题其泛化能力受到一定制约。深度学习可通过学习一种深层非线性网络结构,实现复杂函数逼近,表征输入数据分布式表示,并展现了强大的从少数样本集中学习数据集...