Re: [slurm-users] slurmstepd: error: load_ebpf_prog: BPF load error (No space left on device). Please check your system limits (MEMLOCK).
Hi,
I have filed a bug report with SchedMD (https://bugs.schedmd.com/show_bug.cgi?id=18623), but the support told me they cannot invest time in this issue since I don't have a support contract. Maybe they will look into it once it affects more people or someone important enough.
So far, I have resorted to using 5.15.0-89-generic, but I am also a bit concerned about the security aspect of this choice.
Best,
Tim
On 23.01.24 14:59, Stefan Fleischmann wrote:
Hi!
I'm seeing the same in our environment. My conclusion is that it is a regression in the Ubuntu 5.15 kernel, introduced with 5.15.0-90-generic. Last working kernel version is 5.15.0-89-generic. I have filed a bug report here: https://bugs.launchpad.net/bugs/2050098
Please add yourself to the affected users in the bug report so it hopefully gets more attention.
I've tested with newer kernels (6.5, 6.6 and 6.7) and the problem does not exist there. 6.5 is the latest hwe kernel for 22.04 and would be an option for now. Reverting back to 5.15.0-89 would work as well, but I haven't looked into the security aspects of that.
Cheers, Stefan
On Mon, 22 Jan 2024 13:31:15 -0300 cristobal.navarro.g at gmail.com wrote:
Hi Tim and community, We are currently having the same issue (cgroups not working it seems, showing all GPUs on jobs) on a GPU-compute node (DGX A100) a couple of days ago after a full update (apt upgrade). Now whenever we launch a job for that partition, we get the error message mentioned by Tim. As a note, we have another custom GPU-compute node with L40s, on a different partition, and that one works fine. Before this error, we always had small differences in kernel version between nodes, so I am not sure if this can be the problem. Nevertheless, here is the info of our nodes as well.
*[Problem node]* The DGX A100 node has this kernel cnavarro at nodeGPU01:~$ uname -a Linux nodeGPU01 5.15.0-1042-nvidia #42-Ubuntu SMP Wed Nov 15 20:28:30 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
*[Functioning node]* The Custom GPU node (L40s) has this kernel cnavarro at nodeGPU02:~$ uname -a Linux nodeGPU02 5.15.0-91-generic #101-Ubuntu SMP Tue Nov 14 13:30:08 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
*And the login node *(slurmctld) ? ~ uname -a Linux patagon-master 5.15.0-91-generic #101-Ubuntu SMP Tue Nov 14 13:30:08 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
Any ideas what we should check?
On Thu, Jan 4, 2024 at 3:03?PM Tim Schneider <tim.schneider1 at tu-darmstadt.de> wrote:
Hi,
I am using SLURM 22.05.9 on a small compute cluster. Since I reinstalled two of our nodes, I get the following error when launching a job:
slurmstepd: error: load_ebpf_prog: BPF load error (No space left on device). Please check your system limits (MEMLOCK).
Also the cgroups do not seem to work properly anymore, as I am able to see all GPUs even if I do not request them, which is not the case on the other nodes.
One difference I found between the updated nodes and the original nodes (both are Ubuntu 22.04) is the kernel version, which is "5.15.0-89-generic #99-Ubuntu SMP" on the functioning nodes and "5.15.0-91-generic #101-Ubuntu SMP" on the updated nodes. I could not figure out how to install the exact first kernel version on the updated nodes, but I noticed that when I reinstall 5.15.0 with this tool: https://github.com/pimlie/ubuntu-mainline-kernel.sh, the error message disappears. However, once I do that, the network driver does not function properly anymore, so this does not seem to be a good solution.
Has anyone seen this issue before or is there maybe something else I should take a look at? I am also happy to just find a workaround such that I can take these nodes back online.
I appreciate any help!
Thanks a lot in advance and best wishes,
Tim
See my comments on https://bugs.launchpad.net/bugs/2050098. There's a pretty simple fix in slurm.
As far as I can tell, there's nothing wrong with the slurm code. But it's using an option that it doesn't actually need, and that seems to be causing trouble in the kernel.
