转载请注明出处：

http://www.cnblogs.com/darkknightzh/p/5992693.html

参考网址：

http://blog.csdn.net/u012581999/article/details/52433609

https://ubuntuforums.org/showthread.php?t=2205211

http://realtechtalk.com/Linux_Ubuntu_Nvidia_GT430_LockupsErrorsFreezes_NVRM_os_schedule_Attempted_to_yield_the_CPU_while_in_atomic_or_interrupt_context-1243-articles

跑程序时，会莫名死机，而后/var/log/syslog中找到死机前时间的log，提示：

Attempted to yield the CPU while in atomic or interrupt context

NMI watchdog: BUG: soft lockup - CPU# stuck for 22s

https://ubuntuforums.org/showthread.php?t=2205211中说是nvidia驱动的问题。更新驱动后，可以解决。

http://realtechtalk.com/Linux_Ubuntu_Nvidia_GT430_LockupsErrorsFreezes_NVRM_os_schedule_Attempted_to_yield_the_CPU_while_in_atomic_or_interrupt_context-1243-articles中说电源老化的问题，换个新电源，就不会出现该问题了。

首先从官网下载ubuntu驱动：http://www.geforce.com/drivers

之后按照参考网址http://blog.csdn.net/u012581999/article/details/52433609中的步骤，安装最新的显卡驱动。

说明：1. 安装nvidia驱动时，会提示是否把Nouveau驱动放到黑名单中。点击是后，实际上还是在运行Nouveau驱动。估计是以为没用使用sudo update-initramfs –u命令吧。

2. 之后安装软件时，会提示x serve在运行。也不知道怎么弄的，后来驱动就安装成功了。。。

之后按照参考网址中说明安装即可。

ps：目前还不清楚是否能解决死机的问题。希望可以吧。

更新：该方法失败了。电脑还是会死机。。。

具体提示信息：

Oct  :: XXX kernel: [136595.363786] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136607.364150] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136609.364225] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136611.364299] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136613.364382] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136615.364456] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136617.364530] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136619.364613] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136621.364687] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136623.364760] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136625.364834] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136627.364907] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136629.364980] NVRM: os_schedule: Attempted to yield the CPU while in atomic or interrupt context

Oct  :: XXX kernel: [136631.228969] NMI watchdog: BUG: soft lockup - CPU# stuck for 22s! [swapper/:]

Oct  :: XXX kernel: [136631.228971] Modules linked in: intel_rapl x86_pkg_temp_thermal intel_powerclamp coretemp nvidia_uvm(POE) kvm_intel nvidia_modeset(POE) kvm input_leds irqbypass crct10dif_pclmul crc32_pclmul snd_hda_codec_realtek snd_hda_codec_hdmi snd_soc_rt5640 aesni_intel aes_x86_64 snd_soc_rl6231 snd_soc_ssm4567 snd_hda_codec_generic lrw snd_soc_core snd_hda_intel snd_hda_codec nvidia(POE) snd_hda_core snd_compress gf128mul ac97_bus snd_hwdep snd_pcm_dmaengine glue_helper snd_pcm ablk_helper snd_seq_midi snd_seq_midi_event snd_rawmidi snd_seq snd_seq_device dw_dmac dw_dmac_core snd_timer snd elan_i2c i2c_designware_platform cryptd soundcore mei_me serio_raw snd_soc_sst_acpi mei i2c_designware_core lpc_ich spi_pxa2xx_platform shpchp 8250_dw 8250_fintek acpi_pad mac_hid parport_pc ppdev lp parport autofs4 hid_generic usbhid i915 i2c_algo_bit drm_kms_helper syscopyarea sysfillrect sysimgblt fb_sys_fops ahci drm psmouse r8169 libahci mii video sdhci_acpi sdhci i2c_hid hid fjes

Oct  :: XXX kernel: [136631.229020] CPU:  PID:  Comm: swapper/ Tainted: P           OEL  4.4.--generic #

Oct  :: XXX kernel: [136631.229021] Hardware name: Gigabyte Technology Co., Ltd. Z97-HD3/Z97-HD3, BIOS F4 //

Oct  :: XXX kernel: [136631.229031] task: ffffffff81e11500 ti: ffffffff81e00000 task.ti: ffffffff81e00000

