内存性能分析 (Memory Performance Analysis) 使用perf工具,用户可以对内存访问进行深入分析,以确定内存性能瓶颈。以下示例展示了如何使用perf mem命令分析内存性能: $ perf mem record ./my_program $ perf mem report 这将记录内存访问事件并生成报告,帮助用户发现程序中的内存瓶颈。 IO性能分析 (IO Performance Analy...
$ dmesg | tail [1880957.563150] perl invoked oom-killer: gfp_mask=0x280da, order=0, oom_score_adj=0 [...] [1880957.563400] Out of memory: Kill process 18694 (perl) score 246 or sacrifice child [1880957.563408] Killed process 18694 (perl) total-vm:1972392kB, anon-rss:1953348kB, file...
One of the key components of Tuning is the Memory Analysis Tool (MAT), which is used to analyze memory usage and identify memory leaks in processes. MAT provides detailed information on memory usage, including the amount of memory used by each process, as well as the amount of memory that ...
So when a new process is created, an executable file is mapped into a process address space and then the address_space object is initialized in the memory. Each memory mapped file has its own address_space structure. The address_space structure is defined in /usr/src/linux-2.4/include/linux...
内存性能分析 (Memory Performance Analysis) 使用perf工具,用户可以对内存访问进行深入分析,以确定内存性能瓶颈。以下示例展示了如何使用perf mem命令分析内存性能: $ perf mem record ./my_program $ perf mem report 这将记录内存访问事件并生成报告,帮助用户发现程序中的内存瓶颈。
堆转储文件是二进制文件,没法直接查看,一般是配合mat(Memory Analysis Tool)等堆可视化工具来进行分析,如下: mat打开hprof文件后,会看下如下一个概要界面。 点击Histogram可以按类维度查询内存占用大小 点击Dominator Tree可以看到各对象总大小(Retained Heap,包含引用的子对象),以及所占内存比例,可以看到一个ArrayList对象...
vmstat(8) 是 virtual memory stat 的缩写,是一种常用工具(几十年前首次为 BSD 创建)。它在每一行打印关键服务器统计信息的摘要。 vmstat的运行参数为1,每秒打印一次,统计最近一秒钟的情况,不过请忽略第一行,第一行统计的不是前一秒的情况,是统计的OS启动以来的平均值,对于我们排查问题而言,没啥帮助。
$ dmesg|tail[1880957.563150]perl invoked oom-killer:gfp_mask=0x280da,order=0,oom_score_adj=0[...][1880957.563400]Outofmemory:Kill process18694(perl)score246or sacrifice child[1880957.563408]Killed process18694(perl)total-vm:1972392kB,anon-rss:1953348kB,file-rss:0kB[2320864.954447]TCP:PossibleSYN...
Linux physical memory analysis - Movall, Nelson, et al. - 2005 () Citation Context ...04 guest OS template to populate the containers, 3 basic process are launched, and they are allocated with 2264kB shared memory pages and 912kB non-shared pages. Using a physical memory analysis tool =...
Back End Bound又可再细分为2类,core bound意味着软件更多依赖于微指令的处理能力;memory bound意味着软件更加依赖CPU L1～L3缓存和DRAM内存性能。当CPU stalled在Back End,通常意味着复杂运算指令延迟大,或操作数从memory(包括cache和DDR)获取的延迟大,导致部分pipeline slots为空(stall)。