oprofile

OProfile is one of several profiling and performance monitoring tools for Linux .

Oprofile是用于Linux的若干种评测和性能监控工具中的一种。

You can also download OProfile using the link in the Resources section later in this article .

用户也可以使用在本文后面参考资料部分中的链接来下载Oprofile。

OProfile analysis : Cache memory utilization problem

Oprofile分析：高速缓存利用率问题

OProfile works by sampling , and using the collected profile data , you can easily identify performance problems .

Oprofile通过取样来工作。使用收集到的评测数据，用户可以很容易地找出性能问题。

I hope you have gained some insight into OProfile and the ways you can optimize the kernel code .

我希望您已经对Oprofile和可以优化内核代码的方法有了一些了解。

OProfile is fine-grained and can collect samples for a set of instructions , or for function , system call , or interrupt handlers .

Oprofile是一种细粒度的工具，可以为指令集或者为函数、系统调用或中断处理例程收集采样。

Single-click profiling with OProfile and integration with the CDT

单击OProfile预配置与CDT集成

Also try collecting OProfile data for the event CPU_CLK_UNHALTED with the count set to10000 ; compare the data collected with and without optimization and note the performance improvement .

还要尝试为事件CPUCLKUNHALTED收集Oprofile数据，同时将计数设置为10000。对用优化的和未经优化的方法收集的数据加以比较，并且注意性能的改善。

OProfile can help you identify issues such as loop unrolling , poor cache utilization , inefficient type conversion and redundant operations , branch mispredictions , and so on .

Oprofile可以帮助用户识别诸如循环的展开、高速缓存的使用率低、低效的类型转换和冗余操作、错误预测转移等问题。