________________________________ From: slurm-users slurm-users-bounces@lists.schedmd.com on behalf of Tim Schneider tim.schneider1@tu-darmstadt.de Sent: Tuesday, January 23, 2024 9:20 AM To: Stefan Fleischmann sfle@kth.se; slurm-users@lists.schedmd.com slurm-users@lists.schedmd.com Subject: Re: [slurm-users] slurmstepd: error: load_ebpf_prog: BPF load error (No space left on device). Please check your system limits (MEMLOCK).
Hi,
I have filed a bug report with SchedMD (https://bugs.schedmd.com/show_bug.cgi?id=18623), but the support told me they cannot invest time in this issue since I don't have a support contract. Maybe they will look into it once it affects more people or someone important enough.
So far, I have resorted to using 5.15.0-89-generic, but I am also a bit concerned about the security aspect of this choice.
Best,
Tim
On 23.01.24 14:59, Stefan Fleischmann wrote:
Hi!
I'm seeing the same in our environment. My conclusion is that it is a regression in the Ubuntu 5.15 kernel, introduced with 5.15.0-90-generic. Last working kernel version is 5.15.0-89-generic. I have filed a bug report here: https://bugs.launchpad.net/bugs/2050098
Please add yourself to the affected users in the bug report so it hopefully gets more attention.
I've tested with newer kernels (6.5, 6.6 and 6.7) and the problem does not exist there. 6.5 is the latest hwe kernel for 22.04 and would be an option for now. Reverting back to 5.15.0-89 would work as well, but I haven't looked into the security aspects of that.
Cheers, Stefan
On Mon, 22 Jan 2024 13:31:15 -0300 cristobal.navarro.g at gmail.com wrote:
Hi Tim and community, We are currently having the same issue (cgroups not working it seems, showing all GPUs on jobs) on a GPU-compute node (DGX A100) a couple of days ago after a full update (apt upgrade). Now whenever we launch a job for that partition, we get the error message mentioned by Tim. As a note, we have another custom GPU-compute node with L40s, on a different partition, and that one works fine. Before this error, we always had small differences in kernel version between nodes, so I am not sure if this can be the problem. Nevertheless, here is the info of our nodes as well.
*[Problem node]* The DGX A100 node has this kernel cnavarro at nodeGPU01:~$ uname -a Linux nodeGPU01 5.15.0-1042-nvidia #42-Ubuntu SMP Wed Nov 15 20:28:30 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
*[Functioning node]* The Custom GPU node (L40s) has this kernel cnavarro at nodeGPU02:~$ uname -a Linux nodeGPU02 5.15.0-91-generic #101-Ubuntu SMP Tue Nov 14 13:30:08 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
*And the login node *(slurmctld) ? ~ uname -a Linux patagon-master 5.15.0-91-generic #101-Ubuntu SMP Tue Nov 14 13:30:08 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
Any ideas what we should check?
On Thu, Jan 4, 2024 at 3:03?PM Tim Schneider <tim.schneider1 at tu-darmstadt.de> wrote:
Hi,
I am using SLURM 22.05.9 on a small compute cluster. Since I reinstalled two of our nodes, I get the following error when launching a job:
slurmstepd: error: load_ebpf_prog: BPF load error (No space left on device). Please check your system limits (MEMLOCK).
Also the cgroups do not seem to work properly anymore, as I am able to see all GPUs even if I do not request them, which is not the case on the other nodes.
One difference I found between the updated nodes and the original nodes (both are Ubuntu 22.04) is the kernel version, which is "5.15.0-89-generic #99-Ubuntu SMP" on the functioning nodes and "5.15.0-91-generic #101-Ubuntu SMP" on the updated nodes. I could not figure out how to install the exact first kernel version on the updated nodes, but I noticed that when I reinstall 5.15.0 with this tool: https://github.com/pimlie/ubuntu-mainline-kernel.sh, the error message disappears. However, once I do that, the network driver does not function properly anymore, so this does not seem to be a good solution.
Has anyone seen this issue before or is there maybe something else I should take a look at? I am also happy to just find a workaround such that I can take these nodes back online.
I appreciate any help!
Thanks a lot in advance and best wishes,
Tim
-
Charles Hedrick -
Tim Schneider