Oct  :: XXX kernel: [136631.229032] RIP: :[<ffffffffc06e244e>]  [<ffffffffc06e244e>] _nv016047rm+0x16de/0x29e0 [nvidia]

Oct  :: XXX kernel: [136631.229116] RSP: :ffff88022fa03b80  EFLAGS:

Oct  :: XXX kernel: [136631.229117] RAX:  RBX: ffff8800c4fd0008 RCX:

Oct  :: XXX kernel: [136631.229117] RDX:  RSI:  RDI: ffff8800c4fd0008

Oct  :: XXX kernel: [136631.229118] RBP: ffff880224655e18 R08:  R09: ffffffffc0d1ca20

Oct  :: XXX kernel: [136631.229118] R10: 00000000580bf844 R11: ffffffffc06dc170 R12:

Oct  :: XXX kernel: [136631.229119] R13:  R14:  R15:

Oct  :: XXX kernel: [136631.229120] FS:  () GS:ffff88022fa00000() knlGS:

Oct  :: XXX kernel: [136631.229121] CS:   DS:  ES:  CR0:

Oct  :: XXX kernel: [136631.229121] CR2: 0000555edc0e7088 CR3: 0000000001e0a000 CR4: 00000000001406f0

Oct  :: XXX kernel: [136631.229122] DR0:  DR1:  DR2:

Oct  :: XXX kernel: [136631.229123] DR3:  DR6: 00000000fffe0ff0 DR7:

Oct  :: XXX kernel: [136631.229123] Stack:

Oct  :: XXX kernel: [136631.229124]  ffffffffc06dc12e ffff8800c4fd0008 0000000000404e1e

Oct  :: XXX kernel: [136631.229125]   ffff8802249e95c4 ffffffffc06dc6bd ffff8800c4fd0008

Oct  :: XXX kernel: [136631.229126]  ffff8800c61a8008 ffff8800c61a0008 ffffffffc0776dd2 ffff8800c4fd0008

Oct  :: XXX kernel: [136631.229127] Call Trace:

Oct  :: XXX kernel: [136631.229128]  <IRQ>

Oct  :: XXX kernel: [136631.229205]  [<ffffffffc06dc12e>] ? _nv009411rm+0x166e/0x1a80 [nvidia]

Oct  :: XXX kernel: [136631.229281]  [<ffffffffc06dc6bd>] ? _nv002124rm+0x17d/0x3cf0 [nvidia]

Oct  :: XXX kernel: [136631.229366]  [<ffffffffc0776dd2>] ? _nv012476rm+0x72/0xd0 [nvidia]

Oct  :: XXX kernel: [136631.229451]  [<ffffffffc0776b04>] ? _nv012578rm+0xd4/0x330 [nvidia]

Oct  :: XXX kernel: [136631.229531]  [<ffffffffc07cee2a>] ? _nv004888rm+0x5ea/0x25e0 [nvidia]

Oct  :: XXX kernel: [136631.229610]  [<ffffffffc07cf4e5>] ? _nv004888rm+0xca5/0x25e0 [nvidia]

Oct  :: XXX kernel: [136631.229689]  [<ffffffffc07d5cd2>] ? _nv014795rm+0x252/0x280 [nvidia]

Oct  :: XXX kernel: [136631.229760]  [<ffffffffc06e1b67>] ? _nv016047rm+0xdf7/0x29e0 [nvidia]

Oct  :: XXX kernel: [136631.229830]  [<ffffffffc06dc201>] ? _nv009411rm+0x1741/0x1a80 [nvidia]

Oct  :: XXX kernel: [136631.229898]  [<ffffffffc06dc23a>] ? _nv009411rm+0x177a/0x1a80 [nvidia]

Oct  :: XXX kernel: [136631.229971]  [<ffffffffc07090ff>] ? _nv010457rm+0x1f/0xb0 [nvidia]

Oct  :: XXX kernel: [136631.230043]  [<ffffffffc070bae6>] ? _nv010462rm+0x66/0xb0 [nvidia]

Oct  :: XXX kernel: [136631.230115]  [<ffffffffc083c45d>] ? _nv015780rm+0x8d/0xe0 [nvidia]

