Virtual Memory I: the problem

32位系统内存限制
本文探讨了32位系统中内存在虚拟地址空间上的分配问题。由于32位处理器的最大寻址能力为4GB,因此Linux内核必须在用户进程和自身之间划分此空间。随着对更大内存支持的需求增加,内核开发者们面临着如何有效利用有限资源的挑战。

From Virtual Memory I: the problem

This article serves mostly as background to help understand why the kernel developers are considering making fundamental virtual memory changes at this point in the development cycle. It can probably be skipped by readers who understand how high and low memory work on 32-bit systems.

A 32-bit processor can address a maximum of 4GB of memory. One could, in theory, extend the instruction set to allow for larger pointers, but, in practice, nobody does that; the effects on performance and compatibility would be too strong. So the limitation remains: no process on a 32-bit system can have an address space larger than 4GB, and the kernel cannot directly address more than 4GB.

In fact, the limitations are more severe than that. Linux kernels split the 4GB address space between user processes and the kernel; under the most common configuration, the first 3GB of the 32-bit range are given over to user space, and the kernel gets the final 1GB starting at 0xc0000000 . Sharing the address space gives a number of performance benefits; in particular, the hardware's address translation buffer can be shared between the kernel and user space.

If the kernel wishes to be able to access the system's physical memory directly, however, it must set up page tables which map that memory into the kernel's part of the address space. With the default 3GB/1GB mapping, the amount of physical memory which can be addressed in this way is somewhat less than 1GB - part of the kernel's space must be set aside for the kernel itself, for memory allocated with vmalloc() , and various other purposes. That is why, until a few years ago, Linux could not even fully handle 1GB of memory on 32-bit systems. In fact, back in 1999, Linus decreed that 32-bit Linux would never, ever support more than 2GB of memory. "This is not negotiable. "

Linus's views notwithstanding, the rest of the world continued on with the strange notion that 32-bit systems should be able to support massive amounts of memory. The processor vendors added paging modes which could use physical addresses which exceed 32 bits in length, thus ending the 4GB limit for physical memory. The internal addressing limitations in the Linux kernel remained, however. Happily for users of large systems, Linus can acknowledge an error and change his mind; he did eventually allow large memory support into the 2.3 kernel. That support came with its own costs and limitations, however.

On 32-bit systems, memory is now divided into "high" and "low" memory. Low memory continues to be mapped directly into the kernel's address space, and is thus always reachable via a kernel-space pointer. High memory, instead, has no direct kernel mapping. When the kernel needs to work with a page in high memory, it must explicitly set up a special page table to map it into the kernel's address space first. This operation can be expensive, and there are limits on the number of high-memory pages which can be mapped at any particular time.

For the most part, the kernel's own data structures must live in low memory. Memory which is not permanently mapped cannot appear in linked lists (because its virtual address is transient and variable), and the performance costs of mapping and unmapping kernel memory are too high. High memory is useful for process pages and some kernel tasks (I/O buffers, for example), but the core of the kernel stays in low memory.

Some 32-bit processors can now address 64GB of physical memory, but the Linux kernel is still not able to deal effectively with that much; the current limit is around 8GB to 16GB, depending on the load. The problem now is that larger systems simply run out of low memory. As the system gets larger, it requires more kernel data structures to manage, and eventually room for those structures can run out. On a very large system, the system memory map (an array of struct page structures which represents physical memory) alone can occupy half of the available low memory.

There are users out there wanting to scale 32-bit Linux systems up to 32GB or more of main memory, so the enterprise-oriented Linux distributors have been scrambling to make that possible. One approach is the 4G/4G patch written by Ingo Molnar. This patch separates the kernel and user address spaces, allowing user processes to have 4GB of virtual memory while simultaneously expanding the kernel's low memory to 4GB. There is a cost, however: the translation buffer is no longer shared and must be flushed for every transition between kernel and user space. Estimates of the magnitude of the performance hit vary greatly, but numbers as high as 30% have been thrown around. This option makes some systems work, however, so Red Hat ships a 4G/4G kernel with its enterprise offerings.

The 4G/4G patch extends the capabilities of the Linux kernel, but it remains unpopular. It is widely seen as an ugly solution, and nobody likes the performance cost. So there are efforts afoot to extend the scalability of the Linux kernel via other means. Some of these efforts will likely go forward - in 2.6, even - but the kernel developers seem increasingly unwilling to distort the kernel's memory management systems to meet the needs of a small number of users who are trying to stretch 32-bit systems far beyond where they should go. There will come a time where they will all answer as Linus did back in 1999: go get a 64-bit system.

