Others might have more ideas, but anything I can think of would require a lot of manual steps to avoid mutual interference with jobs in the other partitions (allocating resources for a dummy job in the other partition, modifying the MPI host list to include nodes in the other partition, etc.).
So why not make another partition encompassing both sets of nodes? > On Mar 23, 2020, at 10:58 AM, CB <cbalw...@gmail.com> wrote: > > Hi Andy, > > Yes, they are on teh same network fabric. > > Sure, creating another partition that encompass all of the nodes of the two > or more partitions would solve the problem. > I am wondering if there are any other ways instead of creating a new > partition? > > Thanks, > Chansup > > > On Mon, Mar 23, 2020 at 11:51 AM Riebs, Andy <andy.ri...@hpe.com> wrote: > When you say “distinct compute nodes,” are they at least on the same network > fabric? > > > > If so, the first thing I’d try would be to create a new partition that > encompasses all of the nodes of the other two partitions. > > > > Andy > > > > From: slurm-users [mailto:slurm-users-boun...@lists.schedmd.com] On Behalf Of > CB > Sent: Monday, March 23, 2020 11:32 AM > To: Slurm User Community List <slurm-users@lists.schedmd.com> > Subject: [slurm-users] Running an MPI job across two partitions > > > > Hi, > > > > I'm running Slurm 19.05 version. > > > > Is there any way to launch an MPI job on a group of distributed nodes from > two or more partitions, where each partition has distinct compute nodes? > > > > I've looked at the heterogeneous job support but it creates two-separate jobs. > > > > If there is no such capability with the current Slurm, I'd like to hear any > recommendations or suggestions. > > > > Thanks, > > Chansup >