Oct  :: XXX kernel: [136631.230185]  [<ffffffffc083e777>] ? _nv015782rm+0x417/0x590 [nvidia]

Oct  :: XXX kernel: [136631.230255]  [<ffffffffc083c2b9>] ? _nv015781rm+0x69/0x180 [nvidia]

Oct  :: XXX kernel: [136631.230308]  [<ffffffffc09082d4>] ? _nv014345rm+0x1b4/0x1210 [nvidia]

Oct  :: XXX kernel: [136631.230336]  [<ffffffffc0430cc0>] ? nvidia_isr_bh+0x70/0x70 [nvidia]

Oct  :: XXX kernel: [136631.230390]  [<ffffffffc095893b>] ? rm_run_rc_callback+0x9b/0xe0 [nvidia]

Oct  :: XXX kernel: [136631.230417]  [<ffffffffc0430d07>] ? nvidia_rc_timer+0x47/0x80 [nvidia]

Oct  :: XXX kernel: [136631.230420]  [<ffffffff810eb215>] ? call_timer_fn+0x35/0x120

Oct  :: XXX kernel: [136631.230448]  [<ffffffffc0430cc0>] ? nvidia_isr_bh+0x70/0x70 [nvidia]

Oct  :: XXX kernel: [136631.230449]  [<ffffffff810ebbca>] ? run_timer_softirq+0x23a/0x2f0

Oct  :: XXX kernel: [136631.230451]  [<ffffffff81084961>] ? __do_softirq+0x101/0x290

Oct  :: XXX kernel: [136631.230453]  [<ffffffff81084c63>] ? irq_exit+0xa3/0xb0

Oct  :: XXX kernel: [136631.230455]  [<ffffffff8180b222>] ? smp_apic_timer_interrupt+0x42/0x50

Oct  :: XXX kernel: [136631.230456]  [<ffffffff818094e2>] ? apic_timer_interrupt+0x82/0x90

Oct  :: XXX kernel: [136631.230457]  <EOI>

Oct  :: XXX kernel: [136631.230458]  [<ffffffff8169ec61>] ? cpuidle_enter_state+0x111/0x2b0

Oct  :: XXX kernel: [136631.230459]  [<ffffffff8169ec4f>] ? cpuidle_enter_state+0xff/0x2b0

Oct  :: XXX kernel: [136631.230460]  [<ffffffff8169ee37>] ? cpuidle_enter+0x17/0x20

Oct  :: XXX kernel: [136631.230462]  [<ffffffff810c2b82>] ? call_cpuidle+0x32/0x60

Oct  :: XXX kernel: [136631.230463]  [<ffffffff8169ee13>] ? cpuidle_select+0x13/0x20

Oct  :: XXX kernel: [136631.230464]  [<ffffffff810c2e40>] ? cpu_startup_entry+0x290/0x350

Oct  :: XXX kernel: [136631.230466]  [<ffffffff817fc1bc>] ? rest_init+0x7c/0x80

Oct  :: XXX kernel: [136631.230468]  [<ffffffff81f57011>] ? start_kernel+0x481/0x4a2

Oct  :: XXX kernel: [136631.230470]  [<ffffffff81f56120>] ? early_idt_handler_array+0x120/0x120

Oct  :: XXX kernel: [136631.230471]  [<ffffffff81f56339>] ? x86_64_start_reservations+0x2a/0x2c

Oct  :: XXX kernel: [136631.230472]  [<ffffffff81f56485>] ? x86_64_start_kernel+0x14a/0x16d

Oct  :: XXX kernel: [136631.230473] Code: c8 1b     ff 0f  c2  c0  fe  0f  c0  d0    f9      c4    df  ca 5b  5c  5d  5e <eb>    f6   cd 4f 8d    4a  3c e7    4b XXX

（原+转）ubuntu16中莫名死机及重新安装显卡驱动的更多相关文章

  1. （原）ubuntu16中安装moses

    转载请注明出处: http://www.cnblogs.com/darkknightzh/p/5653186.html 在ubuntu14中,可以使用下面的语句安装moses: luarocks in ...

  2. （原）Ubuntu16中安装nvidia的显卡驱动

    转载请注明出处: http://www.cnblogs.com/darkknightzh/p/5638185.html part1 直接在“软件和更新-附加驱动”里面设置 安装完ubuntu16后,显 ...