【评估多目标跟踪方法】9个高度敏捷目标在编队中的轨迹和测量研究(Matlab代码实现)内容概要:本文围绕“评估多目标跟踪方法”,重点研究9个高度敏捷目标在编队飞行中的轨迹生成与测量过程,并提供完整的Matlab代码实现。文中详细模拟了目标的动态行为、运动约束及编队结构,通过仿真获取目标的状态信息与观测数据,用于验证和比较不同多目标跟踪算法的性能。研究内容涵盖轨迹建模、噪声处理、传感器测量模拟以及数据可视化等关键技术环节,旨在为雷达、无人机编队、自动驾驶等领域的多目标跟踪系统提供可复现的测试基准。; 适合人群:具备一定Matlab编程基础,从事控制工程、自动化、航空航天、智能交通或人工智能等相关领域的研究生、科研人员及工程技术人员。; 使用场景及目标:①用于多目标跟踪算法(如卡尔曼滤波、粒子滤波、GM-CPHD等)的性能评估与对比实验;②作为无人机编队、空中交通监控等应用场景下的轨迹仿真与传感器数据分析的教学与研究平台;③支持对高度机动目标在复杂编队下的可观测性与跟踪精度进行深入分析。; 阅读建议:建议读者结合提供的Matlab代码进行实践操作,重点关注轨迹生成逻辑与测量模型构建部分,可通过修改目标数量、运动参数或噪声水平来拓展实验场景,进一步提升对多目标跟踪系统设计与评估的理解。
本软件实现了一种基于时域有限差分法结合时间反转算法的微波成像技术,旨在应用于乳腺癌的早期筛查。其核心流程分为三个主要步骤:数据采集、信号处理与三维可视化。 首先,用户需分别执行“WithTumor.m”与“WithoutTumor.m”两个脚本。这两个程序将在模拟生成的三维生物组织环境中进行电磁仿真,分别采集包含肿瘤模型与不包含肿瘤模型的场景下的原始场数据。所获取的数据将自动存储为“withtumor.mat”与“withouttumor.mat”两个数据文件。 随后,运行主算法脚本“TR.m”。该程序将加载上述两组数据,并实施时间反转算法。算法的具体过程是:提取两组仿真信号之间的差异成分,通过一组专门设计的数字滤波器对差异信号进行增强与净化处理,随后在数值模拟的同一组织环境中进行时间反向的电磁波传播计算。 在算法迭代计算过程中,系统会按预设的周期(每n次迭代)自动生成并显示三维模拟空间内特定二维切面的电场强度分布图。通过对比观察这些动态更新的二维场分布图像,用户有望直观地识别出由肿瘤组织引起的异常电磁散射特征,从而实现病灶的视觉定位。 关于软件的具体配置要求、参数设置方法以及更深入的技术细节,请参阅软件包内附的说明文档。 资源来源于网络分享,仅用于学习交流使用,请勿用于商业,如有侵权请联系我删除!
<think>我们正在处理一个GDB(GNU调试器)的错误报告。错误信息显示: "virtual memory exhausted: can't allocate 1073741824 bytes"(虚拟内存耗尽:无法分配1073741824字节) 并且出现了两次,随后GDB以退出码3退出。 这个错误通常意味着GDB在尝试分配大约1GB(1073741824字节)的内存时失败,因为系统的虚拟内存(包括物理内存和交换空间)不足。这可能是由于系统内存资源不足,或者GDB试图分配一个过大的内存块而系统无法满足。 可能的原因: 1. 系统内存不足:运行GDB的机器可能没有足够的可用内存(包括交换空间)。 2. GDB本身的内存泄漏或bug:GDB在处理特定调试任务时可能会错误地尝试分配过多内存。 3. 被调试程序的内存占用过大:如果被调试的程序占用了大量内存,GDB在尝试读取其状态(如大型数组、核心转储等)时也可能需要大量内存。 4. 文件或数据过大:例如,尝试加载一个非常大的核心文件(core dump)或执行文件。 根据错误信息,GDB在内部函数`utils.c`的第671行遇到了这个错误,并且发生了两次,然后GDB建议退出调试会话并创建核心文件(但显然创建核心文件也可能失败)。 退出码3(0x3)通常表示内部错误。 如何解决: 1. 检查系统内存:使用`free -h`(Linux)等命令查看内存和交换空间使用情况。如果内存不足,可以尝试关闭其他程序,增加交换空间,或者增加物理内存。 2. 简化调试场景:如果被调试的程序很大,尝试使用更小的测试用例,或者避免在GDB中操作大型数据结构(例如,不要尝试打印一个巨大的数组)。 3. 更新GDB:这个错误可能是GDB的已知问题,升级到更新的版本(高于10.1)可能会解决。 4. 使用其他调试工具:如果问题持续,可以尝试其他调试器(如LLDB)或方法。 注意:错误信息中提到了两次相同的错误,第二次是在尝试创建核心文件时发生的,同样因为内存不足而失败。 因此,用户遇到的问题是GDB因为系统虚拟内存不足而崩溃。 §§相关问题§§ 1. 如何检查Linux系统的当前内存和交换空间使用情况? 2. 在遇到GDB内存不足错误时,有哪些方法可以增加系统的可用虚拟内存? 3. 有哪些常见的GDB替代调试器可以用于调试C/C++程序? 4. 如何避免在调试大型程序时触发GDB的内存分配错误?</think>### 问题分析: 您遇到的GDB错误 `virtual memory exhausted: can't allocate 1073741824 bytes` 表明GDB在尝试分配1GB内存时失败,根本原因是**系统虚拟内存资源耗尽**。具体原因和解决方案如下: 1. **直接原因** GDB在处理大型程序(如海量数据/复杂调试信息)时请求1GB连续内存,但系统无法满足: - 物理内存(RAM)不足 - 交换空间(Swap)不足或未启用 - 系统内存碎片化导致无法分配连续大内存块 2. **深层诱因** - 被调试程序占用大量内存(如处理大型数据集) - GDB自身内存泄漏(特别是旧版本,建议升级至GDB 12+) - 尝试加载超大型核心转储(core dump)文件 - 系统资源限制(如ulimit设置) 3. **解决方案** **立即缓解**: ```bash # 增加交换空间(临时) sudo fallocate -l 2G /swapfile && sudo chmod 600 /swapfile sudo mkswap /swapfile && sudo swapon /swapfile # 检查内存限制 ulimit -v unlimited # 解除虚拟内存限制 ``` **根本解决**: - 升级GDB:`sudo apt install gdb` (最新版修复了部分内存泄漏) - 优化调试对象:减少程序初始数据量 - 增加物理内存或永久交换空间 - 使用轻量级调试器替代(如LLDB) 4. **错误退出码解读** `exit code 3 (0x3)` 对应GDB内部错误`GDB_ERR_INTERNAL`,通常由资源分配失败触发。
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