I’d compare the RealMemory part of ’scontrol show node abhi-HP-EliteBook-840-G2’ to the RealMemory part of your slurm.conf:
> Nodes which register to the system with less than the configured resources > (e.g. too little memory), will be placed in the "DOWN" state to avoid > scheduling jobs on them. — https://slurm.schedmd.com/slurm.conf.html As far as GPUs go, it looks like you have Intel graphics on the Lenovo and a Radeon R7 on the HP? If so, then nothing is CUDA-compatible, but you might be able to make something work with OpenCL. No idea if that would give performance improvements over the CPUs, though. -- Mike Renfro, PhD / HPC Systems Administrator, Information Technology Services 931 372-3601 / Tennessee Tech University > On May 13, 2020, at 8:42 AM, Abhinandan Patil > <abhinandan_patil_1...@yahoo.com> wrote: > > Dear All, > > Preamble > ---------- > I want to form simple cluster with three laptops: > abhi-Latitude-E6430 //This serves as the controller > abhi-Lenovo-ideapad-330-15IKB //Compute Node > abhi-HP-EliteBook-840-G2 //Compute Node > > > Aim > ------------- > I want to make use of CPU+GPU+RAM on all the machines when I execute JAVA > programs or Python programs. > > > Implementation > ------------------------ > Now let us look at the slurm.conf > > On Machine abhi-Latitude-E6430 > > ClusterName=linux > ControlMachine=abhi-Latitude-E6430 > SlurmUser=abhi > SlurmctldPort=6817 > SlurmdPort=6818 > AuthType=auth/munge > SwitchType=switch/none > StateSaveLocation=/tmp > MpiDefault=none > ProctrackType=proctrack/pgid > NodeName=abhi-Lenovo-ideapad-330-15IKB RealMemory=12000 CPUs=2 > NodeName=abhi-HP-EliteBook-840-G2 RealMemory=14000 CPUs=2 > PartitionName=debug Nodes=ALL Default=YES MaxTime=INFINITE State=UP > > Same slurm.conf is copied to all the Machines. > > > Observations > -------------------------------------- > Now when I do > abhi@abhi-HP-EliteBook-840-G2:~$ service slurmd status > ● slurmd.service - Slurm node daemon > Loaded: loaded (/lib/systemd/system/slurmd.service; enabled; vendor > preset: enabled) > Active: active (running) since Wed 2020-05-13 18:50:01 IST; 1min 49s ago > Docs: man:slurmd(8) > Process: 98235 ExecStart=/usr/sbin/slurmd $SLURMD_OPTIONS (code=exited, > status=0/SUCCESS) > Main PID: 98253 (slurmd) > Tasks: 2 > Memory: 2.2M > CGroup: /system.slice/slurmd.service > └─98253 /usr/sbin/slurmd > > abhi@abhi-Lenovo-ideapad-330-15IKB:~$ service slurmd status > ● slurmd.service - Slurm node daemon > Loaded: loaded (/lib/systemd/system/slurmd.service; enabled; vendor > preset: enabled) > Active: active (running) since Wed 2020-05-13 18:50:20 IST; 8s ago > Docs: man:slurmd(8) > Process: 71709 ExecStart=/usr/sbin/slurmd $SLURMD_OPTIONS (code=exited, > status=0/SUCCESS) > Main PID: 71734 (slurmd) > Tasks: 2 > Memory: 2.0M > CGroup: /system.slice/slurmd.service > └─71734 /usr/sbin/slurmd > > abhi@abhi-Latitude-E6430:~$ service slurmctld status > ● slurmctld.service - Slurm controller daemon > Loaded: loaded (/lib/systemd/system/slurmctld.service; enabled; vendor > preset: enabled) > Active: active (running) since Wed 2020-05-13 18:48:58 IST; 4min 56s ago > Docs: man:slurmctld(8) > Process: 97114 ExecStart=/usr/sbin/slurmctld $SLURMCTLD_OPTIONS > (code=exited, status=0/SUCCESS) > Main PID: 97116 (slurmctld) > Tasks: 7 > Memory: 2.6M > CGroup: /system.slice/slurmctld.service > └─97116 /usr/sbin/slurmctld > > > However abhi@abhi-Latitude-E6430:~$ sinfo > PARTITION AVAIL TIMELIMIT NODES STATE NODELIST > debug* up infinite 1 down* abhi-Lenovo-ideapad-330-15IKB > > > Advice needed > ------------------------ > Please let me know Why I am seeing only one node. > Further how the total memory is calculated? Can Slurm make use of GPU > processing power as well > Please let me know if I have missed something in configuration or explanation. > > Thank you all > > Best Regards, > Abhinandan H. Patil, +919886406214 > https://www.AbhinandanHPatil.info > >