  3. （原）Ubuntu16中安装cuda toolkit

    转载请注明出处: http://www.cnblogs.com/darkknightzh/p/5655957.html 参考网址: https://devtalk.nvidia.com/default ...

  4. （原）ubuntu16中简单的使用google的protobuf

    转载请注明出处: http://www.cnblogs.com/darkknightzh/p/5804395.html 参考网址: http://www.cnblogs.com/luosongchao ...

  5. （原）Ubuntu16中卸载并重新安装google的Protocol Buffers

    转载请注明出处: http://www.cnblogs.com/darkknightzh/p/5782992.html 目前最新的是1.6.1 1. 卸载掉老版本的Protocol: sudo apt ...

  6. （原）Ubuntu16中使用nvidia官方提供的驱动，而非自带的驱动

    转载请注明出处: http://www.cnblogs.com/darkknightzh/p/5638185.html 安装完ubuntu16后,显卡显示的是Gallium... 在“设置-软件和更新 ...

  7. （原）Ubuntu16中编译caffe

    转载请注明出处: http://www.cnblogs.com/darkknightzh/p/5797526.html 参考网址: http://caffe.berkeleyvision.org/in ...

  8. （原）Ubuntu16 中安装torch版的cudnn

    转载请注明出处: http://www.cnblogs.com/darkknightzh/p/5668471.html 参考网址: https://devtalk.nvidia.com/default ...

  9. （原）ubuntu16中编译boost1.61.0库

    转载请注明出处: http://www.cnblogs.com/darkknightzh/p/5797940.html 参考网址: http://www.boost.org/doc/libs/1_61 ...

随机推荐

  1. 洛谷 P1066 2^k进制数

    P1066 2^k进制数 题目描述 设r是个2^k 进制数,并满足以下条件: (1)r至少是个2位的2^k 进制数. (2)作为2^k 进制数,除最后一位外,r的每一位严格小于它右边相邻的那一位. ( ...

  2. ESP8266固件烧录方法

    今天拿到ESP8266的板子,第一步是进行烧录固件. 首先是使用官方自带的参考文档,进行操作.发现每次烧录均卡在等待同步上电. 之后发现是烧录方法错误. 正确的烧录方法: 先按下FLASH不放,再按烧 ...

  3. SMA2SATA、PCIe2SATA转换模块(也有叫：Sata Test Fixtures)

    SMA2SATA.PCIe2SATA测试夹具(Sata Test Fixtures) 去年制作SMA2SATA.PCIe2SATA适配器的过程早就想写出来,但一直没有时间,今天星期六有个空儿,简单整理 ...

  4. c#快捷键设置和text输入限制

    快捷键 使用KeyDonw事件 输入限制使用 KeyPress 事件 1.注意:如果是整个窗体的快捷键,一定要把窗体属性中的KeyPreview改为true private void textbox_ ...

  5. 美化xterm

    很多软件调试时,会打开xterm,不过很难看,字体.背景等等都不好看,网上找到了一个不错的xterm的配置文件 !look and feel xterm.termName: xterm-256colo ...

  6. HEAP[xxx.exe]:Invalid Address specified to RtlValidateHeap 错误的解决方法总结

    一.情况 抽象出问题是这样的: class DLL_API1 A { func() { vector vec; B b; b.func(vec); return TRUE; } } 其中B是另一个导出 ...

  7. 高效的jQuery代码编写技巧总结

    最近写了很多的js,虽然效果都实现了,但是总感觉自己写的js在性能上还能有很大的提升.本文我计划总结一些网上找的和我本人的一些建议,来提升你的jQuery和javascript代码.好的代码会带来速度 ...

  8. JQuery实现倒计时效果

    首先:引入jquery文件 <script type="text/javascript" src="http://www.cnblogs.com/Content/P ...

  9. [置顶] Android四大组件之BroadcastReceiver

    Android四大组件之BroadcastReceiver Broadcast Receiver 广播接收器,是一种负责接收广播消息并对消息做出响应的组件,和Service一样并不提供与用户交互的UI ...

  10. cf448B Suffix Structures

    B. Suffix Structures time limit per test 1 second memory limit per test 256 megabytes input standard ...